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Log ID: 1325953 Text ID: 241718 Status: 1 Cost: 0.00 Date: 2026-01-14 07:21:12
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            "prompt_content": "If the topic is not in English, translate it into English. \nSummarize with key points and simple words all the editorial guidelines provided to you: for example, a place, profession, theme, keyword.",
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            "system": "The content you will receive is in json format. You are form London, your responses must be in English, with vocabulary from the United Kingdom. The response should be in json format. Do not return a linguistic consistency error Content format in json: {\"data\": \"brief\"} Response format in case of success: { \"status\" : \"ok\", \"response\": [\"point_1\", \"point_2\", ...] } Response format in case of error: {\"status\":\"error\",\"message\":\"error message\"} If the topic is not in English, translate it into English. Summarize with key points and simple words all the editorial guidelines provided to you: for example, a place, profession, theme, keyword."
        },
        "content": "{\"data\":\"Understanding Load Balancing: Key for Optimized Network Performance  \"}"
    },
    "response": {
        "status": "ok",
        "response": [
            "Load balancing is crucial for making sure networks run smoothly.",
            "It optimises network performance by sharing the workload.",
            "Think of it as distributing tasks evenly to avoid bottlenecks."
        ]
    }
}                        
Log ID: 1325954 Text ID: 241718 Status: 1 Cost: 0.01 Date: 2026-01-14 07:21:13
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            "prompt_content": "Remove the following topics from the provided list:\nSEO, natural referencing, duplication, backlinks, links, anchors, sponsorship, illustrations, images, word count, internal link, anchor, external link, original, unique, duplicated, AI, artificial intelligence, click, homepage, home, publication, linksgarden, approval, verification, category, no follow, do follow, link, guideline, guidelines, orphan, hierarchy, contextualize, copy-paste, proofread, bold, italic, bullet list, words, URL, site name, brand, name.",
            "model": "gemini-2.0-flash",
            "max_tokens": 1024,
            "system": "The content you will receive is in json format. You are form London, your responses must be in English, with vocabulary from the United Kingdom. The response should be in json format. Do not return a linguistic consistency error Content format in json: {\"data\":[\"instruction_1\", \"instruction_2\", ...]} Response format in case of success: { \"status\" : \"ok\", \"response\": [\"data 1\", \"data 2\", \"data etc.\"] } Response format in case of error: {\"status\":\"error\",\"message\":\"error message\"} Remove the following topics from the provided list: SEO, natural referencing, duplication, backlinks, links, anchors, sponsorship, illustrations, images, word count, internal link, anchor, external link, original, unique, duplicated, AI, artificial intelligence, click, homepage, home, publication, linksgarden, approval, verification, category, no follow, do follow, link, guideline, guidelines, orphan, hierarchy, contextualize, copy-paste, proofread, bold, italic, bullet list, words, URL, site name, brand, name."
        },
        "content": "{\"data\":[\"Load balancing is crucial for making sure networks run smoothly.\",\"It optimises network performance by sharing the workload.\",\"Think of it as distributing tasks evenly to avoid bottlenecks.\"]}"
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    "response": {
        "status": "ok",
        "response": [
            "Load balancing is absolutely crucial for ensuring networks run like clockwork, innit.",
            "It optimises network performance by divvying up the workload fairly.",
            "Picture it as sharing out the tasks evenly to avoid any right bottlenecks, yeah?"
        ]
    }
}                        
Log ID: 1325955 Text ID: 241718 Status: 1 Cost: 0.01 Date: 2026-01-14 07:21:15
{
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            "prompt_content": "Remove the following topics from the provided list:\nSEO, natural referencing, duplication, backlinks, links, anchors, sponsorship, illustrations, images, word count, internal link, anchor, external link, original, unique, duplicated, AI, artificial intelligence, click, homepage, home, publication, linksgarden, approval, verification, category, no follow, do follow, link, guideline, guidelines, orphan, hierarchy, contextualize, copy-paste, proofread, bold, italic, bullet list, words, URL, site name, brand, name.",
            "model": "gpt-4o-mini",
            "max_tokens": 1024,
            "system": "The content you will receive is in json format. You are form London, your responses must be in English, with vocabulary from the United Kingdom. The response should be in json format. Do not return a linguistic consistency error Content format in json: {\"data\":[\"instruction_1\", \"instruction_2\", ...]} Response format in case of success: { \"status\" : \"ok\", \"response\": [\"data 1\", \"data 2\", \"data etc.\"] } Response format in case of error: {\"status\":\"error\",\"message\":\"error message\"} Remove the following topics from the provided list: SEO, natural referencing, duplication, backlinks, links, anchors, sponsorship, illustrations, images, word count, internal link, anchor, external link, original, unique, duplicated, AI, artificial intelligence, click, homepage, home, publication, linksgarden, approval, verification, category, no follow, do follow, link, guideline, guidelines, orphan, hierarchy, contextualize, copy-paste, proofread, bold, italic, bullet list, words, URL, site name, brand, name."
        },
        "content": "{\"data\":[\"Load balancing is absolutely crucial for ensuring networks run like clockwork, innit.\",\"It optimises network performance by divvying up the workload fairly.\",\"Picture it as sharing out the tasks evenly to avoid any right bottlenecks, yeah?\"]}"
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    "response": {
        "status": "ok",
        "response": [
            "Load balancing is absolutely crucial for ensuring networks run like clockwork, innit.",
            "It optimises network performance by divvying up the workload fairly."
        ]
    }
}                        
Log ID: 1325956 Text ID: 241718 Status: 1 Cost: 0.01 Date: 2026-01-14 07:21:18
{
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            "ban_words": "0",
            "prompt_content": "We will give you a keyword, an idea, or a phrase. You will need to provide 20 thematic cluster ideas related to the keyword.",
            "model": "gemini-2.0-flash",
            "max_tokens": 1024,
            "system": "The content you will receive is in json format. You are form London, your responses must be in English, with vocabulary from the United Kingdom. The response should be in json format. Do not return a linguistic consistency error Content format in json: {\"data\":\"keyword\"} Response format in case of success: { \"status\" : \"ok\", \"response\": [\"data 1\", \"data 2\", \"data etc.\"] } Response format in case of error: {\"status\":\"error\",\"message\":\"error message\"} We will give you a keyword, an idea, or a phrase. You will need to provide 20 thematic cluster ideas related to the keyword."
        },
        "content": "{\"data\":\"Understanding Load Balancing: Key for Optimized Network Performance\"}"
    },
    "response": {
        "status": "ok",
        "response": [
            "Load Balancing Fundamentals: A Beginner's Guide",
            "Algorithms Demystified: Exploring Load Balancing Techniques",
            "Hardware vs. Software Load Balancers: Choosing the Right Tool",
            "Cloud Load Balancing: Scaling Applications in the Cloud",
            "Load Balancing in Microservices Architecture: Managing Complexity",
            "Health Checks and Monitoring: Ensuring Uptime and Reliability",
            "Session Persistence: Maintaining User Experience",
            "SSL/TLS Offloading: Enhancing Security and Performance",
            "Global Server Load Balancing (GSLB): Optimising for Global Users",
            "Content Switching: Intelligent Traffic Routing",
            "Load Balancing for Databases: Improving Database Performance",
            "Load Balancing for Web Servers: Handling High Traffic",
            "Load Balancing for Streaming Media: Delivering Smooth Video",
            "Load Balancing and Failover: Ensuring High Availability",
            "Troubleshooting Load Balancing Issues: Common Problems and Solutions",
            "The Future of Load Balancing: Emerging Technologies",
            "Case Studies: Real-World Load Balancing Implementations",
            "Performance Metrics: Measuring the Effectiveness of Load Balancing",
            "Load Balancing Security Considerations: Protecting Against Attacks",
            "Best Practices for Load Balancing Configuration and Management"
        ]
    }
}                        
Log ID: 1325957 Text ID: 241718 Status: 1 Cost: 0.44 Date: 2026-01-14 07:21:22
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            "prompt_content": "We will give you a content title, a comment, and important keywords to use. You will need to provide a certain number of main blog article subtitles with this information, along with 2 sub-subtitles for each main subtitle.",
            "model": "claude-sonnet-4-5-20250929",
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            "system": "The content you will receive is in json format. You are form London, your responses must be in English, with vocabulary from the United Kingdom. The response should be in json format. Do not return a linguistic consistency error Content format in json: {title:title, brief:['instruction_1', 'instruction_2', etc], keywords:['keyword_1', 'keyword_2', etc], sub_number:\"Number of subtitle\"} Response format in case of success: {\"status\": \"ok\", \"response\": [{\"main_title\": \"title of the provided content\", \"sub_1\": {\"h2\": \"the first main subtitle\", \"h3_1\": \"the first subtitle 1\", \"h3_2\": \"the first subtitle 2\"}, \"sub_2\": {\"h2\": \"the second main subtitle\",\"h3_1\": \"the second subtitle 1\",\"h3_2\": \"the second subtitle 2\"}, etc...}]} Response format in case of error: {\"status\":\"error\",\"message\":\"error message\"} We will give you a content title, a comment, and important keywords to use. You will need to provide a certain number of main blog article subtitles with this information, along with 2 sub-subtitles for each main subtitle.This list of words is prohibited, you must not say that these words are prohibited, you must not use them: In conclusion, However, It is important to note, Additionally, Therefore, As mentioned earlier, That being said, On the other hand, In this case, To clarify, For example, With that in mind, In summary, It is worth noting, Essentially, According to, In other words, Let me explain, In general, Ultimately"
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                    "h2": "The Fundamentals of Load Balancing in Modern Networks",
                    "h3_1": "What Load Balancing Actually Does for Your Infrastructure",
                    "h3_2": "Different Types of Load Balancing Algorithms Explained"
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                "sub_2": {
                    "h2": "Practical Benefits of Implementing Load Balancing Solutions",
                    "h3_1": "How Load Balancing Maximises Network Efficiency and Uptime",
                    "h3_2": "Real-World Applications Across Various Industries"
                }
            }
        ]
    }
}                        
Log ID: 1325958 Text ID: 241718 Status: 1 Cost: 0.06 Date: 2026-01-14 07:21:38
{
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            "prompt_content": "You are an agent who detects whether the content provided to you seems to be from a website, an error message, or a security verification of a site or web server. If the content sent is \"could not scrap,\" return true in the JSON.\nIgnore cookie requests in your judgment.",
            "model": "gemini-2.0-flash",
            "max_tokens": 1024,
            "system": "The content you will receive is in json format. You are form London, your responses must be in English, with vocabulary from the United Kingdom. The response should be in json format. Do not return a linguistic consistency error Content format in json: {\"data\":\"content\"} Response format in case of success: {\"status\" : \"ok\",\"response\":\"true (firewall)/false (real content)\"} Response format in case of error: {\"status\":\"error\",\"message\":\"error message\"} You are an agent who detects whether the content provided to you seems to be from a website, an error message, or a security verification of a site or web server. If the content sent is \"could not scrap,\" return true in the JSON. Ignore cookie requests in your judgment."
        },
        "content": "{\"data\":\"Skip to content\\nVisit Product Site\\nITAM\\nITSM\\nAIOps\\nITOps\\nProducts\\nInfraon Infinity\\nInfraon Assets\\nInfraon ITSM\\nInfraon NMS\\nInfraon ITIM\\/IMS\\nInfraon AIOps\\nInfraon NCCM\\nInfraon OSS\\nContact Us\\nAPI Monitoring\\nInventory Management\\nITOps\\nNetwork Availability Monitoring Tools\\nNetwork Configuration Management\\nNetwork Monitoring System\\nNetwork Performance Monitor\\nHome\\nWhat is Load Balancing? How It Works to Optimize Network Performance?\\nWritten by\\nPrashanth\\nPosted on\\nMay 19, 2025\\nMay 19, 2025\\nLess than\\nmin read\\nLast updated on \\t\\t\\t\\tMay 19, 2025\\nPost Views:\\n1,781\\nLoad balancing helps regulate incoming network traffic by distributing requests across multiple servers, preventing bottlenecks and ensuring consistent performance. By spreading requests among various servers, this process prevents any single point from being overwhelmed, keeping systems responsive and operational, especially during high-demand periods.\\nRelated Blog\\n:\\nTop Metrics to Monitor for AWS (ELB) Elastic Load Balancing\\nWhat Is Load Balancing \\u2013 and How Does It Work?\\nLoad balancing involves distributing network traffic across various servers to prevent any single server from being overloaded, ensuring that the system can handle increased request volumes without performance degradation. It acts like a traffic cop, directing client requests to different servers to prevent downtime and maintain smooth operations.\\nFor example, during Amazon\\u2019s Black Friday sales, load balancing distributes millions of user requests across numerous servers to keep the website responsive. Similarly, Gmail uses load balancing to manage incoming emails across its server fleet, ensuring users can access their inboxes without delays.\\nThis distribution prevents server crashes by balancing the load, reducing the chance of service interruptions. Major enterprises rely on this technology to handle high-traffic websites, maintaining user satisfaction and operational continuity even under heavy usage.\\nWhy is Load Balancing Important?\\nHandling network traffic without load balancing presents several challenges. One major issue is the single point of failure: if all traffic goes to one server and it fails or becomes overloaded, the entire service can stop, causing downtime, lost revenue, or diminished user trust. Another problem is uneven server utilization, where some servers handle too many requests while others sit idle, leading to poor performance and higher operational costs.\\nLoad balancing tackles these issues by distributing traffic evenly across servers, enhancing scalability by allowing businesses to add servers as traffic grows and improving reliability by redirecting requests if a server fails, minimizing disruptions. It also strengthens security by spreading traffic to reduce the impact of denial-of-service attacks, ensuring no single server becomes a vulnerable target. This combination of benefits makes load balancing a key strategy for managing modern network demands.\\nTypes of Load Balancers\\nHardware load balancers\\n: Hardware load balancers are physical devices built specifically to distribute network traffic across servers. Known for high performance and reliability, they are often used by large enterprises running critical applications where even brief downtime is costly. These devices handle traffic distribution with dedicated hardware, offering robust solutions for consistent, high-volume workloads.\\nSoftware load balancers\\n:\\nSoftware load balancers are applications running on standard server hardware, providing flexibility and scalability. They adapt to changing traffic patterns, making them ideal for dynamic environments like cloud setups. Businesses can adjust their capacity by modifying the software, offering a cost-effective option compared to dedicated hardware.\\nCloud-based load balancers\\n:\\nCloud-based load balancers are provided by platforms like Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP). These scalable solutions automatically adjust to traffic fluctuations, integrating seamlessly with cloud infrastructures. They operate on a pay-as-you-go model, making them suitable for businesses seeking scalable, distributed load-balancing without managing physical devices.\\nGlobal vs. local load balancing\\n:\\nLocal load balancing distributes traffic within a single data center, managing load for servers at one location. Global load balancing, however, directs traffic across multiple regions, sending users to the nearest or most available data center to reduce latency and handle regional failovers. This ensures a high availability of services with a worldwide user base.\\nLoad Balancing Algorithms Explained\\nAlgorithms determine how load balancers distribute traffic, each with unique approaches.\\n\\u00a0\\n\\u00a0\\n\\u00a0\\nRound robin\\n\\u00a0\\n\\u00a0It sends requests sequentially to each server in turn, cycling through the list to ensure equal distribution over time. It\\u2019s straightforward but doesn\\u2019t consider server load, which can lead to uneven distribution if servers vary in capacity.\\u00a0\\n\\u00a0\\u00a0\\n\\u00a0\\nLeast connections\\n\\u00a0\\u00a0\\n\\u00a0It directs new requests to the server with the fewest active connections, balancing load based on current usage. This approach ensures no server becomes overwhelmed by too many simultaneous requests, optimizing performance under varying conditions.\\u00a0\\n\\u00a0\\u00a0\\n\\u00a0\\nIP hashing\\n\\u00a0\\n\\u00a0It maps each client\\u2019s IP address to a specific server, ensuring consistent handling for the same user. This is useful for applications requiring session persistence without replication, though it may unevenly distribute load if some clients generate more traffic.\\u00a0\\n\\u00a0\\n\\u00a0\\n\\u00a0\\nWeighted load balancing\\n\\u00a0\\n\\u00a0It assigns weights to servers based on their capacity, distributing requests proportionally. A server with a higher weight handles more traffic, optimizing the utilization of more powerful resources for better performance.\\u00a0\\n\\u00a0\\n\\u00a0\\nAdaptive load balancing\\n\\u00a0\\u00a0\\n\\u00a0It uses real-time data like response time or CPU usage to dynamically adjust traffic distribution. Some implementations incorporate machine learning or AI to predict patterns and optimize server allocation based on historical trends.\\u00a0\\nHow Does Load Balancing Work? The Technology Behind It\\nA load-balancing system\\u2019s architecture includes a load balancer receiving all incoming requests and backend servers processing them. The load balancer uses configured algorithms to select the appropriate server, performs health checks to confirm server operability, and redirects traffic if a server fails, maintaining service continuity.\\nManual vs. automated load balancing\\nManual load balancing relies on static configurations set by predefined rules, requiring human intervention to adjust distribution. Automated load balancing, however, adjusts in real-time based on current conditions like server load, providing responsive management without manual oversight.\\nCentralized vs. distributed load balancing\\nCentralized load balancing uses a single load balancer to handle all traffic, offering simplicity but risking a single point of failure without redundancy. Distributed load balancing involves multiple nodes, often in a hierarchy, enhancing resilience and scalability, such as global load balancers directing to regional ones.\\nLoad balancing and network security\\nLoad balancing bolsters security by protecting against DDoS attacks through traffic distribution. By spreading malicious requests across servers, it ensures some continue handling legitimate traffic, reducing attack impact. It prevents single points of failure with redundancy and integrates with firewalls and intrusion detection systems. SSL termination further secures communications by inspecting encrypted traffic.\\nLoad Balancer vs. Reverse Proxy: What\\u2019s the Difference?\\nLoad balancers distribute traffic across servers to optimize performance and reliability, while reverse proxies act as intermediaries, forwarding requests and adding functions like caching or content filtering. Some reverse proxies handle load balancing, but their broader capabilities set them apart. Businesses often combine both in layered setups, using load balancers to distribute traffic to reverse proxies for added functionality.\\nCommon Load Balancing Tools and Solutions\\n\\u00a0\\nNGINX\\n\\u00a0\\n\\u00a0Open-source web server with robust load balancing, supporting multiple algorithms.\\u00a0\\n\\u00a0\\nHAProxy\\n\\u00a0\\n\\u00a0Open-source tool designed for high availability, handling large concurrent connections.\\u00a0\\n\\u00a0\\nAWS Elastic Load Balancer\\n\\u00a0\\n\\u00a0Cloud-based, auto-distributes traffic across EC2 instances.\\u00a0\\n\\u00a0\\nAzure Load Balancer\\n\\u00a0\\n\\u00a0Microsoft\\u2019s cloud service, supporting traffic distribution across VMs.\\u00a0\\n\\u00a0\\nGoogle Cloud Load Balancing\\n\\u00a0GCP\\u2019s suite for global and network load balancing.\\u00a0\\nFactors to Consider While Choosing the Right Load Balancing Solution\\nChoosing the right load balancing solution requires a thorough evaluation of several factors to ensure it aligns with current operational demands and future business goals.\\nTraffic volume and scalability\\n:\\nBusinesses must determine the typical and peak loads their systems experience, such as during product launches or holiday shopping periods. A load balancer should handle current traffic while offering scalability. For example, a small startup might use a basic software load balancer, while a global enterprise with millions of daily requests might choose a cloud-based solution.\\nSecurity features\\n:\\nSecurity is critical in today\\u2019s threat-heavy environment. Load balancers should protect against DDoS attacks by distributing malicious traffic across servers, reducing the risk of overload. Features like SSL termination for encrypted traffic management or integration with intrusion detection systems strengthen defenses.\\nCloud or on-premises integration\\n:\\nA load balancer must integrate with the existing technology stack, whether cloud platforms like AWS EC2 or Azure VMs or on-premises servers. Cloud-native solutions offer tight integration for cloud-heavy businesses, while hardware or software options like NGINX suit hybrid or local setups.\\nCost implications\\n:\\nCost includes initial setup, maintenance, and subscription fees. Hardware load balancers require a higher upfront investment, while cloud solutions involve recurring usage-based charges. Businesses should calculate total costs over time, considering scalability\\u2014pay-as-you-go models suit variable traffic, while fixed-cost hardware fits stable workloads.\\nEase of management\\n:\\nSolutions with automated health checks reduce administrative effort by monitoring server status and redirecting traffic from failing nodes. User-friendly interfaces or dashboards simplify oversight, enabling quick responses to traffic shifts. Smaller teams might prefer managed cloud services, while larger ones might choose customizable open-source tools.\\nSupport and reliability\\n:\\nA dependable solution requires consistent uptime and fast issue resolution backed by a provider with a strong track record. Cloud providers like Google Cloud offer extensive support, while open-source tools rely on community assistance unless commercially supported.\\nBusiness needs\\n:\\nEvaluating these factors \\u2014 traffic volume, security, integration, cost, management, and reliability \\u2014 means aligning them with business goals. Testing through trials or simulations, alongside industry insights, ensures the chosen load balancer supports long-term performance and uptime.\\nFuture Trends of Load Balancing\\nThe future of load balancing is shaped by emerging technologies:\\nAI and ML\\n:\\nThese are integrated to provide highly intelligent and adaptive traffic distribution, analyzing data to predict patterns and optimize server allocation, enhancing responsiveness to traffic changes and security against attacks.\\nEdge computing\\n:\\nEdge processing (closer to the source) reduces latency, with edge load balancers deployed geographically to direct traffic to the nearest server, improving performance by offloading central data centers.\\nRelated Blog\\n:\\nWhat is IPAM? How IP Address Management Works\\nOther trends\\n:\\nServerless load balancing adapts to functions and microservices dynamically, software-defined load balancing offers flexibility through software policies, and green load balancing focuses on energy-efficient traffic distribution to minimize environmental impact.\\nAs these technologies mature, load balancing will become increasingly advanced, offering better performance, security, and efficiency for network services.\\nLoad Balancing\\nNetwork Monitoring\\nPrashanth\\nMember since\\nDecember 20, 2022\\nLoading\\n+ Follow\\nFollowing\\nPrevious story :\\nWhat is IPAM? How IP Address Management Works\\nNext story :\\nHow to Know When You\\u2019ve Outgrown Your Asset Management Solution\\nRelated articles\\nITOps\\nA Beginner\\u2019s Guide to IT Operations Management Tools\\nPost Views: 3,630 Operations management is fundamental to a successful enterprise. A company can only produce products and deliver services to meet customer needs and enhance customer satisfaction with effective operations. An operations management lifecycle includes tools and technology, basic principles, best practices, and all the elements of an operations strategy. An operations manager must [\\u2026]\\nWritten by\\nArun Prasath R\\nJanuary 19, 2023\\nJuly 21, 2025\\nITOps\\nRemote Asset Monitoring\\nWhy is Remote Monitoring & Maintenance Important for Companies?\\nPost Views: 2,675 Many business operations and tasks are carried out in a distributed manner in this remote\\/hybrid and mobile era. From locations throughout the world, managed service providers (MSPs) and their clients are attempting to accomplish more with fewer resources. Any MSP expansion needs a remote monitoring management (RMM) platform to assist efficient techs, [\\u2026]\\nWritten by\\nAbhirup Sarkar\\nAugust 19, 2022\\nDecember 30, 2024\\nITOps\\nNetwork Performance Monitor\\nIs it harmful when your network performance monitoring tools don\\u2019t see everything?\\nPost Views: 1,769 Using network management tools, administrators monitor and control a network. A network is monitored for any ongoing performance or fault issues. Because networks are complex, administrators rely on such automated solutions.\\u00a0 Why are network performance monitoring tools important? Performance monitoring is an everyday activity for network administrators. Identifying bandwidth utilization, network congestion, [\\u2026]\\nWritten by\\nVinutha\\nMarch 29, 2022\\nNovember 27, 2024\\nNetwork Availability Monitoring Tools\\nNetwork Monitoring System\\nNetwork Topologies in Computer Networks: Types, Diagrams & Mapping Explained\\u00a0\\nPost Views: 5,526 Every connected device, cable, and transmission path contributes to how data flows across an IT environment. These physical and logical arrangements define what is known as topology in a computer network. For IT teams managing increasingly complex infrastructures, understanding how devices are arranged and how they communicate is critical.\\u00a0 This blog aims [\\u2026]\\nWritten by\\nPrashanth\\nJuly 17, 2025\\nSeptember 10, 2025\\nInfraon IMS\\nITOps\\nWhat is QoS\\nPost Views: 6,165 Quality of Service (QoS) uses methods or technologies on networks to control traffic and ensure the performance of critical applications with limited network capacity. It enables organizations to adjust their overall network traffic by prioritizing specific high-performance applications. Your internet connection is like a highway where different types of vehicles travel to [\\u2026]\\nWritten by\\nSudhakar Aruchamy\\nJuly 13, 2022\\nDecember 30, 2024\\nITOps\\nNetwork Performance Monitor\\nTop 3 Network Performance Monitoring Tools in 2025\\nPost Views: 1,718 Today, organizations need to stay protected and optimized for network performance monitoring, security, and load. Without the right network performance tool, an organization cannot function efficiently, and its service-level agreements cannot be fulfilled. Customers may not be satisfied with the timeliness of the products and services, and sales, engineering, support, and customer [\\u2026]\\nWritten by\\nVinutha\\nMarch 29, 2022\\nMarch 27, 2025\\nNetwork Availability Monitoring Tools\\nNetwork Configuration Management\\nNetwork Management\\nNetwork Monitoring System\\nNetwork Performance Monitor\\nNetwork Topology\\nWhat are Network Topology \\u2013 Essentials & Future Trends\\nPost Views: 1,136 A well-structured network topology is the backbone of modern IT infrastructure. It defines how devices are connected and how data flows, directly impacting scalability, speed, and security. Without the right design, even the best hardware can underperform. That\\u2019s why understanding network topology is key for any growing business. In this blog, we\\u2019ll [\\u2026]\\nWritten by\\nDeepak Kumar S\\nSeptember 17, 2025\\nSeptember 17, 2025\\nGood Reads\\nITOps\\nNetwork Monitoring System\\n5 Key Features to Look for in Network Monitoring Software Tool\\nPost Views: 6,628 Network infrastructure forms the backbone of any business, big or small. As networks become increasingly complex and critical for operations, the importance of robust network monitoring software has skyrocketed. Network Monitoring Software Tools (NMS) is a crucial tool for IT professionals to ensure their networks\\u2019 health, performance, and security. But with so [\\u2026]\\nWritten by\\nManjeet Gupta\\nNovember 30, 2023\\nSeptember 10, 2025\\nNext\\nTable of Contents\\nWhat Is Load Balancing \\u2013 and How Does It Work?\\nWhy is Load Balancing Important?\\nTypes of Load Balancers\\nLoad Balancing Algorithms Explained\\nHow Does Load Balancing Work? The Technology Behind It\\nManual vs. automated load balancing\\nCentralized vs. distributed load balancing\\nLoad balancing and network security\\nLoad Balancer vs. Reverse Proxy: What\\u2019s the Difference?\\nCommon Load Balancing Tools and Solutions\\nFactors to Consider While Choosing the Right Load Balancing Solution\\nFuture Trends of Load Balancing\\nMost Viewed Posts\\nIT Operations Management (ITOM) Best Practices\\n(68,817)\\nWhat is An Asset Register, And What Are The Benefits of Maintaining Asset Registers?\\n(55,108)\\nWhat is customer-facing? Customer facing roles 101\\n(30,336)\\nSynonyms and Best Alternatives to \\u201cHappy to help\\u201d\\n(27,858)\\nChallenges in Physical Verification of Fixed Assets\\n(25,486)\\nRecent Posts\\nHow AIOps Transforms IT: Use Cases, ROI & Future of Automation\\nWhat\\u00a0Is\\u00a0IT\\u00a0Operations? A Complete Guide for IT Operations Managers in\\u00a02026\\nWhy IT Inventory Management Software Is Essential for Modern IT Teams?\\nITOM Explained: Modern IT Operations Management Trends\\nAI for IT Operations: How AIOps is Transforming IT Performance & Service Reliability\\nCategories\\nCategories\\nSelect Category\\nAI\\nAIOps\\nAlternative to VPN\\nAPI Monitoring\\nAsset Depreciation\\nAsset Lifecycle Management\\nAsset Maintenance Software\\nAsset Management\\nAsset Optimization\\nAsset Performance Management\\nAsset Tracking\\nAWS Monitoring Tool\\nBarcode Asset Management\\nCatalog Management\\nChange Management Models\\nChannel sales\\nChatbot\\nChatGPT\\nCMDB\\nCMMS\\nCost Management\\nCustomer Service\\nCustomer Success\\nCustomer Support\\nCustomer Survey\\nCybersecurity\\nDevOps\\nDigital Employee Experience (DEX)\\nEdge Computing\\nEditor\\u2019s choice\\nFeatured\\nFixed Asset Management\\nGood Reads\\nHardware Asset Management\\nHardware Inventory Management\\nHelpdesk Software\\nHybrid Cloud Management\\nIncident Management\\nIncident Response\\nInfraon AIOps\\nInfraon Assets\\nInfraon Desk\\nInfraon IMS\\nInfraon Platform\\nInfraon SecuRA\\nInfraon Story\\nInfrastructure Asset Management\\nInventory Management\\nIoT Devices\\nIPAM\\nIT Asset Discovery tools\\nIT Assets Audits\\nIT Budget\\nIT Infrastructure Management\\nIT Operation Management (ITOM)\\nIT Planning\\nIT Ticket\\nITAM\\nITIL Software\\nITIM\\nITOps\\nITSM\\nMSP\\nNetwork Availability Monitoring Tools\\nNetwork Configuration Management\\nNetwork Management\\nNetwork Monitoring System\\nNetwork Performance Monitor\\nNetwork Topology\\nPatch Management\\nPredictive Monitoring\\nPricing Guide & Comparisons\\nProblem Management\\nRelease Management\\nRemote Access\\nRemote Asset Monitoring\\nReturn on Investment\\nRisk Management\\nRMM(Remote Monitoring and Management)\\nSaaS\\nSD WAN\\nsecurity management\\nSelf Service Portal\\nServer Management\\nServer Monitoring Software\\nService Catalog\\nService Desk\\nService Level Agreement\\nSoftware Alternatives\\nSoftware Asset Management\\nSoftware License Management\\nSolutions\\nTax Saving\\nTelcom\\nTicket Management\\nTicket Management Software\\nUptime Monitoring Software\\nUser Experience\\nVendor Management\\nVideo Blogs\\nWorkflow Automation\\nZero Trust Network Access\\nZero Trust Security\\nArchive\\nArchives\\nSelect Month\\nDecember 2025 \\u00a0(9)\\nNovember 2025 \\u00a0(7)\\nOctober 2025 \\u00a0(7)\\nSeptember 2025 \\u00a0(9)\\nAugust 2025 \\u00a0(8)\\nJuly 2025 \\u00a0(9)\\nJune 2025 \\u00a0(8)\\nMay 2025 \\u00a0(10)\\nApril 2025 \\u00a0(10)\\nMarch 2025 \\u00a0(8)\\nFebruary 2025 \\u00a0(1)\\nJanuary 2025 \\u00a0(3)\\nDecember 2024 \\u00a0(1)\\nNovember 2024 \\u00a0(1)\\nOctober 2024 \\u00a0(1)\\nAugust 2024 \\u00a0(1)\\nJuly 2024 \\u00a0(6)\\nJune 2024 \\u00a0(12)\\nMay 2024 \\u00a0(13)\\nApril 2024 \\u00a0(11)\\nMarch 2024 \\u00a0(11)\\nFebruary 2024 \\u00a0(11)\\nJanuary 2024 \\u00a0(7)\\nDecember 2023 \\u00a0(11)\\nNovember 2023 \\u00a0(14)\\nOctober 2023 \\u00a0(10)\\nSeptember 2023 \\u00a0(12)\\nAugust 2023 \\u00a0(20)\\nJuly 2023 \\u00a0(21)\\nJune 2023 \\u00a0(20)\\nMay 2023 \\u00a0(29)\\nApril 2023 \\u00a0(13)\\nMarch 2023 \\u00a0(19)\\nFebruary 2023 \\u00a0(21)\\nJanuary 2023 \\u00a0(21)\\nDecember 2022 \\u00a0(13)\\nNovember 2022 \\u00a0(21)\\nOctober 2022 \\u00a0(11)\\nSeptember 2022 \\u00a0(20)\\nAugust 2022 \\u00a0(21)\\nJuly 2022 \\u00a0(19)\\nJune 2022 \\u00a0(14)\\nMay 2022 \\u00a0(17)\\nApril 2022 \\u00a0(9)\\nMarch 2022 \\u00a0(9)\\nFebruary 2022 \\u00a0(3)\\nJanuary 2022 \\u00a0(2)\\nDecember 2021 \\u00a0(1)\\nNovember 2021 \\u00a0(8)\\nOctober 2021 \\u00a0(4)\\nSeptember 2021 \\u00a0(1)\\nAugust 2021 \\u00a0(4)\\nFollow us on Social Media\\nOur Products\\nInfinity Platform\\nInfraon ITSM\\nInfraon Helpdesk\\nInfraon ITIM\\nInfraon NMS\\nInfraon Uptime\\nInfraon Assets\\nAnd many more\\n\\u00a9\\nInfraon Corp\\n. 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Log ID: 1325959 Text ID: 241718 Status: 1 Cost: 0.09 Date: 2026-01-14 07:21:42
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        "content": "{\"data\":\"Skip to content\\nVisit Product Site\\nITAM\\nITSM\\nAIOps\\nITOps\\nProducts\\nInfraon Infinity\\nInfraon Assets\\nInfraon ITSM\\nInfraon NMS\\nInfraon ITIM\\/IMS\\nInfraon AIOps\\nInfraon NCCM\\nInfraon OSS\\nContact Us\\nAPI Monitoring\\nInventory Management\\nITOps\\nNetwork Availability Monitoring Tools\\nNetwork Configuration Management\\nNetwork Monitoring System\\nNetwork Performance Monitor\\nHome\\nWhat is Load Balancing? How It Works to Optimize Network Performance?\\nWritten by\\nPrashanth\\nPosted on\\nMay 19, 2025\\nMay 19, 2025\\nLess than\\nmin read\\nLast updated on \\t\\t\\t\\tMay 19, 2025\\nPost Views:\\n1,781\\nLoad balancing helps regulate incoming network traffic by distributing requests across multiple servers, preventing bottlenecks and ensuring consistent performance. By spreading requests among various servers, this process prevents any single point from being overwhelmed, keeping systems responsive and operational, especially during high-demand periods.\\nRelated Blog\\n:\\nTop Metrics to Monitor for AWS (ELB) Elastic Load Balancing\\nWhat Is Load Balancing \\u2013 and How Does It Work?\\nLoad balancing involves distributing network traffic across various servers to prevent any single server from being overloaded, ensuring that the system can handle increased request volumes without performance degradation. It acts like a traffic cop, directing client requests to different servers to prevent downtime and maintain smooth operations.\\nFor example, during Amazon\\u2019s Black Friday sales, load balancing distributes millions of user requests across numerous servers to keep the website responsive. Similarly, Gmail uses load balancing to manage incoming emails across its server fleet, ensuring users can access their inboxes without delays.\\nThis distribution prevents server crashes by balancing the load, reducing the chance of service interruptions. Major enterprises rely on this technology to handle high-traffic websites, maintaining user satisfaction and operational continuity even under heavy usage.\\nWhy is Load Balancing Important?\\nHandling network traffic without load balancing presents several challenges. One major issue is the single point of failure: if all traffic goes to one server and it fails or becomes overloaded, the entire service can stop, causing downtime, lost revenue, or diminished user trust. Another problem is uneven server utilization, where some servers handle too many requests while others sit idle, leading to poor performance and higher operational costs.\\nLoad balancing tackles these issues by distributing traffic evenly across servers, enhancing scalability by allowing businesses to add servers as traffic grows and improving reliability by redirecting requests if a server fails, minimizing disruptions. It also strengthens security by spreading traffic to reduce the impact of denial-of-service attacks, ensuring no single server becomes a vulnerable target. This combination of benefits makes load balancing a key strategy for managing modern network demands.\\nTypes of Load Balancers\\nHardware load balancers\\n: Hardware load balancers are physical devices built specifically to distribute network traffic across servers. Known for high performance and reliability, they are often used by large enterprises running critical applications where even brief downtime is costly. These devices handle traffic distribution with dedicated hardware, offering robust solutions for consistent, high-volume workloads.\\nSoftware load balancers\\n:\\nSoftware load balancers are applications running on standard server hardware, providing flexibility and scalability. They adapt to changing traffic patterns, making them ideal for dynamic environments like cloud setups. Businesses can adjust their capacity by modifying the software, offering a cost-effective option compared to dedicated hardware.\\nCloud-based load balancers\\n:\\nCloud-based load balancers are provided by platforms like Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP). These scalable solutions automatically adjust to traffic fluctuations, integrating seamlessly with cloud infrastructures. They operate on a pay-as-you-go model, making them suitable for businesses seeking scalable, distributed load-balancing without managing physical devices.\\nGlobal vs. local load balancing\\n:\\nLocal load balancing distributes traffic within a single data center, managing load for servers at one location. Global load balancing, however, directs traffic across multiple regions, sending users to the nearest or most available data center to reduce latency and handle regional failovers. This ensures a high availability of services with a worldwide user base.\\nLoad Balancing Algorithms Explained\\nAlgorithms determine how load balancers distribute traffic, each with unique approaches.\\n\\u00a0\\n\\u00a0\\n\\u00a0\\nRound robin\\n\\u00a0\\n\\u00a0It sends requests sequentially to each server in turn, cycling through the list to ensure equal distribution over time. It\\u2019s straightforward but doesn\\u2019t consider server load, which can lead to uneven distribution if servers vary in capacity.\\u00a0\\n\\u00a0\\u00a0\\n\\u00a0\\nLeast connections\\n\\u00a0\\u00a0\\n\\u00a0It directs new requests to the server with the fewest active connections, balancing load based on current usage. This approach ensures no server becomes overwhelmed by too many simultaneous requests, optimizing performance under varying conditions.\\u00a0\\n\\u00a0\\u00a0\\n\\u00a0\\nIP hashing\\n\\u00a0\\n\\u00a0It maps each client\\u2019s IP address to a specific server, ensuring consistent handling for the same user. This is useful for applications requiring session persistence without replication, though it may unevenly distribute load if some clients generate more traffic.\\u00a0\\n\\u00a0\\n\\u00a0\\n\\u00a0\\nWeighted load balancing\\n\\u00a0\\n\\u00a0It assigns weights to servers based on their capacity, distributing requests proportionally. A server with a higher weight handles more traffic, optimizing the utilization of more powerful resources for better performance.\\u00a0\\n\\u00a0\\n\\u00a0\\nAdaptive load balancing\\n\\u00a0\\u00a0\\n\\u00a0It uses real-time data like response time or CPU usage to dynamically adjust traffic distribution. Some implementations incorporate machine learning or AI to predict patterns and optimize server allocation based on historical trends.\\u00a0\\nHow Does Load Balancing Work? The Technology Behind It\\nA load-balancing system\\u2019s architecture includes a load balancer receiving all incoming requests and backend servers processing them. The load balancer uses configured algorithms to select the appropriate server, performs health checks to confirm server operability, and redirects traffic if a server fails, maintaining service continuity.\\nManual vs. automated load balancing\\nManual load balancing relies on static configurations set by predefined rules, requiring human intervention to adjust distribution. Automated load balancing, however, adjusts in real-time based on current conditions like server load, providing responsive management without manual oversight.\\nCentralized vs. distributed load balancing\\nCentralized load balancing uses a single load balancer to handle all traffic, offering simplicity but risking a single point of failure without redundancy. Distributed load balancing involves multiple nodes, often in a hierarchy, enhancing resilience and scalability, such as global load balancers directing to regional ones.\\nLoad balancing and network security\\nLoad balancing bolsters security by protecting against DDoS attacks through traffic distribution. By spreading malicious requests across servers, it ensures some continue handling legitimate traffic, reducing attack impact. It prevents single points of failure with redundancy and integrates with firewalls and intrusion detection systems. SSL termination further secures communications by inspecting encrypted traffic.\\nLoad Balancer vs. Reverse Proxy: What\\u2019s the Difference?\\nLoad balancers distribute traffic across servers to optimize performance and reliability, while reverse proxies act as intermediaries, forwarding requests and adding functions like caching or content filtering. Some reverse proxies handle load balancing, but their broader capabilities set them apart. Businesses often combine both in layered setups, using load balancers to distribute traffic to reverse proxies for added functionality.\\nCommon Load Balancing Tools and Solutions\\n\\u00a0\\nNGINX\\n\\u00a0\\n\\u00a0Open-source web server with robust load balancing, supporting multiple algorithms.\\u00a0\\n\\u00a0\\nHAProxy\\n\\u00a0\\n\\u00a0Open-source tool designed for high availability, handling large concurrent connections.\\u00a0\\n\\u00a0\\nAWS Elastic Load Balancer\\n\\u00a0\\n\\u00a0Cloud-based, auto-distributes traffic across EC2 instances.\\u00a0\\n\\u00a0\\nAzure Load Balancer\\n\\u00a0\\n\\u00a0Microsoft\\u2019s cloud service, supporting traffic distribution across VMs.\\u00a0\\n\\u00a0\\nGoogle Cloud Load Balancing\\n\\u00a0GCP\\u2019s suite for global and network load balancing.\\u00a0\\nFactors to Consider While Choosing the Right Load Balancing Solution\\nChoosing the right load balancing solution requires a thorough evaluation of several factors to ensure it aligns with current operational demands and future business goals.\\nTraffic volume and scalability\\n:\\nBusinesses must determine the typical and peak loads their systems experience, such as during product launches or holiday shopping periods. A load balancer should handle current traffic while offering scalability. For example, a small startup might use a basic software load balancer, while a global enterprise with millions of daily requests might choose a cloud-based solution.\\nSecurity features\\n:\\nSecurity is critical in today\\u2019s threat-heavy environment. Load balancers should protect against DDoS attacks by distributing malicious traffic across servers, reducing the risk of overload. Features like SSL termination for encrypted traffic management or integration with intrusion detection systems strengthen defenses.\\nCloud or on-premises integration\\n:\\nA load balancer must integrate with the existing technology stack, whether cloud platforms like AWS EC2 or Azure VMs or on-premises servers. Cloud-native solutions offer tight integration for cloud-heavy businesses, while hardware or software options like NGINX suit hybrid or local setups.\\nCost implications\\n:\\nCost includes initial setup, maintenance, and subscription fees. Hardware load balancers require a higher upfront investment, while cloud solutions involve recurring usage-based charges. Businesses should calculate total costs over time, considering scalability\\u2014pay-as-you-go models suit variable traffic, while fixed-cost hardware fits stable workloads.\\nEase of management\\n:\\nSolutions with automated health checks reduce administrative effort by monitoring server status and redirecting traffic from failing nodes. User-friendly interfaces or dashboards simplify oversight, enabling quick responses to traffic shifts. Smaller teams might prefer managed cloud services, while larger ones might choose customizable open-source tools.\\nSupport and reliability\\n:\\nA dependable solution requires consistent uptime and fast issue resolution backed by a provider with a strong track record. Cloud providers like Google Cloud offer extensive support, while open-source tools rely on community assistance unless commercially supported.\\nBusiness needs\\n:\\nEvaluating these factors \\u2014 traffic volume, security, integration, cost, management, and reliability \\u2014 means aligning them with business goals. Testing through trials or simulations, alongside industry insights, ensures the chosen load balancer supports long-term performance and uptime.\\nFuture Trends of Load Balancing\\nThe future of load balancing is shaped by emerging technologies:\\nAI and ML\\n:\\nThese are integrated to provide highly intelligent and adaptive traffic distribution, analyzing data to predict patterns and optimize server allocation, enhancing responsiveness to traffic changes and security against attacks.\\nEdge computing\\n:\\nEdge processing (closer to the source) reduces latency, with edge load balancers deployed geographically to direct traffic to the nearest server, improving performance by offloading central data centers.\\nRelated Blog\\n:\\nWhat is IPAM? How IP Address Management Works\\nOther trends\\n:\\nServerless load balancing adapts to functions and microservices dynamically, software-defined load balancing offers flexibility through software policies, and green load balancing focuses on energy-efficient traffic distribution to minimize environmental impact.\\nAs these technologies mature, load balancing will become increasingly advanced, offering better performance, security, and efficiency for network services.\\nLoad Balancing\\nNetwork Monitoring\\nPrashanth\\nMember since\\nDecember 20, 2022\\nLoading\\n+ Follow\\nFollowing\\nPrevious story :\\nWhat is IPAM? How IP Address Management Works\\nNext story :\\nHow to Know When You\\u2019ve Outgrown Your Asset Management Solution\\nRelated articles\\nITOps\\nA Beginner\\u2019s Guide to IT Operations Management Tools\\nPost Views: 3,630 Operations management is fundamental to a successful enterprise. A company can only produce products and deliver services to meet customer needs and enhance customer satisfaction with effective operations. An operations management lifecycle includes tools and technology, basic principles, best practices, and all the elements of an operations strategy. An operations manager must [\\u2026]\\nWritten by\\nArun Prasath R\\nJanuary 19, 2023\\nJuly 21, 2025\\nITOps\\nRemote Asset Monitoring\\nWhy is Remote Monitoring & Maintenance Important for Companies?\\nPost Views: 2,675 Many business operations and tasks are carried out in a distributed manner in this remote\\/hybrid and mobile era. From locations throughout the world, managed service providers (MSPs) and their clients are attempting to accomplish more with fewer resources. Any MSP expansion needs a remote monitoring management (RMM) platform to assist efficient techs, [\\u2026]\\nWritten by\\nAbhirup Sarkar\\nAugust 19, 2022\\nDecember 30, 2024\\nITOps\\nNetwork Performance Monitor\\nIs it harmful when your network performance monitoring tools don\\u2019t see everything?\\nPost Views: 1,769 Using network management tools, administrators monitor and control a network. A network is monitored for any ongoing performance or fault issues. Because networks are complex, administrators rely on such automated solutions.\\u00a0 Why are network performance monitoring tools important? Performance monitoring is an everyday activity for network administrators. Identifying bandwidth utilization, network congestion, [\\u2026]\\nWritten by\\nVinutha\\nMarch 29, 2022\\nNovember 27, 2024\\nNetwork Availability Monitoring Tools\\nNetwork Monitoring System\\nNetwork Topologies in Computer Networks: Types, Diagrams & Mapping Explained\\u00a0\\nPost Views: 5,526 Every connected device, cable, and transmission path contributes to how data flows across an IT environment. These physical and logical arrangements define what is known as topology in a computer network. For IT teams managing increasingly complex infrastructures, understanding how devices are arranged and how they communicate is critical.\\u00a0 This blog aims [\\u2026]\\nWritten by\\nPrashanth\\nJuly 17, 2025\\nSeptember 10, 2025\\nInfraon IMS\\nITOps\\nWhat is QoS\\nPost Views: 6,165 Quality of Service (QoS) uses methods or technologies on networks to control traffic and ensure the performance of critical applications with limited network capacity. It enables organizations to adjust their overall network traffic by prioritizing specific high-performance applications. Your internet connection is like a highway where different types of vehicles travel to [\\u2026]\\nWritten by\\nSudhakar Aruchamy\\nJuly 13, 2022\\nDecember 30, 2024\\nITOps\\nNetwork Performance Monitor\\nTop 3 Network Performance Monitoring Tools in 2025\\nPost Views: 1,718 Today, organizations need to stay protected and optimized for network performance monitoring, security, and load. Without the right network performance tool, an organization cannot function efficiently, and its service-level agreements cannot be fulfilled. Customers may not be satisfied with the timeliness of the products and services, and sales, engineering, support, and customer [\\u2026]\\nWritten by\\nVinutha\\nMarch 29, 2022\\nMarch 27, 2025\\nNetwork Availability Monitoring Tools\\nNetwork Configuration Management\\nNetwork Management\\nNetwork Monitoring System\\nNetwork Performance Monitor\\nNetwork Topology\\nWhat are Network Topology \\u2013 Essentials & Future Trends\\nPost Views: 1,136 A well-structured network topology is the backbone of modern IT infrastructure. It defines how devices are connected and how data flows, directly impacting scalability, speed, and security. Without the right design, even the best hardware can underperform. That\\u2019s why understanding network topology is key for any growing business. In this blog, we\\u2019ll [\\u2026]\\nWritten by\\nDeepak Kumar S\\nSeptember 17, 2025\\nSeptember 17, 2025\\nGood Reads\\nITOps\\nNetwork Monitoring System\\n5 Key Features to Look for in Network Monitoring Software Tool\\nPost Views: 6,628 Network infrastructure forms the backbone of any business, big or small. As networks become increasingly complex and critical for operations, the importance of robust network monitoring software has skyrocketed. Network Monitoring Software Tools (NMS) is a crucial tool for IT professionals to ensure their networks\\u2019 health, performance, and security. But with so [\\u2026]\\nWritten by\\nManjeet Gupta\\nNovember 30, 2023\\nSeptember 10, 2025\\nNext\\nTable of Contents\\nWhat Is Load Balancing \\u2013 and How Does It Work?\\nWhy is Load Balancing Important?\\nTypes of Load Balancers\\nLoad Balancing Algorithms Explained\\nHow Does Load Balancing Work? The Technology Behind It\\nManual vs. automated load balancing\\nCentralized vs. distributed load balancing\\nLoad balancing and network security\\nLoad Balancer vs. Reverse Proxy: What\\u2019s the Difference?\\nCommon Load Balancing Tools and Solutions\\nFactors to Consider While Choosing the Right Load Balancing Solution\\nFuture Trends of Load Balancing\\nMost Viewed Posts\\nIT Operations Management (ITOM) Best Practices\\n(68,817)\\nWhat is An Asset Register, And What Are The Benefits of Maintaining Asset Registers?\\n(55,108)\\nWhat is customer-facing? Customer facing roles 101\\n(30,336)\\nSynonyms and Best Alternatives to \\u201cHappy to help\\u201d\\n(27,858)\\nChallenges in Physical Verification of Fixed Assets\\n(25,486)\\nRecent Posts\\nHow AIOps Transforms IT: Use Cases, ROI & Future of Automation\\nWhat\\u00a0Is\\u00a0IT\\u00a0Operations? A Complete Guide for IT Operations Managers in\\u00a02026\\nWhy IT Inventory Management Software Is Essential for Modern IT Teams?\\nITOM Explained: Modern IT Operations Management Trends\\nAI for IT Operations: How AIOps is Transforming IT Performance & Service Reliability\\nCategories\\nCategories\\nSelect Category\\nAI\\nAIOps\\nAlternative to VPN\\nAPI Monitoring\\nAsset Depreciation\\nAsset Lifecycle Management\\nAsset Maintenance Software\\nAsset Management\\nAsset Optimization\\nAsset Performance Management\\nAsset Tracking\\nAWS Monitoring Tool\\nBarcode Asset Management\\nCatalog Management\\nChange Management Models\\nChannel sales\\nChatbot\\nChatGPT\\nCMDB\\nCMMS\\nCost Management\\nCustomer Service\\nCustomer Success\\nCustomer Support\\nCustomer Survey\\nCybersecurity\\nDevOps\\nDigital Employee Experience (DEX)\\nEdge Computing\\nEditor\\u2019s choice\\nFeatured\\nFixed Asset Management\\nGood Reads\\nHardware Asset Management\\nHardware Inventory Management\\nHelpdesk Software\\nHybrid Cloud Management\\nIncident Management\\nIncident Response\\nInfraon AIOps\\nInfraon Assets\\nInfraon Desk\\nInfraon IMS\\nInfraon Platform\\nInfraon SecuRA\\nInfraon Story\\nInfrastructure Asset Management\\nInventory Management\\nIoT Devices\\nIPAM\\nIT Asset Discovery tools\\nIT Assets Audits\\nIT Budget\\nIT Infrastructure Management\\nIT Operation Management (ITOM)\\nIT Planning\\nIT Ticket\\nITAM\\nITIL Software\\nITIM\\nITOps\\nITSM\\nMSP\\nNetwork Availability Monitoring Tools\\nNetwork Configuration Management\\nNetwork Management\\nNetwork Monitoring System\\nNetwork Performance Monitor\\nNetwork Topology\\nPatch Management\\nPredictive Monitoring\\nPricing Guide & Comparisons\\nProblem Management\\nRelease Management\\nRemote Access\\nRemote Asset Monitoring\\nReturn on Investment\\nRisk Management\\nRMM(Remote Monitoring and Management)\\nSaaS\\nSD WAN\\nsecurity management\\nSelf Service Portal\\nServer Management\\nServer Monitoring Software\\nService Catalog\\nService Desk\\nService Level Agreement\\nSoftware Alternatives\\nSoftware Asset Management\\nSoftware License Management\\nSolutions\\nTax Saving\\nTelcom\\nTicket Management\\nTicket Management Software\\nUptime Monitoring Software\\nUser Experience\\nVendor Management\\nVideo Blogs\\nWorkflow Automation\\nZero Trust Network Access\\nZero Trust Security\\nArchive\\nArchives\\nSelect Month\\nDecember 2025 \\u00a0(9)\\nNovember 2025 \\u00a0(7)\\nOctober 2025 \\u00a0(7)\\nSeptember 2025 \\u00a0(9)\\nAugust 2025 \\u00a0(8)\\nJuly 2025 \\u00a0(9)\\nJune 2025 \\u00a0(8)\\nMay 2025 \\u00a0(10)\\nApril 2025 \\u00a0(10)\\nMarch 2025 \\u00a0(8)\\nFebruary 2025 \\u00a0(1)\\nJanuary 2025 \\u00a0(3)\\nDecember 2024 \\u00a0(1)\\nNovember 2024 \\u00a0(1)\\nOctober 2024 \\u00a0(1)\\nAugust 2024 \\u00a0(1)\\nJuly 2024 \\u00a0(6)\\nJune 2024 \\u00a0(12)\\nMay 2024 \\u00a0(13)\\nApril 2024 \\u00a0(11)\\nMarch 2024 \\u00a0(11)\\nFebruary 2024 \\u00a0(11)\\nJanuary 2024 \\u00a0(7)\\nDecember 2023 \\u00a0(11)\\nNovember 2023 \\u00a0(14)\\nOctober 2023 \\u00a0(10)\\nSeptember 2023 \\u00a0(12)\\nAugust 2023 \\u00a0(20)\\nJuly 2023 \\u00a0(21)\\nJune 2023 \\u00a0(20)\\nMay 2023 \\u00a0(29)\\nApril 2023 \\u00a0(13)\\nMarch 2023 \\u00a0(19)\\nFebruary 2023 \\u00a0(21)\\nJanuary 2023 \\u00a0(21)\\nDecember 2022 \\u00a0(13)\\nNovember 2022 \\u00a0(21)\\nOctober 2022 \\u00a0(11)\\nSeptember 2022 \\u00a0(20)\\nAugust 2022 \\u00a0(21)\\nJuly 2022 \\u00a0(19)\\nJune 2022 \\u00a0(14)\\nMay 2022 \\u00a0(17)\\nApril 2022 \\u00a0(9)\\nMarch 2022 \\u00a0(9)\\nFebruary 2022 \\u00a0(3)\\nJanuary 2022 \\u00a0(2)\\nDecember 2021 \\u00a0(1)\\nNovember 2021 \\u00a0(8)\\nOctober 2021 \\u00a0(4)\\nSeptember 2021 \\u00a0(1)\\nAugust 2021 \\u00a0(4)\\nFollow us on Social Media\\nOur Products\\nInfinity Platform\\nInfraon ITSM\\nInfraon Helpdesk\\nInfraon ITIM\\nInfraon NMS\\nInfraon Uptime\\nInfraon Assets\\nAnd many more\\n\\u00a9\\nInfraon Corp\\n. All rights reserved\\nBook a Demo\\nStart Free Trial\\n\"}"
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        "response": [
            "Load balancing spreads network traffic across multiple servers.",
            "It prevents any single server from being overloaded, ensuring the website remains responsive.",
            "Traffic distribution ensures that the system handles increased request volumes without performance degradation.",
            "Without load balancing, a single point of failure can cause downtime and lost revenue.",
            "Load balancing enhances scalability by adding servers as traffic grows.",
            "It improves reliability by redirecting requests if a server fails.",
            "Load balancing strengthens security by reducing the impact of denial-of-service attacks.",
            "Types of Load Balancers:",
            "\t- Hardware load balancers: Physical devices known for high performance and reliability.",
            "\t- Software load balancers: Applications running on standard server hardware for flexibility.",
            "\t- Cloud-based load balancers: Solutions provided by platforms like AWS, Azure, and GCP, which scale automatically.",
            "Local load balancing distributes traffic within a single data centre.",
            "Global load balancing directs traffic across multiple regions.",
            "Load Balancing Algorithms:",
            "\t- Round robin: Sends requests sequentially to each server.",
            "\t- Least connections: Directs new requests to the server with the fewest active connections.",
            "\t- IP hashing: Maps each client’s IP address to a specific server.",
            "\t- Weighted load balancing: Assigns weights to servers based on their capacity.",
            "\t- Adaptive load balancing: Uses real-time data to dynamically adjust traffic distribution.",
            "Manual load balancing relies on static configurations.",
            "Automated load balancing adjusts in real-time based on current conditions.",
            "Centralized load balancing uses a single load balancer, risking a single point of failure.",
            "Distributed load balancing involves multiple nodes for resilience and scalability.",
            "Load balancing protects against DDoS attacks through traffic distribution.",
            "Load balancers distribute traffic, while reverse proxies add functions like caching.",
            "Common Load Balancing Tools:",
            "\t- NGINX: Open-source web server with robust load balancing.",
            "\t- HAProxy: Open-source tool for high availability.",
            "\t- AWS Elastic Load Balancer: Cloud-based service that distributes traffic across EC2 instances.",
            "\t- Azure Load Balancer: Microsoft’s cloud service for traffic distribution across VMs.",
            "\t- Google Cloud Load Balancing: GCP’s suite for global and network load balancing.",
            "Factors to Consider:",
            "\t- Traffic volume and scalability: Handle current traffic and offer scalability.",
            "\t- Security features: Protect against DDoS attacks.",
            "\t- Cloud or on-premises integration: Integrate with the existing tech stack.",
            "\t- Cost implications: Includes setup, maintenance, and subscription fees.",
            "\t- Ease of management: Automated health checks reduce administrative effort.",
            "\t- Support and reliability: Consistent uptime and fast issue resolution are required.",
            "Future Trends:",
            "\t- AI and ML: Adaptive traffic distribution.",
            "\t- Edge computing: Reduces latency by processing data closer to the source.",
            "\t- Serverless load balancing: Adapts to functions and microservices dynamically.",
            "The article was posted on May 19, 2025, and has 1,781 views."
        ]
    }
}                        
Log ID: 1325960 Text ID: 241718 Status: 0 Cost: 0.04 Date: 2026-01-14 07:21:46
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Server load balancing is often key to achieving this. Here is a quick guide to what you need to know.\\nUnderstanding load balancing\\nLoad balancing is the process of distributing incoming network traffic across multiple servers. It is implemented through the use of load-balancing algorithms. Here is an overview of the 7 main load-balancing algorithms currently in\\ndata centers\\n.\\nRound Robin\\nThe Round Robin algorithm distributes incoming requests sequentially across a pool of servers. Each server receives an equal share of requests in a rotating order. This method is simple and effective in scenarios where servers have similar capabilities and the load is relatively uniform.\\nWeighted Round Robin\\nWeighted Round Robin extends the basic Round Robin algorithm by assigning different weights to servers based on their capacity or performance. Servers with higher weights receive a proportionally greater share of incoming traffic. This approach allows for more efficient use of resources in environments where servers have different capabilities.\\nLeast Connections\\nThe Least Connections algorithm directs traffic to the server with the fewest active connections. This approach ensures that no single server is overwhelmed, making it ideal for environments where the duration of each connection varies. By dynamically assessing the current load, this algorithm balances requests more evenly and improves overall resource utilization, especially in systems with varying request processing times.\\nWeighted Least Connections\\nSimilar to the Weighted Round Robin, the Weighted Least Connections algorithm takes server capacity into account but focuses on current load rather than a simple round-robin rotation. Servers are assigned weights, and the algorithm considers both the number of active connections and the server\\u2019s weight when distributing traffic.\\nLeast Response Time\\nThe Least Response Time algorithm directs traffic to the server with the lowest current response time. By continuously monitoring and analyzing response times, this algorithm aims to route requests to the fastest server available, enhancing overall application performance and user experience.\\nIP Hash\\nThe IP Hash algorithm uses a hash function based on the client\\u2019s IP address to determine which server will handle the request. This method ensures that the same client is consistently directed to the same server, facilitating session persistence. It is particularly useful in applications where maintaining a consistent session state is crucial.\\nConsistent Hashing\\nConsistent Hashing is often used in distributed systems to ensure data is evenly distributed across servers. It also minimizes the need for reorganization when servers are added or removed. This algorithm assigns a hash value to both the server and the request, ensuring that similar requests are directed to the same server. It is especially beneficial for distributed databases and caching systems where data locality is important.\\nBenefits of load balancing\\nImplementing load balancing effectively brings numerous benefits to data centers. Here are just five of the main ones.\\nEnhanced application performance\\nBy distributing requests evenly, load balancing minimizes server response times and reduces latency. This leads to faster processing of user requests and a smoother, more responsive user experience. Load balancers can also redirect traffic from overloaded or slow servers to more capable ones, maintaining optimal performance levels even during peak traffic periods.\\nImproved resource utilization\\nLoad balancing ensures that network traffic is distributed evenly across all available servers. This maximizes the performance of each server and avoids the waste of underutilized servers. Properly balanced workloads also reduce the need for additional hardware, lowering operational costs and enhancing the overall efficiency of the data center.\\nIncreased availability and reliability\\nLoad balancing contributes to high availability by ensuring that if one server fails, traffic is automatically rerouted to other operational servers. This redundancy minimizes downtime and keeps applications available to users.\\nContinuous health monitoring of servers enables immediate detection and isolation of faults, allowing for quick recovery and maintaining service continuity. 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Customize hardware for peak performance\\u2014CPUs, RAM, storage. Tailor the OS and software stack. Benefit from control, efficiency, and guaranteed uptime. Improve your operating efficiency and lower your costs by leveraging the power of colocation services.\\nRead more\\nBlog Article\\nEnhancing Operational Efficiency: Implementing Best Practices For Efficient Data Center Management\\nA straightforward guide to enhancing data center operational efficiency by implementing best practices for effective data center management. Learn about effective strategies to use in key areas including infrastructure optimization, resource allocation, automation, and monitoring and analytics.\\nRead more\\nBlog Article\\nSeamless Data Center Migration: Key Strategies For A Smooth Transition\\nLearn how to achieve a seamless data center migration. Discover the 10 key components of an effective data center migration plan. Find out how to manage downtime and how to ensure the continued integrity of your data. Gain insight into the importance of post-migration optimization.\\nRead more\\nGet Started\\nDiscover the DataBank Difference today:\\nHybrid infrastructure solutions with boundless edge reach and a human touch.\\nGet A Quote\\nSchedule a Tour\\nCENTRAL DATA CENTERS\\nChicago Data Centers\\nDenver Data Centers\\nIndianapolis Data Centers\\nKansas City Data Centers\\nMinneapolis Data Centers\\nEUROPE DATA CENTERS\\nUnited Kingdom Data Center\\nEAST DATA CENTERS\\nBoston Data Centers\\nCleveland Data Center\\nNew Jersey Data Centers\\nNew York City Data Centers\\nNorthern Virginia Data Centers\\nPhiladelphia Data Centers\\nPittsburgh Data Centers\\nSOUTH DATA CENTERS\\nAtlanta Data Centers\\nAustin Data Centers\\nDallas Data Centers\\nHouston Data Centers\\nMemphis Data Center\\nMiami Data Centers\\nWaco Data Centers\\nWEST DATA CENTERS\\nIrvine Data Centers\\nSalt Lake City Data Centers\\nSan Diego Data Centers\\nSeattle Data Centers\\nSilicon Valley Data Centers\\nData Centers\\nSolutions\\nCompliance\\nAbout Us\\nPrivacy Policy\\nTerms of Use\\nSales: 800.840.7533\\nSupport: 855.328.2247\\n\\u00a9 2026 DataBank Holdings, Ltd. | Google@databank.com\\nRequest a Quote\\nTell us about your infrastructure requirements and how to reach you, and one of team members will be in touch shortly.\\n\\\"\\n*\\n\\\" indicates required fields\\nFirst Name\\n*\\nLast Name\\n*\\nEmail\\n*\\nPhone Number\\n*\\nCompany Name\\n*\\nCompany Headquarters\\n*\\nPlease Select..\\nAlabama\\nAlaska\\nAmerican Samoa\\nArizona\\nArkansas\\nCalifornia\\nColorado\\nConnecticut\\nDelaware\\nDistrict of Columbia\\nFlorida\\nGeorgia\\nGuam\\nHawaii\\nIdaho\\nIllinois\\nIndiana\\nIowa\\nKansas\\nKentucky\\nLouisiana\\nMaine\\nMaryland\\nMassachusetts\\nMichigan\\nMinnesota\\nMississippi\\nMissouri\\nMontana\\nNebraska\\nNevada\\nNew Hampshire\\nNew Jersey\\nNew Mexico\\nNew York\\nNorth Carolina\\nNorth Dakota\\nNorthern Mariana 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Select..\\nAtlanta\\nAustin\\nBaltimore\\nBoston\\nChicago\\nCleveland\\nDallas\\nDenver\\nHouston\\nIndianapolis\\nIrvine\\nKansas City\\nLas Vegas\\nMemphis\\nMiami\\nMinneapolis\\nNew York\\nNewark\\nNorthern Virginia\\nPhiladelphia\\nPhoenix\\nPittsburgh\\nSalt Lake City\\nSan Diego\\nSeattle\\nSilicon Valley\\nWaco\\nFrance\\nUnited Kingdom\\nWhat is the reason for you interest in a data center tour?\\nPlease Select..\\nBusiness collaboration (e.g., exploring potential partnerships or services)\\nEducational purposes (e.g.,  learning about data center operations, architecture, or technology)\\nInvestor interest (e.g., reviewing assets or operational capabilities)\\nMedia or research purposes (e.g., writing articles, conducting studies)\\nProfessional development (e.g., related to career or job requirements)\\nTechnology evaluation (e.g., evaluating for potential purchase or service agreement)\\nPlease add anything else you\\u2019d like DataBank to know about your 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Log ID: 1325961 Text ID: 241718 Status: 1 Cost: 0.05 Date: 2026-01-14 07:21:48
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This approach allows for more efficient use of resources in environments where servers have different capabilities.\\nLeast Connections\\nThe Least Connections algorithm directs traffic to the server with the fewest active connections. This approach ensures that no single server is overwhelmed, making it ideal for environments where the duration of each connection varies. By dynamically assessing the current load, this algorithm balances requests more evenly and improves overall resource utilization, especially in systems with varying request processing times.\\nWeighted Least Connections\\nSimilar to the Weighted Round Robin, the Weighted Least Connections algorithm takes server capacity into account but focuses on current load rather than a simple round-robin rotation. 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It also minimizes the need for reorganization when servers are added or removed. This algorithm assigns a hash value to both the server and the request, ensuring that similar requests are directed to the same server. It is especially beneficial for distributed databases and caching systems where data locality is important.\\nBenefits of load balancing\\nImplementing load balancing effectively brings numerous benefits to data centers. Here are just five of the main ones.\\nEnhanced application performance\\nBy distributing requests evenly, load balancing minimizes server response times and reduces latency. This leads to faster processing of user requests and a smoother, more responsive user experience. Load balancers can also redirect traffic from overloaded or slow servers to more capable ones, maintaining optimal performance levels even during peak traffic periods.\\nImproved resource utilization\\nLoad balancing ensures that network traffic is distributed evenly across all available servers. This maximizes the performance of each server and avoids the waste of underutilized servers. Properly balanced workloads also reduce the need for additional hardware, lowering operational costs and enhancing the overall efficiency of the data center.\\nIncreased availability and reliability\\nLoad balancing contributes to high availability by ensuring that if one server fails, traffic is automatically rerouted to other operational servers. This redundancy minimizes downtime and keeps applications available to users.\\nContinuous health monitoring of servers enables immediate detection and isolation of faults, allowing for quick recovery and maintaining service continuity. High availability is crucial for mission-critical applications where downtime can have significant financial or operational impacts.\\nScalability\\nLoad balancers facilitate easy scaling of applications by adding or removing servers from the pool as demand fluctuates. This dynamic scalability supports\\nthe growth of data centers and adapts to varying workloads\\nwithout requiring major architectural changes.\\nAs traffic increases, new servers can be seamlessly integrated to handle the load, ensuring consistent performance. This flexibility allows data centers to efficiently manage resources and maintain service quality during traffic spikes or long-term growth.\\nSimplified maintenance and management\\nWith load balancing, individual servers can be taken offline for maintenance without affecting the overall availability of applications. Traffic is simply redirected to other servers, enabling seamless updates, patches, and hardware replacements.\\nThis simplifies the management of server infrastructure and ensures that maintenance tasks do not disrupt service delivery. Additionally, load balancers provide valuable insights and analytics on traffic patterns and server performance, aiding in capacity planning and proactive management.\\nShare Article\\nSearch:\\nPopular Categories\\nData Center\\nColocation\\nSecurity\\nCompliance\\nCloud\\nAI\\nHybrid\\nPeople\\nEdge\\nInterconnection\\nManaged Services\\nConnectivity\\nLeadership\\nHigh Performance Computing\\nPower\\nSupport\\nUncategorized\\nConstruction\\nCISO Corner\\nCISO\\nStorage\\nBare Metal\\nEthics\\nCommunity\\nCarrier Hotel\\nDRaaS\\nRelated Resources\\nBlog Article\\nControl Your Web Servers With The Help of Colocation Services\\nOptimize the performance of your web servers with colocation services. Customize hardware for peak performance\\u2014CPUs, RAM, storage. Tailor the OS and software stack. Benefit from control, efficiency, and guaranteed uptime. Improve your operating efficiency and lower your costs by leveraging the power of colocation services.\\nRead more\\nBlog Article\\nEnhancing Operational Efficiency: Implementing Best Practices For Efficient Data Center Management\\nA straightforward guide to enhancing data center operational efficiency by implementing best practices for effective data center management. Learn about effective strategies to use in key areas including infrastructure optimization, resource allocation, automation, and monitoring and analytics.\\nRead more\\nBlog Article\\nSeamless Data Center Migration: Key Strategies For A Smooth Transition\\nLearn how to achieve a seamless data center migration. Discover the 10 key components of an effective data center migration plan. Find out how to manage downtime and how to ensure the continued integrity of your data. Gain insight into the importance of post-migration optimization.\\nRead more\\nGet Started\\nDiscover the DataBank Difference today:\\nHybrid infrastructure solutions with boundless edge reach and a human touch.\\nGet A Quote\\nSchedule a Tour\\nCENTRAL DATA CENTERS\\nChicago Data Centers\\nDenver Data Centers\\nIndianapolis Data Centers\\nKansas City Data Centers\\nMinneapolis Data Centers\\nEUROPE DATA CENTERS\\nUnited Kingdom Data Center\\nEAST DATA CENTERS\\nBoston Data Centers\\nCleveland Data Center\\nNew Jersey Data Centers\\nNew York City Data Centers\\nNorthern Virginia Data Centers\\nPhiladelphia Data Centers\\nPittsburgh Data Centers\\nSOUTH DATA CENTERS\\nAtlanta Data Centers\\nAustin Data Centers\\nDallas Data Centers\\nHouston Data Centers\\nMemphis Data Center\\nMiami Data Centers\\nWaco Data Centers\\nWEST DATA CENTERS\\nIrvine Data Centers\\nSalt Lake City Data Centers\\nSan Diego Data Centers\\nSeattle Data Centers\\nSilicon Valley Data Centers\\nData Centers\\nSolutions\\nCompliance\\nAbout Us\\nPrivacy Policy\\nTerms of Use\\nSales: 800.840.7533\\nSupport: 855.328.2247\\n\\u00a9 2026 DataBank Holdings, Ltd. | Google@databank.com\\nRequest a Quote\\nTell us about your infrastructure requirements and how to reach you, and one of team members will be in touch shortly.\\n\\\"\\n*\\n\\\" indicates required fields\\nFirst Name\\n*\\nLast Name\\n*\\nEmail\\n*\\nPhone Number\\n*\\nCompany Name\\n*\\nCompany Headquarters\\n*\\nPlease Select..\\nAlabama\\nAlaska\\nAmerican Samoa\\nArizona\\nArkansas\\nCalifornia\\nColorado\\nConnecticut\\nDelaware\\nDistrict of Columbia\\nFlorida\\nGeorgia\\nGuam\\nHawaii\\nIdaho\\nIllinois\\nIndiana\\nIowa\\nKansas\\nKentucky\\nLouisiana\\nMaine\\nMaryland\\nMassachusetts\\nMichigan\\nMinnesota\\nMississippi\\nMissouri\\nMontana\\nNebraska\\nNevada\\nNew Hampshire\\nNew Jersey\\nNew Mexico\\nNew York\\nNorth Carolina\\nNorth Dakota\\nNorthern Mariana Islands\\nOhio\\nOklahoma\\nOregon\\nPennsylvania\\nPuerto Rico\\nRhode Island\\nSouth Carolina\\nSouth Dakota\\nTennessee\\nTexas\\nUtah\\nU.S. Virgin Islands\\nVermont\\nVirginia\\nWashington\\nWest Virginia\\nWisconsin\\nWyoming\\nArmed Forces Americas\\nArmed Forces Europe\\nArmed Forces Pacific\\nI'd like to get a quote for\\nColocation\\nInterconnection\\nSecurity & Compliance\\nCloud\\nBare Metal\\nManaged Services\\nAnything else you'd like to share?\\n*\\nConsent\\n*\\nBy checking this box, I agree to the use of my personal information in accordance with\\nDataBank\\u2019s Privacy Policy.\\nI understand that my information may be used for electronic marketing and other purposes, and that data protection standards may vary.\\n\\u0394\\nTour Our Facilities\\nLet us know which data center you'd like to visit and how to reach you, and one of team members will be in touch shortly.\\n\\\"\\n*\\n\\\" indicates required fields\\nFirst Name\\n*\\nLast Name\\n*\\nEmail\\n*\\nPhone Number\\n*\\nCompany Name\\n*\\nCompany Headquarters\\n*\\nPlease Select..\\nAlabama\\nAlaska\\nAmerican Samoa\\nArizona\\nArkansas\\nCalifornia\\nColorado\\nConnecticut\\nDelaware\\nDistrict of Columbia\\nFlorida\\nGeorgia\\nGuam\\nHawaii\\nIdaho\\nIllinois\\nIndiana\\nIowa\\nKansas\\nKentucky\\nLouisiana\\nMaine\\nMaryland\\nMassachusetts\\nMichigan\\nMinnesota\\nMississippi\\nMissouri\\nMontana\\nNebraska\\nNevada\\nNew Hampshire\\nNew Jersey\\nNew Mexico\\nNew York\\nNorth Carolina\\nNorth Dakota\\nNorthern Mariana Islands\\nOhio\\nOklahoma\\nOregon\\nPennsylvania\\nPuerto Rico\\nRhode Island\\nSouth Carolina\\nSouth Dakota\\nTennessee\\nTexas\\nUtah\\nU.S. Virgin Islands\\nVermont\\nVirginia\\nWashington\\nWest Virginia\\nWisconsin\\nWyoming\\nArmed Forces Americas\\nArmed Forces Europe\\nArmed Forces Pacific\\nI'm interested in touring the following metro:\\n*\\nPlease Select..\\nAtlanta\\nAustin\\nBaltimore\\nBoston\\nChicago\\nCleveland\\nDallas\\nDenver\\nHouston\\nIndianapolis\\nIrvine\\nKansas City\\nLas Vegas\\nMemphis\\nMiami\\nMinneapolis\\nNew York\\nNewark\\nNorthern Virginia\\nPhiladelphia\\nPhoenix\\nPittsburgh\\nSalt Lake City\\nSan Diego\\nSeattle\\nSilicon Valley\\nWaco\\nFrance\\nUnited Kingdom\\nWhat is the reason for you interest in a data center tour?\\nPlease Select..\\nBusiness collaboration (e.g., exploring potential partnerships or services)\\nEducational purposes (e.g.,  learning about data center operations, architecture, or technology)\\nInvestor interest (e.g., reviewing assets or operational capabilities)\\nMedia or research purposes (e.g., writing articles, conducting studies)\\nProfessional development (e.g., related to career or job requirements)\\nTechnology evaluation (e.g., evaluating for potential purchase or service agreement)\\nPlease add anything else you\\u2019d like DataBank to know about your inquiry:\\n*\\nConsent\\n*\\nBy checking this box, I agree to the use of my personal information in accordance with\\nDataBank\\u2019s Privacy Policy.\\nI understand that my information may be used for electronic marketing and other purposes, and that data protection standards may vary.\\n\\u0394\\n\"}"
    },
    "response": {
        "status": "ok",
        "response": [
            "DataBank have raised $1.1 billion in asset securitisation.",
            "DataBank offer data centres in the West, Central, South and East of the US, and in Europe (including the United Kingdom).",
            "They provide colocation, cloud, bare metal, interconnection and managed services.",
            "A new report suggests 60% of businesses are seeing a return on investment (ROI) from AI or expect to within a year.",
            "Load balancing is important for optimising performance and resources in data centres.",
            "Load balancing distributes network traffic across multiple servers using algorithms like Round Robin, Weighted Round Robin, Least Connections, Weighted Least Connections, Least Response Time, IP Hash, and Consistent Hashing.",
            "Load balancing can improve app performance, resource use, availability, scalability and simplifies maintenance.",
            "Article updated on June 30, 2024.",
            "You can request a quote or schedule a tour of their facilities.",
            "© 2026 DataBank Holdings, Ltd.",
            "Contact details: Sales: 800.840.7533, Support: 855.328.2247."
        ]
    }
}                        
Log ID: 1325962 Text ID: 241718 Status: 1 Cost: 0.00 Date: 2026-01-14 07:21:52
{
    "prompt": {
        "label": "is_firewall",
        "prompt": {
            "prompt_id": "6",
            "prompt_label": "is_firewall",
            "content_format": "{\"data\":\"content\"}",
            "success_format": "{\"status\" : \"ok\",\"response\":\"true (firewall)/false (real content)\"}",
            "error_format": "{\"status\":\"error\",\"message\":\"error message\"}",
            "ban_words": "0",
            "prompt_content": "You are an agent who detects whether the content provided to you seems to be from a website, an error message, or a security verification of a site or web server. If the content sent is \"could not scrap,\" return true in the JSON.\nIgnore cookie requests in your judgment.",
            "model": "gemini-2.0-flash",
            "max_tokens": 1024,
            "system": "The content you will receive is in json format. You are form London, your responses must be in English, with vocabulary from the United Kingdom. The response should be in json format. Do not return a linguistic consistency error Content format in json: {\"data\":\"content\"} Response format in case of success: {\"status\" : \"ok\",\"response\":\"true (firewall)/false (real content)\"} Response format in case of error: {\"status\":\"error\",\"message\":\"error message\"} You are an agent who detects whether the content provided to you seems to be from a website, an error message, or a security verification of a site or web server. If the content sent is \"could not scrap,\" return true in the JSON. Ignore cookie requests in your judgment."
        },
        "content": "{\"data\":\"could not scrap\\n\"}"
    },
    "response": {
        "status": "ok",
        "response": "true"
    }
}                        
Log ID: 1325963 Text ID: 241718 Status: 0 Cost: 0.00 Date: 2026-01-14 07:21:52
{
    "prompt": {
        "label": "resume_data",
        "prompt": {
            "prompt_id": "7",
            "prompt_label": "resume_data",
            "content_format": "{\"data\":\"content\"}",
            "success_format": "{ \"status\" : \"ok\", \"response\": [\"data 1\", \"data 2\", \"data etc.\"] }",
            "error_format": "{\"status\":\"error\",\"message\":\"error message\"}",
            "ban_words": "0",
            "prompt_content": "Summarize in English as a bullet-point list with simple words all the information and numerical data provided to you.",
            "model": "gemini-2.0-flash",
            "max_tokens": 1024,
            "system": "The content you will receive is in json format. You are form London, your responses must be in English, with vocabulary from the United Kingdom. The response should be in json format. Do not return a linguistic consistency error Content format in json: {\"data\":\"content\"} Response format in case of success: { \"status\" : \"ok\", \"response\": [\"data 1\", \"data 2\", \"data etc.\"] } Response format in case of error: {\"status\":\"error\",\"message\":\"error message\"} Summarize in English as a bullet-point list with simple words all the information and numerical data provided to you."
        },
        "content": "{\"data\":\"could not scrap\\n\"}"
    },
    "response": {
        "status": "error",
        "message": "Could not retrieve and summarise the content as the data could not be scraped."
    }
}                        
Log ID: 1325964 Text ID: 241718 Status: 0 Cost: 0.00 Date: 2026-01-14 07:21:53
{
    "prompt": {
        "label": "resume_data",
        "prompt": {
            "prompt_id": "7",
            "prompt_label": "resume_data",
            "content_format": "{\"data\":\"content\"}",
            "success_format": "{ \"status\" : \"ok\", \"response\": [\"data 1\", \"data 2\", \"data etc.\"] }",
            "error_format": "{\"status\":\"error\",\"message\":\"error message\"}",
            "ban_words": "0",
            "prompt_content": "Summarize in English as a bullet-point list with simple words all the information and numerical data provided to you.",
            "model": "gemini-2.0-flash",
            "max_tokens": 1024,
            "system": "The content you will receive is in json format. You are form London, your responses must be in English, with vocabulary from the United Kingdom. The response should be in json format. Do not return a linguistic consistency error Content format in json: {\"data\":\"content\"} Response format in case of success: { \"status\" : \"ok\", \"response\": [\"data 1\", \"data 2\", \"data etc.\"] } Response format in case of error: {\"status\":\"error\",\"message\":\"error message\"} Summarize in English as a bullet-point list with simple words all the information and numerical data provided to you."
        },
        "content": "{\"data\":\"could not scrap\\n\"}"
    },
    "response": {
        "status": "error",
        "message": "Couldn't summarise the information, as I wasn't able to retrieve any content, guv."
    }
}                        
Log ID: 1325965 Text ID: 241718 Status: 0 Cost: 0.00 Date: 2026-01-14 07:21:55
{
    "prompt": {
        "label": "resume_data",
        "prompt": {
            "prompt_id": "7",
            "prompt_label": "resume_data",
            "content_format": "{\"data\":\"content\"}",
            "success_format": "{ \"status\" : \"ok\", \"response\": [\"data 1\", \"data 2\", \"data etc.\"] }",
            "error_format": "{\"status\":\"error\",\"message\":\"error message\"}",
            "ban_words": "0",
            "prompt_content": "Summarize in English as a bullet-point list with simple words all the information and numerical data provided to you.",
            "model": "gemini-2.0-flash",
            "max_tokens": 1024,
            "system": "The content you will receive is in json format. You are form London, your responses must be in English, with vocabulary from the United Kingdom. The response should be in json format. Do not return a linguistic consistency error Content format in json: {\"data\":\"content\"} Response format in case of success: { \"status\" : \"ok\", \"response\": [\"data 1\", \"data 2\", \"data etc.\"] } Response format in case of error: {\"status\":\"error\",\"message\":\"error message\"} Summarize in English as a bullet-point list with simple words all the information and numerical data provided to you."
        },
        "content": "{\"data\":\"could not scrap\\n\"}"
    },
    "response": {
        "status": "error",
        "message": "I'm ever so sorry, but I couldn't quite get hold of any information to summarise, guv'nor. There doesn't seem to be any content there, so I'm afraid I'm drawing a blank."
    }
}                        
Log ID: 1325966 Text ID: 241718 Status: 1 Cost: 0.00 Date: 2026-01-14 07:21:58
{
    "prompt": {
        "label": "is_firewall",
        "prompt": {
            "prompt_id": "6",
            "prompt_label": "is_firewall",
            "content_format": "{\"data\":\"content\"}",
            "success_format": "{\"status\" : \"ok\",\"response\":\"true (firewall)/false (real content)\"}",
            "error_format": "{\"status\":\"error\",\"message\":\"error message\"}",
            "ban_words": "0",
            "prompt_content": "You are an agent who detects whether the content provided to you seems to be from a website, an error message, or a security verification of a site or web server. If the content sent is \"could not scrap,\" return true in the JSON.\nIgnore cookie requests in your judgment.",
            "model": "gemini-2.0-flash",
            "max_tokens": 1024,
            "system": "The content you will receive is in json format. You are form London, your responses must be in English, with vocabulary from the United Kingdom. The response should be in json format. Do not return a linguistic consistency error Content format in json: {\"data\":\"content\"} Response format in case of success: {\"status\" : \"ok\",\"response\":\"true (firewall)/false (real content)\"} Response format in case of error: {\"status\":\"error\",\"message\":\"error message\"} You are an agent who detects whether the content provided to you seems to be from a website, an error message, or a security verification of a site or web server. If the content sent is \"could not scrap,\" return true in the JSON. Ignore cookie requests in your judgment."
        },
        "content": "{\"data\":\"could not scrap\\n\"}"
    },
    "response": {
        "status": "ok",
        "response": "true"
    }
}                        
Log ID: 1325967 Text ID: 241718 Status: 0 Cost: 0.00 Date: 2026-01-14 07:21:59
{
    "prompt": {
        "label": "resume_data",
        "prompt": {
            "prompt_id": "7",
            "prompt_label": "resume_data",
            "content_format": "{\"data\":\"content\"}",
            "success_format": "{ \"status\" : \"ok\", \"response\": [\"data 1\", \"data 2\", \"data etc.\"] }",
            "error_format": "{\"status\":\"error\",\"message\":\"error message\"}",
            "ban_words": "0",
            "prompt_content": "Summarize in English as a bullet-point list with simple words all the information and numerical data provided to you.",
            "model": "gemini-2.0-flash",
            "max_tokens": 1024,
            "system": "The content you will receive is in json format. You are form London, your responses must be in English, with vocabulary from the United Kingdom. The response should be in json format. Do not return a linguistic consistency error Content format in json: {\"data\":\"content\"} Response format in case of success: { \"status\" : \"ok\", \"response\": [\"data 1\", \"data 2\", \"data etc.\"] } Response format in case of error: {\"status\":\"error\",\"message\":\"error message\"} Summarize in English as a bullet-point list with simple words all the information and numerical data provided to you."
        },
        "content": "{\"data\":\"could not scrap\\n\"}"
    },
    "response": {
        "status": "error",
        "message": "Could not retrieve or process the provided data.  It seems there's nowt there to summarise, innit?"
    }
}                        
Log ID: 1325968 Text ID: 241718 Status: 0 Cost: 0.00 Date: 2026-01-14 07:21:59
{
    "prompt": {
        "label": "resume_data",
        "prompt": {
            "prompt_id": "7",
            "prompt_label": "resume_data",
            "content_format": "{\"data\":\"content\"}",
            "success_format": "{ \"status\" : \"ok\", \"response\": [\"data 1\", \"data 2\", \"data etc.\"] }",
            "error_format": "{\"status\":\"error\",\"message\":\"error message\"}",
            "ban_words": "0",
            "prompt_content": "Summarize in English as a bullet-point list with simple words all the information and numerical data provided to you.",
            "model": "gemini-2.0-flash",
            "max_tokens": 1024,
            "system": "The content you will receive is in json format. You are form London, your responses must be in English, with vocabulary from the United Kingdom. The response should be in json format. Do not return a linguistic consistency error Content format in json: {\"data\":\"content\"} Response format in case of success: { \"status\" : \"ok\", \"response\": [\"data 1\", \"data 2\", \"data etc.\"] } Response format in case of error: {\"status\":\"error\",\"message\":\"error message\"} Summarize in English as a bullet-point list with simple words all the information and numerical data provided to you."
        },
        "content": "{\"data\":\"could not scrap\\n\"}"
    },
    "response": {
        "status": "error",
        "message": "Couldn't retrieve any information to summarise, guv."
    }
}                        
Log ID: 1325969 Text ID: 241718 Status: 0 Cost: 0.00 Date: 2026-01-14 07:22:00
{
    "prompt": {
        "label": "resume_data",
        "prompt": {
            "prompt_id": "7",
            "prompt_label": "resume_data",
            "content_format": "{\"data\":\"content\"}",
            "success_format": "{ \"status\" : \"ok\", \"response\": [\"data 1\", \"data 2\", \"data etc.\"] }",
            "error_format": "{\"status\":\"error\",\"message\":\"error message\"}",
            "ban_words": "0",
            "prompt_content": "Summarize in English as a bullet-point list with simple words all the information and numerical data provided to you.",
            "model": "gemini-2.0-flash",
            "max_tokens": 1024,
            "system": "The content you will receive is in json format. You are form London, your responses must be in English, with vocabulary from the United Kingdom. The response should be in json format. Do not return a linguistic consistency error Content format in json: {\"data\":\"content\"} Response format in case of success: { \"status\" : \"ok\", \"response\": [\"data 1\", \"data 2\", \"data etc.\"] } Response format in case of error: {\"status\":\"error\",\"message\":\"error message\"} Summarize in English as a bullet-point list with simple words all the information and numerical data provided to you."
        },
        "content": "{\"data\":\"could not scrap\\n\"}"
    },
    "response": {
        "status": "error",
        "message": "Could not summarise, mate. There's nowt to summarise from an empty data set."
    }
}                        
Log ID: 1325970 Text ID: 241718 Status: 1 Cost: 0.03 Date: 2026-01-14 07:22:05
{
    "prompt": {
        "label": "is_firewall",
        "prompt": {
            "prompt_id": "6",
            "prompt_label": "is_firewall",
            "content_format": "{\"data\":\"content\"}",
            "success_format": "{\"status\" : \"ok\",\"response\":\"true (firewall)/false (real content)\"}",
            "error_format": "{\"status\":\"error\",\"message\":\"error message\"}",
            "ban_words": "0",
            "prompt_content": "You are an agent who detects whether the content provided to you seems to be from a website, an error message, or a security verification of a site or web server. If the content sent is \"could not scrap,\" return true in the JSON.\nIgnore cookie requests in your judgment.",
            "model": "gemini-2.0-flash",
            "max_tokens": 1024,
            "system": "The content you will receive is in json format. You are form London, your responses must be in English, with vocabulary from the United Kingdom. The response should be in json format. Do not return a linguistic consistency error Content format in json: {\"data\":\"content\"} Response format in case of success: {\"status\" : \"ok\",\"response\":\"true (firewall)/false (real content)\"} Response format in case of error: {\"status\":\"error\",\"message\":\"error message\"} You are an agent who detects whether the content provided to you seems to be from a website, an error message, or a security verification of a site or web server. If the content sent is \"could not scrap,\" return true in the JSON. Ignore cookie requests in your judgment."
        },
        "content": "{\"data\":\"Choosing the Right Load Balancing Approach for Your Network: Static, Dynamic, &#x26; Advanced Techniques\\nLoad Balancing is the process of distributing\\nnetwork traffic\\namong multiple server resources. The objective of load balancing is to optimize certain\\nnetwork operations\\n.\\nEnsuring that a workload is spread evenly among the computing resources, this \\u201cbalanced load\\u201d improves application responsiveness and accommodates unexpected traffic spikes \\u2014 all\\nwithout\\ncompromising application performance.\\nLet\\u2019s take a deeper look at this important networking function.\\nWhat is a load balancer?\\nA load balancer is a device that automatically distributes network traffic across a cluster of servers. A load balancer could be either an actual\\nhardware device\\nor a\\nsoftware application\\nthat runs on other networking hardware.\\nLoad balancing is an important component in\\nfault tolerant systems\\n. In terms of network operations, load balancing helps to optimize:\\nResource utilization\\nApplication performance\\nAvailability\\nService dependability\\nGenerally, this cluster of servers is likely housed in the same\\ndata center\\n. However, with more companies moving workloads to the cloud, load balancers can also balance traffic across multiple data centers.\\n(Related reading:\\ndistributed systems\\n&\\ndistributed tracing\\n.)\\nHow load balancing works\\nLoad balancers can operate on different\\nnetwork OSI layers\\ndepending on how you want to filter traffic and make decisions about how to filter it.\\nFor example, a load balancer could operate:\\nOn layer 4 by filtering traffic based on IP addresses\\nOn layer 7 by filtering based on HTTP header data\\nWith the goal of balancing workloads, let\\u2019s look at a couple examples:\\nDistributing workloads.\\nLet\\u2019s say you have five\\nservers\\n. Each server hosts an instance of your application.\\nOne scenario is that single server (instance) handles all the incoming requests, while the four other servers remain idle. Here, it\\u2019s easy for one server to get overwhelmed with traffic, taking a much longer time for that app to respond, often longer than the end user \\u2014 a person or an API, for example \\u2014 is willing to wait.\\nA better scenario, we can quickly see, is to use all five available servers. It\\u2019s the load balancing function that distributes the work across all five servers. Now you avoid overburdening any single server.\\nEnsuring uptime for apps & services.\\nThe distribution function of load balancers ensures normal operations. It also helps in events or incidents that require a response.\\nFor instance, if one of your five servers goes down, the load balancer can redistribute that fifth workload across the remaining four servers that are up.\\n(Uptime is critical to regular operations;\\nunplanned downtime can cost you significantly\\n.)\\nTypes of load balancing\\nWith the basic concepts clear, let\\u2019s look at some algorithms and strategies you can set for load balancers, determining which data should be sent where.\\nA variety of algorithms used for load balancing generally fall into two categories:\\nStatic load balancing\\nDynamic load balancing\\nStatic load balancing\\nStatic load balancing algorithms and strategies are based on the system state and fixed rules. These algorithms are sub-optimal and suitable for small data centers with predictable network traffic workloads.\\nThese algorithms may\\nnot\\nconverge to the best routing path for every single traffic request, but they do converge efficiently to an acceptable route and end-point server. (The optimal or best path is one that adheres to all constraints that the load balancing algorithm accounts for.)\\nIn practice, these constraints may have conflicting objectives. Some constraints may be relaxed, while others may be rigid or weighted based on external parameters. For a static load balancing algorithm, these parameters and system states are well defined \\u2014 prior knowledge of the system is therefore required.\\nStatic load balancing algorithms operate in a fixed range of server attributes and cannot adapt to network traffic and workload changes in real-time.\\nCommon examples of Static Load Balancing algorithms include Round Robin and IP Hash.\\nRound Robin algorithm\\nRound-robin load balancing is a simple scheme to distribute traffic requests among multiple servers. The load balancer assigns a request to each server in a round-robin fashion.\\nThere\\u2019s also a Weighted Round Robin scheme, where computing resources are ranked based on the available capacity. Instead of distributing user requests evenly, servers with higher (weighted) capacity are assigned more requests.\\nIP Hash algorithm\\nThis scheme produces a fixed-length hash value by converting source and destination\\nIP addresses\\n. The hash value assigns a routing path \\u2014 multiple path combinations can have the same output.\\nThis information serves as a compressed mapping between the user request and the destination servers. Here, algorithms such as Weighted Round-Robin can be used to select a route to forward packets.\\nDynamic Load Balancing\\nNow let\\u2019s turn to load balancing that is dynamic.\\nDynamic Load Balancing algorithms and strategies account for network capabilities at the nodes and network traffic workloads in real-time. The algorithm acquires, in real time, knowledge of:\\nServer states\\nRun-time properties\\nNetwork traffic\\nThese algorithms are typically complex and resource-intensive but the tradeoff here is that you\\u2019re getting produce optimal load balancing routes.\\nLarge private cloud data centers and public cloud networks\\ntypically rely on dynamic load balancing to optimize, distribute and scale resources for highly unpredictable network traffic workloads.\\nLeast Connections and Least Response are two common algorithms for dynamic load balancing.\\nLeast connections algorithm\\nThis scheme actively monitors each server for the number of connections established with an end-user. The algorithm has effectively two steps:\\nRanking all servers in real-time based on the number of connections established.\\nAssigning a new network connection to the server with least occupied connections.\\nAnother\\nvariant\\nof this algorithm ranks servers with a weighted scheme based on server capacity. The number of traffic requests routed to servers in a list ranked based on the least-connection algorithms depends on this weight, instead of simply following the number of connections established.\\nLeast response time algorithm\\nIn this algorithm, efficient alternative monitors the real-time response time for all active servers. The response time includes the duration of opening a new connection and sending a response.\\nRegardless of the number of connections established or server capacity, some servers may perform faster due to:\\nThe nature of user requests\\nExternal parameters such as data transfer volume and geo-location\\nComputation power\\nEnergy requirements\\nThis algorithm may be combined by Resource based methods that primarily account for compute capacity available among servers in real-time.\\nAdvanced weighted least connections algorithm\\nAdvanced implementations of the Weighted Least Connections algorithm provide flexible, real-time configurability through Application Layer telemetry tools (operating at Layer 7 of the OSI model) or integration within SD-WAN platforms.\\nIn this approach, individual servers are assigned weights based on their relative capacity, performance, and limitations. Performance metrics are measured in real-time, and the load balancer calculates a quantitative score for each server to determine traffic routing. A common scoring formula is:\\nScore = (Current Active Connections \\/ Assigned Weight)\\nServers with the lowest scores are prioritized, ensuring traffic is directed to the best-performing servers within the site. This dynamic scoring allows for more granular and efficient load distribution, adapting to real-time server conditions and improving overall application responsiveness.\\nChoosing load balancing for your data center\\nSo, how to choose a load balancing scheme for your data center? Let\\u2019s review some of the important considerations for choosing load balancing schemes and algorithms:\\nGeolocation\\nA load balancing algorithm must account for a variety of network environment factors for ranking and selecting node sequence for a route path. Nodes that are located within the same data center are subject to similar run-time attributes.\\nThese parameters can vary unpredictably and cause unexpected\\nlatency\\nbetween nodes that are distant and geographically disparate locations.\\n(Related reading:\\nGSLB: global server load balancing\\n&\\navailability zones for global data centers\\n.)\\nComplexity, compute & storage\\nNetwork nodes and features (including all decision criteria, such as server metrics, network environment parameters, user and request profiles) can grow exponentially in a highly scalable network. The compute and storage requirement can also grow exponentially with the scaling network.\\nThis is where a simple static load balancing algorithm can outperform a complex dynamic load balancing algorithm. The complexity of a load balancing algorithm is also measured in terms of its implementation and operation.\\nDependability\\nCloud networks process millions of concurrent user requests. Therefore, they require a load balancing algorithm that can route optimally (and efficiently) in real-time.\\nSimple load balancing algorithms with minimal storage requirements and no single-point of failure are therefore suitable for complex networks \\u2013 both for static and dynamic load balancing use cases.\\nAutonomous load balancing & future outlook\\nLoad balancing is a data-driven problem that is now increasingly solved by autonomous\\nagent-based\\ndynamic load balancing schemes that rely on advanced AI models:\\nDistributed network agents form a cooperative network of data sources, preprocess the data before running through the AI models.\\nA chosen dynamic load balancing scheme then selects the route, reaching a system state where all constraints are sufficiently met.\\nThe next wave of load balancing paradigms aim for application awareness within multi-cloud environments.\\nLimiting factors\\nOne of the key limitations for the effectiveness of advanced AI-based algorithms is the visibility and control into third-party cloud environments. Limited real-time visibility means that users have limited feature-rich information to train their AI models. An AI model that is not trained by sufficient\\nhigh quality data\\ncan be outperformed by a simple alternative \\u2013 including static load balancing algorithms \\u2013 that rely on fixed metrics thresholds.\\nThe key limitation of the simple alternatives is the lack of flexibility, which is a key criterion for\\nhighly scalable\\ndata center environments.\\n\\/en_us\\/blog\\/fragments\\/disclaimer-with-divider\\n\\/en_us\\/blog\\/fragments\\/the-hidden-costs-of-downtime\\nStyle\\ntwo-column\\nTitle\\nRelated Articles\\nFilter\\nCategory\\nBlog Limit\\n3\\nCategory\\nlearn\\nSort Category Shuffle Order\\ntrue\\nRelated Articles\\nLearn\\n9 Minute Read\\nWhat is Identity Access Management?\\nLearn what Identity and Access Management (IAM) is, why it matters, key components like SSO and MFA, AI integration, and best practices for secure access.\\nLearn\\n6 Minute Read\\nRisk-Based Vulnerability Management (RBVM) Explained\\nManaging vulnerabilities is a critical security practice. Learn about the RBVM approach: using risk factors to inform vulnerability management.\\nLearn\\n6 Minute Read\\nYour 2026 IT and Technology Salary Guide: Tech Trends Driving the Year\\u2019s Highest-Paying Jobs\\nThis blog post will review, roundup, and summarize some of the latest trends for IT salaries and roles to help you get a clear view of the landscape.\\nLearn\\n5 Minute Read\\nAre You Prepared for Data Breaches? How to Limit Exposure & Reduce Impact\\nData breaches can happen in many ways \\u2014 ransomware, phishing, accidental exposure \\u2014 but one thing is clear: our data is being breached all the time.\\nLearn\\n4 Minute Read\\nZero-Day Attacks: Meaning, Examples, and Modern Defense Strategies\\nNothing described with \\u201czero\\u201d sounds good. That\\u2019s absolutely the case here, when it comes to zero-day vulnerabilities, exploits and attacks.\\nLearn\\n4 Minute Read\\nAI Infrastructure Explained: How to Build Scalable LLM and ML Systems\\nDiscover what AI infrastructure is, why it matters, and how compute, storage, networking, ML frameworks, and observability work together to enable scalable, high-performance AI systems.\\nLearn\\n7 Minute Read\\nHow to Use LLMs for Log File Analysis: Examples, Workflows, and Best Practices\\nLearn how to use LLMs for log file analysis, from parsing unstructured logs to detecting anomalies, summarizing incidents, and accelerating root cause analysis.\\nLearn\\n5 Minute Read\\nBeyond Deepfakes: Why Digital Provenance is Critical Now\\nCombat AI misinformation with digital provenance. Learn how this essential concept tracks digital asset lifecycles, ensuring content authenticity.\\nLearn\\n5 Minute Read\\nThe Best IT\\/Tech Conferences & Events of 2026\\nDiscover the top IT and tech conferences of 2026! Network, learn about the latest trends, and connect with industry leaders at must-attend events worldwide.\\n1\\n2\\n3\\n...\\n83\\nNext\\n\\/en_us\\/blog\\/fragments\\/about-splunk\\n\\/en_us\\/blog\\/fragments\\/subscribe-footer\\n\"}"
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}                        
Log ID: 1325971 Text ID: 241718 Status: 1 Cost: 0.05 Date: 2026-01-14 07:22:08
{
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            "prompt_content": "Summarize in English as a bullet-point list with simple words all the information and numerical data provided to you.",
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        },
        "content": "{\"data\":\"Choosing the Right Load Balancing Approach for Your Network: Static, Dynamic, &#x26; Advanced Techniques\\nLoad Balancing is the process of distributing\\nnetwork traffic\\namong multiple server resources. The objective of load balancing is to optimize certain\\nnetwork operations\\n.\\nEnsuring that a workload is spread evenly among the computing resources, this \\u201cbalanced load\\u201d improves application responsiveness and accommodates unexpected traffic spikes \\u2014 all\\nwithout\\ncompromising application performance.\\nLet\\u2019s take a deeper look at this important networking function.\\nWhat is a load balancer?\\nA load balancer is a device that automatically distributes network traffic across a cluster of servers. A load balancer could be either an actual\\nhardware device\\nor a\\nsoftware application\\nthat runs on other networking hardware.\\nLoad balancing is an important component in\\nfault tolerant systems\\n. In terms of network operations, load balancing helps to optimize:\\nResource utilization\\nApplication performance\\nAvailability\\nService dependability\\nGenerally, this cluster of servers is likely housed in the same\\ndata center\\n. However, with more companies moving workloads to the cloud, load balancers can also balance traffic across multiple data centers.\\n(Related reading:\\ndistributed systems\\n&\\ndistributed tracing\\n.)\\nHow load balancing works\\nLoad balancers can operate on different\\nnetwork OSI layers\\ndepending on how you want to filter traffic and make decisions about how to filter it.\\nFor example, a load balancer could operate:\\nOn layer 4 by filtering traffic based on IP addresses\\nOn layer 7 by filtering based on HTTP header data\\nWith the goal of balancing workloads, let\\u2019s look at a couple examples:\\nDistributing workloads.\\nLet\\u2019s say you have five\\nservers\\n. Each server hosts an instance of your application.\\nOne scenario is that single server (instance) handles all the incoming requests, while the four other servers remain idle. Here, it\\u2019s easy for one server to get overwhelmed with traffic, taking a much longer time for that app to respond, often longer than the end user \\u2014 a person or an API, for example \\u2014 is willing to wait.\\nA better scenario, we can quickly see, is to use all five available servers. It\\u2019s the load balancing function that distributes the work across all five servers. Now you avoid overburdening any single server.\\nEnsuring uptime for apps & services.\\nThe distribution function of load balancers ensures normal operations. It also helps in events or incidents that require a response.\\nFor instance, if one of your five servers goes down, the load balancer can redistribute that fifth workload across the remaining four servers that are up.\\n(Uptime is critical to regular operations;\\nunplanned downtime can cost you significantly\\n.)\\nTypes of load balancing\\nWith the basic concepts clear, let\\u2019s look at some algorithms and strategies you can set for load balancers, determining which data should be sent where.\\nA variety of algorithms used for load balancing generally fall into two categories:\\nStatic load balancing\\nDynamic load balancing\\nStatic load balancing\\nStatic load balancing algorithms and strategies are based on the system state and fixed rules. These algorithms are sub-optimal and suitable for small data centers with predictable network traffic workloads.\\nThese algorithms may\\nnot\\nconverge to the best routing path for every single traffic request, but they do converge efficiently to an acceptable route and end-point server. (The optimal or best path is one that adheres to all constraints that the load balancing algorithm accounts for.)\\nIn practice, these constraints may have conflicting objectives. Some constraints may be relaxed, while others may be rigid or weighted based on external parameters. For a static load balancing algorithm, these parameters and system states are well defined \\u2014 prior knowledge of the system is therefore required.\\nStatic load balancing algorithms operate in a fixed range of server attributes and cannot adapt to network traffic and workload changes in real-time.\\nCommon examples of Static Load Balancing algorithms include Round Robin and IP Hash.\\nRound Robin algorithm\\nRound-robin load balancing is a simple scheme to distribute traffic requests among multiple servers. The load balancer assigns a request to each server in a round-robin fashion.\\nThere\\u2019s also a Weighted Round Robin scheme, where computing resources are ranked based on the available capacity. Instead of distributing user requests evenly, servers with higher (weighted) capacity are assigned more requests.\\nIP Hash algorithm\\nThis scheme produces a fixed-length hash value by converting source and destination\\nIP addresses\\n. The hash value assigns a routing path \\u2014 multiple path combinations can have the same output.\\nThis information serves as a compressed mapping between the user request and the destination servers. Here, algorithms such as Weighted Round-Robin can be used to select a route to forward packets.\\nDynamic Load Balancing\\nNow let\\u2019s turn to load balancing that is dynamic.\\nDynamic Load Balancing algorithms and strategies account for network capabilities at the nodes and network traffic workloads in real-time. The algorithm acquires, in real time, knowledge of:\\nServer states\\nRun-time properties\\nNetwork traffic\\nThese algorithms are typically complex and resource-intensive but the tradeoff here is that you\\u2019re getting produce optimal load balancing routes.\\nLarge private cloud data centers and public cloud networks\\ntypically rely on dynamic load balancing to optimize, distribute and scale resources for highly unpredictable network traffic workloads.\\nLeast Connections and Least Response are two common algorithms for dynamic load balancing.\\nLeast connections algorithm\\nThis scheme actively monitors each server for the number of connections established with an end-user. The algorithm has effectively two steps:\\nRanking all servers in real-time based on the number of connections established.\\nAssigning a new network connection to the server with least occupied connections.\\nAnother\\nvariant\\nof this algorithm ranks servers with a weighted scheme based on server capacity. The number of traffic requests routed to servers in a list ranked based on the least-connection algorithms depends on this weight, instead of simply following the number of connections established.\\nLeast response time algorithm\\nIn this algorithm, efficient alternative monitors the real-time response time for all active servers. The response time includes the duration of opening a new connection and sending a response.\\nRegardless of the number of connections established or server capacity, some servers may perform faster due to:\\nThe nature of user requests\\nExternal parameters such as data transfer volume and geo-location\\nComputation power\\nEnergy requirements\\nThis algorithm may be combined by Resource based methods that primarily account for compute capacity available among servers in real-time.\\nAdvanced weighted least connections algorithm\\nAdvanced implementations of the Weighted Least Connections algorithm provide flexible, real-time configurability through Application Layer telemetry tools (operating at Layer 7 of the OSI model) or integration within SD-WAN platforms.\\nIn this approach, individual servers are assigned weights based on their relative capacity, performance, and limitations. Performance metrics are measured in real-time, and the load balancer calculates a quantitative score for each server to determine traffic routing. A common scoring formula is:\\nScore = (Current Active Connections \\/ Assigned Weight)\\nServers with the lowest scores are prioritized, ensuring traffic is directed to the best-performing servers within the site. This dynamic scoring allows for more granular and efficient load distribution, adapting to real-time server conditions and improving overall application responsiveness.\\nChoosing load balancing for your data center\\nSo, how to choose a load balancing scheme for your data center? Let\\u2019s review some of the important considerations for choosing load balancing schemes and algorithms:\\nGeolocation\\nA load balancing algorithm must account for a variety of network environment factors for ranking and selecting node sequence for a route path. Nodes that are located within the same data center are subject to similar run-time attributes.\\nThese parameters can vary unpredictably and cause unexpected\\nlatency\\nbetween nodes that are distant and geographically disparate locations.\\n(Related reading:\\nGSLB: global server load balancing\\n&\\navailability zones for global data centers\\n.)\\nComplexity, compute & storage\\nNetwork nodes and features (including all decision criteria, such as server metrics, network environment parameters, user and request profiles) can grow exponentially in a highly scalable network. The compute and storage requirement can also grow exponentially with the scaling network.\\nThis is where a simple static load balancing algorithm can outperform a complex dynamic load balancing algorithm. The complexity of a load balancing algorithm is also measured in terms of its implementation and operation.\\nDependability\\nCloud networks process millions of concurrent user requests. Therefore, they require a load balancing algorithm that can route optimally (and efficiently) in real-time.\\nSimple load balancing algorithms with minimal storage requirements and no single-point of failure are therefore suitable for complex networks \\u2013 both for static and dynamic load balancing use cases.\\nAutonomous load balancing & future outlook\\nLoad balancing is a data-driven problem that is now increasingly solved by autonomous\\nagent-based\\ndynamic load balancing schemes that rely on advanced AI models:\\nDistributed network agents form a cooperative network of data sources, preprocess the data before running through the AI models.\\nA chosen dynamic load balancing scheme then selects the route, reaching a system state where all constraints are sufficiently met.\\nThe next wave of load balancing paradigms aim for application awareness within multi-cloud environments.\\nLimiting factors\\nOne of the key limitations for the effectiveness of advanced AI-based algorithms is the visibility and control into third-party cloud environments. Limited real-time visibility means that users have limited feature-rich information to train their AI models. An AI model that is not trained by sufficient\\nhigh quality data\\ncan be outperformed by a simple alternative \\u2013 including static load balancing algorithms \\u2013 that rely on fixed metrics thresholds.\\nThe key limitation of the simple alternatives is the lack of flexibility, which is a key criterion for\\nhighly scalable\\ndata center environments.\\n\\/en_us\\/blog\\/fragments\\/disclaimer-with-divider\\n\\/en_us\\/blog\\/fragments\\/the-hidden-costs-of-downtime\\nStyle\\ntwo-column\\nTitle\\nRelated Articles\\nFilter\\nCategory\\nBlog Limit\\n3\\nCategory\\nlearn\\nSort Category Shuffle Order\\ntrue\\nRelated Articles\\nLearn\\n9 Minute Read\\nWhat is Identity Access Management?\\nLearn what Identity and Access Management (IAM) is, why it matters, key components like SSO and MFA, AI integration, and best practices for secure access.\\nLearn\\n6 Minute Read\\nRisk-Based Vulnerability Management (RBVM) Explained\\nManaging vulnerabilities is a critical security practice. Learn about the RBVM approach: using risk factors to inform vulnerability management.\\nLearn\\n6 Minute Read\\nYour 2026 IT and Technology Salary Guide: Tech Trends Driving the Year\\u2019s Highest-Paying Jobs\\nThis blog post will review, roundup, and summarize some of the latest trends for IT salaries and roles to help you get a clear view of the landscape.\\nLearn\\n5 Minute Read\\nAre You Prepared for Data Breaches? How to Limit Exposure & Reduce Impact\\nData breaches can happen in many ways \\u2014 ransomware, phishing, accidental exposure \\u2014 but one thing is clear: our data is being breached all the time.\\nLearn\\n4 Minute Read\\nZero-Day Attacks: Meaning, Examples, and Modern Defense Strategies\\nNothing described with \\u201czero\\u201d sounds good. That\\u2019s absolutely the case here, when it comes to zero-day vulnerabilities, exploits and attacks.\\nLearn\\n4 Minute Read\\nAI Infrastructure Explained: How to Build Scalable LLM and ML Systems\\nDiscover what AI infrastructure is, why it matters, and how compute, storage, networking, ML frameworks, and observability work together to enable scalable, high-performance AI systems.\\nLearn\\n7 Minute Read\\nHow to Use LLMs for Log File Analysis: Examples, Workflows, and Best Practices\\nLearn how to use LLMs for log file analysis, from parsing unstructured logs to detecting anomalies, summarizing incidents, and accelerating root cause analysis.\\nLearn\\n5 Minute Read\\nBeyond Deepfakes: Why Digital Provenance is Critical Now\\nCombat AI misinformation with digital provenance. Learn how this essential concept tracks digital asset lifecycles, ensuring content authenticity.\\nLearn\\n5 Minute Read\\nThe Best IT\\/Tech Conferences & Events of 2026\\nDiscover the top IT and tech conferences of 2026! Network, learn about the latest trends, and connect with industry leaders at must-attend events worldwide.\\n1\\n2\\n3\\n...\\n83\\nNext\\n\\/en_us\\/blog\\/fragments\\/about-splunk\\n\\/en_us\\/blog\\/fragments\\/subscribe-footer\\n\"}"
    },
    "response": {
        "status": "ok",
        "response": [
            "Load balancing distributes network traffic across multiple servers to optimise network operations.",
            "It improves application responsiveness and handles traffic spikes without affecting performance.",
            "A load balancer can be hardware or software.",
            "Load balancing helps with resource use, application performance, availability and service dependability.",
            "Load balancers filter traffic based on IP addresses (Layer 4) or HTTP header data (Layer 7).",
            "Types of load balancing:",
            "\t-Static: Uses fixed rules, suitable for small data centres. Examples include Round Robin and IP Hash.",
            "\t\t-Round Robin: Distributes requests evenly or based on weighted capacity.",
            "\t\t-IP Hash: Uses IP addresses to assign a routing path.",
            "\t-Dynamic: Adapts to real-time network conditions, used in larger cloud networks. Examples include Least Connections and Least Response Time.",
            "\t\t-Least Connections: Assigns new connections to the server with the fewest connections.",
            "\t\t-Least Response Time: Monitors real-time response time for all active servers.",
            "\t-Advanced: Uses a weighted least connections algorithm, weights are assigned based on performance, capacity and limitations.",
            "Considerations for choosing a load balancing scheme:",
            "\t-Geolocation: Account for network environment factors that can affect latency.",
            "\t-Complexity, compute and storage: Static algorithms may outperform dynamic ones in scalable networks.",
            "\t-Dependability: Choose an algorithm that can route optimally and efficiently in real-time.",
            "Autonomous load balancing uses AI to select the route to ensure all constraints are sufficiently met.",
            "Visibility and control into third-party cloud environments is a limiting factor in AI-based algorithms."
        ]
    }
}                        
Log ID: 1325973 Text ID: 241718 Status: 0 Cost: 0.07 Date: 2026-01-14 07:22:12
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        "content": "{\"data\":\"Open menu\\nWebmail\\nNotifications\\nBack to menu\\nNo pending order\\nNo pending ticket\\nMy customer account\\nBack to menu\\nMy customer account\\nMy bills\\nMy products and services\\nMy payment methods\\nMy orders\\nMy contacts\\nMy support tickets\\nContact Sales\\nSupport\\nBack to menu\\nHelp center\\nSupport Levels\\nProfessional Services\\nCommunities\\nBack to menu\\nOVHcloud Community\\nOVHcloud Blog\\nEvents\\nLearn\\nBack to menu\\nDocumentation\\nTutorials\\nUse cases\\nDeveloper Centre\\nCompliance\\nCase Studies\\nVideos\\nStories\\nTraining\\nUnited Kingdom [\\u00a3]\\nBack to menu\\nEurope\\nDeutschland [\\u20ac]\\nEspa\\u00f1a [\\u20ac]\\nFrance [\\u20ac]\\nIreland [\\u20ac]\\nItalia [\\u20ac]\\nNederland [\\u20ac]\\nPolska [PLN]\\nPortugal [\\u20ac]\\nUnited Kingdom [\\u00a3]\\nAmerica\\nCanada (en) [$]\\nCanada (fr) [$]\\nUnited States [$]\\nAm\\u00e9rica Latina [$]\\nAfrica\\nMaroc [Dhs]\\nS\\u00e9n\\u00e9gal [FCFA]\\nTunisie [DT]\\nOceania\\nAustralia [A$]\\nAsia\\nSingapore [S$]\\nAsia [US$]\\nIndia [\\u20b9]\\nWorld\\nWorld [$]\\nWorld [\\u20ac]\\nOpen login menu\\nWelcome to OVHcloud.\\nLog in to order, manage your products and services, and track your orders.\\nMy customer account\\nWebmail\\nBare Metal & VPS\\nBack to menu\\nBare Metal & VPS\\nDedicated Servers\\nBack to menu\\nDedicated Servers\\nProducts\\nDiscover our dedicated servers\\nRise Servers\\nNew\\nThe most affordable bare-metal servers offered by OVHcloud.\\nAdvance Servers\\nNew\\nVersatile servers for small and medium businesses.\\nGame Servers\\nNew\\nFor video games and streaming platforms.\\nStorage Servers\\nServers for archiving, backup, and distributed storage.\\nScale Servers\\nNew\\nSpecifically designed for complex, high-resilience infrastructures.\\nHigh Grade Servers\\nThe most powerful servers, optimised for critical loads.\\nOperating systems and applications\\nOperating systems and applications adapted to your needs\\nDedicated server availability by region\\nThe availability of our servers in various regions around the world\\nBare Metal Wholesale\\nGet a full rack of Advance, Scale or High Grade servers.\\nUse Cases\\nAZ and resilience\\nGrid computing\\nSAP HANA\\nVirtualisation and containerisation\\nWebsite Business Application\\nHyperconverged Infrastructure\\nSoftware-defined Storage\\nBig Data and Analytics\\nArchiving and Backup\\nAI, Machine Learning & Deep Learning\\nConfidential Computing\\nDatabase\\nGaming\\nHigh Performance Computing\\nEco Dedicated Servers\\nBack to menu\\nEco Dedicated Servers\\nEco Dedicated Servers\\nExplore our Dedicated Servers\\nKimsufi Servers\\nLow-cost servers to get you started\\nSo you Start Servers\\nA range of dedicated servers that are perfect for startups and very small businesses\\nRise Servers\\nNew\\nTried-and-tested Intel and AMD platforms for competitive performance and price\\nOperating systems and distributions\\nFind the versions compatible with your Eco server\\nUse cases\\nWebsite and business application\\nEmail server\\nNew\\nData storage\\nNew\\nVirtual private servers \\u2013 VPS\\nBack to menu\\nVirtual private servers \\u2013 VPS\\nVirtual private servers \\u2013 VPS\\nVPS\\nNew\\nOur new VPS with maximum resources, the best prices, instant scalability, and reinforced security, available in all our regions.\\nDistributions and licences\\nSee all our distributions and licences available on VPS\\nOptions\\nCustomise your VPS with our advanced options\\nHelp\\nUse cases\\nAutomated workflows with n8n\\nNew\\nWordPress multisite platform\\nVideo game server\\nTest server with VPS\\nHosting trading applications on a Forex VPS\\nManaged Bare Metal\\nBack to menu\\nManaged Bare Metal\\nManaged Bare Metal\\nManaged Bare Metal Essentials powered by VMware\\u00ae\\nYour virtual infrastructure managed by OVHcloud\\nStorage and backups\\nBack to menu\\nStorage and backups\\nStorage and backup\\nExplore all our solutions\\nEnterprise File Storage\\nFully managed file storage based on NetApp ONTAP Select\\nHA-NAS\\nCentralised storage or backup space for your file data\\nCloud Disk Array\\nA scalable storage solution based on CEPH technology\\nVeeam Enterprise Plus\\nThe ultimate solution for protecting your data in a way that fits your needs\\nHYCU for OVHcloud\\nSimplify the backup and migration of your Nutanix workloads\\nUse cases\\nData storage for your Linux servers\\nData storage for your virtual machines\\nNetwork\\nBack to menu\\nNetwork\\nNetwork\\nAdditional IP\\nAssign and move dynamic IP addresses from one service to another\\nOVHcloud Load Balancer\\nBalance your application load across multiple backend servers\\nPrivate Network (vRack)\\nConnect all your OVHcloud services together with an isolated private network\\nOVHcloud Link Aggregation\\nGet a redundant, high-bandwith private network\\nOVHcloud Connect\\nConnect your datacentre to OVHcloud\\nPublic Bandwith\\nUpgrade your default guaranteed bandwidth\\nCDN Infrastructure\\nA dedicated CDN to complement your OVHcloud products\\nBring Your Own IP (BYOIP)\\nBring your IP addresses and simplify your migration to OVHcloud\\nNetwork Security\\nBack to menu\\nNetwork Security\\nNetwork Security\\nAnti DDoS infrastructure\\nKeep your infrastructures protected against DDoS attacks\\nGame DDoS Protection\\nProtect your gaming and e-sport business with best-in-class security solution\\nDNSSEC\\nProtect your data from DNS cache poisoning\\nSSL Gateway\\nSimplest way to enable security on your webpage. Without any effort!\\nIdentity, Security & Operations\\nBack to menu\\nIdentity, Security & Operations\\nIdentity, Security & Operations\\nIdentity and Access Management (IAM)\\nSecure your access management and enhance your productivity\\nLogs Data Platform\\nComplete platform to collect, store and view your logs\\nKey Management Service (KMS)\\nSecure your data across all your OVHcloud services from one central place\\nSecret Manager\\nProfessionally manage of all your secrets in one place\\nService Logs\\nMonitor your cloud environment\\u2019s performance and security\\nBare Metal Pod\\nBack to menu\\nBare Metal Pod\\nBare Metal Pod\\nSecNumCloud-qualified Bare Metal Pod\\nBare Metal performance in a SecNumCloud compliant sovereign environment.\\nUse Cases\\nData sovereignty\\nSecNumCloud-qualified solutions\\nDomain Hosting Email\\nBack to menu\\nDomain Hosting Email\\nDomain name\\nBack to menu\\nDomain name\\nDomain name\\nSearch for your domain name\\nTransfer your domain name to OVHcloud\\nRenew your domain name\\nSearch the secondary market (aftermarket)\\nQuick access\\nDomain name prices\\nWHOIS - Search for domain information\\nDNS server\\nSpecial offers\\nNew\\nWeb Hosting\\nBack to menu\\nWeb Hosting\\nWeb Hosting\\nAll Web packs\\nAdditional databases\\nSSL option\\nCDN option\\nQuick access\\nHow do I create a website?\\nHost your WordPress website\\nCreate your website in 1 click\\nCreate your online store\\nEmail & collaborative solutions\\nBack to menu\\nEmail & collaborative solutions\\nEmail & collaborative solutions\\nAll Email plans\\nAll Exchange plans\\nOffice 365 licences\\nSMS\\nBack to menu\\nSMS\\nSMS\\nSend your Pro text messages\\nPublic Cloud\\nBack to menu\\nPublic Cloud\\nPublic Cloud\\nBack to menu\\nPublic Cloud\\nPublic Cloud\\nDiscover Public Cloud\\nService ecosystem\\nAutomate your setup, propel your business\\nPricing\\nView our simple, accessible pricing\\nPublic Cloud free trial\\nTry out our solutions at no cost\\nSavings Plans\\nNew\\nOpt for a 1 to 36 month subscription and save on your Public Cloud resources.\\nThe advantages of the Public Cloud solution\\nDiscover cloud computing solutions to meet your needs\\nCloud Computing\\nFind out more about this growing practice\\nCertification & compliance\\nExplore how OVHcloud builds trusted solutions\\nTrusted Zones\\nDeploy your critical data in high-security zones\\nAvailability by region\\nExplore our catalogue coverage by region\\nLocal Zones\\nNew\\nDeploy cloud services closer to your users\\nOur documentation\\nRead our guides and tutorials\\nCompute\\nBack to menu\\nCompute\\nCompute\\nExplore all our Compute products\\nVirtual Machine Instances\\nGet versatile instances that can be adapted to suit all your needs.\\nCloud GPU\\nSpeed up your workloads with high-performance GPU instances.\\nMetal Instances\\nCombine the power of Bare Metal with cloud automation\\nOur documentation\\nBrowse our documentation for the Compute range\\nEn route to PaaS\\nFocus on your applications & become more competitive\\nLocal Zone\\nNew\\nDeploy cloud services closer to your users\\nStorage\\nBack to menu\\nStorage\\nStorage\\nExplore all our Storage products\\nBlock Storage\\nCreate storage volumes, which can be used as additional disks\\nObject Storage\\nGet S3-compatible unlimited storage on demand\\nCold Archive\\nHighly economical archiving for infrequently accessed data.\\nLocal Zone\\nNew\\nDeploy cloud services closer to your users\\nOur documentation\\nBrowse our documentation for the Storage range\\nNetwork\\nBack to menu\\nNetwork\\nNetwork\\nExplore all our Network products\\nPrivate Network\\nDeploy private networks via the OVHcloud vRack\\nLoad Balancer\\nManage variable traffic by spreading it across multiple resources\\nFloating IP\\nAssign and move your public IP from one service to another\\nGateway\\nManage a single connection point between your private network & internet\\nOur documentation\\nView our documentation for the Network range\\nContainers & Orchestration\\nBack to menu\\nContainers & Orchestration\\nContainers & Orchestration\\nExplore all our Containers & Orchestration products\\nManaged Kubernetes Service\\nOrchestrate your containerised applications with a CNCF-certified Kubernetes cluster\\nLoad Balancer for Managed Kubernetes Service\\nManage variations in activity by distributing traffic across multiple resources\\nManaged Rancher Service\\nNew\\nSimplified and centralised management of your Kubernetes clusters\\nManaged Private Registry\\nManage your images of containers and helmchart on a secure private registry\\nOur documentation\\nView our documentation for the Containers & Orchestration range\\nEn route to PaaS\\nFocus on your applications & become more competitive\\nDatabases\\nBack to menu\\nDatabases\\nDatabases\\nExplore all our Databases products\\nMongoDB\\nDocument-oriented NoSQL engine. Try for free with Free Tier\\nMySQL\\nPopular relational database that adapts to your usage\\nPostgreSQL\\nThe top open-source relational database engine\\nValkey\\nSmart in-memory storage\\nOur Documentation\\nView our documentation for the Databases range\\nEn route to PaaS\\nFocus on your applications & become more competitive\\nAnalytics\\nBack to menu\\nAnalytics\\nAnalytics\\nExplore all our Analytics products\\nKafka\\nQueueing solution for deploying your event-driven architectures\\nKafka Connect\\nExtension simplifying the ingestion of your sources to Apache Kafka\\nKafka MirrorMaker\\nReplication ensuring high availability for your Kafka clusters\\nLogs Data Platform\\nComplete platform to collect, store and view your logs\\nOpenSearch\\nA dedicated engine for indexing, searching and analyzing data\\nClickHouse\\nNew\\nUltra-fast data analysis at your fingertips\\nManaged Dashboards\\nGrafana platform for creating dashboards\\nOur documentation\\nView our documentation for the Analytics range\\nEn route to PaaS\\nFocus on your applications & become more competitive\\nData Platform\\nNew\\nBack to menu\\nData Platform\\nData Platform\\nBrowse all our Data Platform products\\nDiscover the OVHcloud Data Platform\\nNew\\nCarry out your Data & Analytics projects in record time and with ease\\nData Catalog\\nNew\\nMore than 50 connectors for all your data sources\\nLakehouse Manager\\nNew\\nUnified data warehouse and data lake storage, based on Apache Iceberg\\nData Processing Engine\\nNew\\nAutomate the execution and orchestration of your ETL\\/ELT workloads\\nAnalytics Manager\\nNew\\nCreate your dashboards and launch your requests with the Trino engine\\nApplication Services\\nNew\\nSDK and serverless services to deploy your APIs and Data applications\\nControl Center\\nNew\\nMonitor metrics, manage logs and alerts for your environments\\nAI & Machine Learning\\nBack to menu\\nAI & Machine Learning\\nAI & Machine Learning\\nExplore all our AI & Machine learning products\\nAI & Quantum Notebooks\\nLaunch your Jupyter or VS Code notebooks in the cloud, and choose from our native AI or quantum frameworks\\nAI Training\\nTrain your AI models\\nAI Deploy\\nDeploy machine learning models & get your predictions\\nAI Endpoints\\nNew\\nIntegrate generative AI models into your applications easily and securely via standard APIs.\\nOur documentation\\nBrowse our documentation for the AI & Machine Learning range\\nEn route to PaaS\\nFocus on your applications & become more competitive\\nQuantum Computing\\nBack to menu\\nQuantum Computing\\nQuantum Computing\\nExplore all our Quantum Computing products\\nQuantum Emulators\\nNew\\nSimulate your quantum algorithms on ready-to-use notebooks\\nQuantum Processing Units (QPU)\\nNew\\nAccess real quantum computers through our Quantum Platform\\nWhat is Quantum computing?\\nLearn more about the next accelerated computing revolution and how to develop today\\u2019s solutions with tomorrow\\u2019s quantum computers\\nIdentity, Security & Operations\\nBack to menu\\nIdentity, Security & Operations\\nIdentity, Security & Operations\\nDiscover all our Identity, Security & Operations products\\nIdentity and Access Management (IAM)\\nSecure your access management and improve your productivity\\nLogs Data Platform\\nComplete platform to collect, store and view your logs\\nKey Management Service (KMS)\\nSecure your data across all your OVHcloud services from one place\\nSecret Manager\\nProfessionally manage of all your secrets in one place\\nServices Logs\\nMonitor the performance and security of your cloud environment\\nHosted Private Cloud\\nBack to menu\\nHosted Private Cloud\\nVMware\\nBack to menu\\nVMware\\nVMware on OVHcloud\\nDiscover VMware on OVHcloud\\nPublic VCF as a Service\\nNew\\nShared and managed VMware solution, powered by VMware Cloud Foundation\\nManaged VMware vSphere solutions\\nManaged VMware solution for all enterprises\\nSecNumCloud-qualified Managed VMware vSphere\\nANSSI-qualified VMware Trusted Zone solution\\nSolutions\\nCompare VMware solutions\\nSAP on OVHcloud\\nDatacentre extension and migration\\nHybrid and Multi-Cloud Solutions\\nDisaster recovery solutions\\nEuropean Trusted Zone Solutions\\nView all solutions\\nNutanix\\nBack to menu\\nNutanix\\nHosted Private Cloud\\nNC2 on OVHcloud\\nNew\\nNutanix Cloud Clusters (NC2) on OVHcloud\\nNutanix on OVHcloud\\nOur scalable, ready-to-use Nutanix hyperconverged platform (HCI)\\nSecNumCloud-qualified Bare Metal Pod\\nNew\\nNutanix-certified servers available in SecNumCloud-qualified Bare Metal Pod\\nHYCU for OVHcloud\\nSimplify the backup and migration of your Nutanix workloads\\nVeeam Enterprise for all your backups\\nA dedicated Veeam Backup Replication solution for all your backups\\nUse cases\\nMigrate and manage your data\\nDisaster Recovery Plan (DRP)\\nHyperconvergence, savings and ecology\\nDisaster Recovery (DRaaS)\\nSAP HANA\\nBack to menu\\nSAP HANA\\nSAP HANA\\nSAP HANA on Private Cloud\\nThe solution that facilitates your SAP deployments in a sovereign cloud\\nSolutions\\nSAP on OVHcloud\\nOn-Prem Cloud Platform\\nBack to menu\\nOn-Prem Cloud Platform\\nOn-Prem Cloud Platform\\nOn-Prem Cloud Platform (OPCP)\\nOPCP enables you to deploy your services on-premises or at the edge, with complete autonomy and security. Air-gapped by design.\\nInfra as a Service\\nCore infrastructure to build and operate your on-premises cloud\\nPlatform as a Service\\nCloud-native environments and ready-to-use services\\nCloud ready\\nLanding Zone to deploy and manage workloads easily\\nStorage & Backup\\nBack to menu\\nStorage & Backup\\nStorage and backup\\nDiscover all the storage solutions\\nVeeam option for VMware backup\\nThe Veeam Managed Backup solution for backing up your virtual machines\\nZerto option for your VMware Disaster Recovery Plan\\nMulti-site Disaster Recovery Plan solution for your VMware clusters\\nVeeam option for Public VCF as a Service\\nA dedicated Veeam Backup Replication solution for all your backups\\nVeeam Enterprise - Licences\\nA dedicated Veeam Backup Replication solution for all your backups\\nHYCU for OVHcloud\\nSimplify the backup and migration of your Nutanix workloads\\nObject Storage\\nGet S3-compatible unlimited storage on demand\\nCold Archive\\nGet long-term archiving at the best price\\nNetApp - Enterprise File Storage\\nFully managed file storage based on NetApp ONTAP Select\\nUse cases\\nBackup and Disaster Recovery\\nBusiness continuity\\nDisaster Recovery for Managed VMware vSphere\\nDisaster Recovery for Nutanix on OVHcloud\\nNetwork\\nBack to menu\\nNetwork\\nNetwork\\nAdditional IP\\nAssign and move dynamic IP addresses from one service to another\\nOVHcloud Load Balancer\\nBalance your application load across multiple backend servers\\nPrivate Network (vRack)\\nConnect all your OVHcloud services together with an isolated private network\\nOVHcloud Connect\\nConnect your datacentre to OVHcloud\\nCDN Infrastructure\\nA dedicated CDN to complement your OVHcloud products\\nBring Your Own IP (BYOIP)\\nBring your IP addresses and simplify your migration to OVHcloud\\nNetwork Security\\nBack to menu\\nNetwork Security\\nNetwork Security\\nAnti-DDoS infrastructure\\nKeep your infrastructures protected against DDoS attacks\\nDNSSEC\\nProtect your data from DNS cache poisoning\\nSSL Gateway\\nSimplest way to enable security on your webpage. Without any effort!\\nIdentity, Security & Operations\\nBack to menu\\nIdentity, Security & Operations\\nIdentity, Security & Operations\\nIdentity and Access Management (IAM)\\nSecure your access management and enhance your productivity\\nLogs Data Platform\\nComplete platform to collect, store and view your logs\\nKey Management Service (KMS)\\nSecure your data across all your OVHcloud services from one central place\\nSecret Manager\\nProfessionally manage of all your secrets in one place\\nService Logs\\nMonitor your cloud environment\\u2019s performance and security\\nCompliance and certifications\\nBack to menu\\nCompliance and certifications\\nCompliance and certifications\\nFull list of standards and regulations\\nGDPR\\nCompliance with the General Data Protection Regulation (EU) 2016\\/679\\nSecNumCloud\\nANSSI Security Visa Qualification\\nHDS and healthcare data hosting\\nHosting healthcare data in the UK and across Europe\\nHIPAA and HITECH\\nHosting healthcare data in the US\\nPCI DSS\\nFinancial data hosting\\nISO\\/IEC 27001, 27017 and 27018\\nInformation Security Management\\nISO\\/IEC 27701\\nManaging the security of personal data processing\\nISO 14001\\nManaging environmental impacts\\nISO 50001\\nEnergy management\\nSOC 1, 2 and 3\\nAICPA SSAE 16\\/ISAE 3402 type II attestation and reports\\nEBA and ACPR\\nCompliance for financial services operators in Europe\\nG-Cloud\\nPublic sector cloud service delivery in the UK\\nSolutions\\nBack to menu\\nSolutions\\nUse Cases\\nBack to menu\\nUse Cases\\nUse Cases\\nMigrate to the cloud\\nHybrid cloud & Multi Cloud\\nApp Modernization\\nCloud Native App\\nArtificial Intelligence\\nBig Data Analytics\\nData Management\\nHigh-Performance Workloads\\nLarge Data set storage\\nGrid Computing\\nMove to PaaS\\nBackup and disaster recovery\\nBusiness Continuity\\nTrusted Zone\\nSecNumCloud Environment\\nNetwork Protection\\nCloud Security\\nExtension & Migration Datacenter\\nDatacenter transformation\\nElevate your brand reputation\\nPrioritise financial stability\\nProtect your business against cyberthreats\\nIndustry\\nBack to menu\\nIndustry\\nIndustry\\nPublic Sector\\nA trusted solution for governments and authorities\\nHealthcare\\nThe trusted solution for the healthcare sector\\nFinancial Service\\nOur solutions for financial services operators\\nManufacturing\\nThe trusted cloud solution for European manufacturers\\nSoftware\\/Information Technology\\nSaaS and PaaS solutions from OVHcloud Partner Software Publishers\\nGaming\\nCloud solutions for companies and individuals in the gaming industry\\nBlockchain\\nFree up your blockchain projects with OVHcloud solutions\\nOrganisation Type\\nBack to menu\\nOrganisation Type\\nOrganisation Type\\nEnterprise\\nSolutions for enterprise-level digital transformation\\nSoftware publishers (SaaS\\/PaaS)\\nSaaS and PaaS solutions from OVHcloud Partner Software Publishers\\nSystem Integrator\\nSolutions for integrators, service providers and consulting firms\\nGovernment \\/ Administrations\\nTrusted solutions for governments and authorities\\nStartup\\nSupport solutions for start-ups\\nScaleup\\nSupport solutions for scale-ups\\nTechnology\\nBack to menu\\nTechnology\\nTechnology\\nVeeam\\nProtect your data with Veeam solutions offered by OVHcloud\\nVMware by Broadcom\\nVMware by Broadcom and OVHcloud solutions for all your projects\\nNutanix\\nAccelerate and simplify your hybrid multicloud journey with Nutanix on OVHcloud solution\\nHYCU\\nThe backup solution trusted by Nutanix users\\nSAP\\nOur SAP on OVHcloud solutions for SAP environments hosting in a sovereign cloud\\nNetApp\\nNetApp storage solutions with cost control and high performance\\nNvidia\\nNvidia GPU solutions for accelerating your innovation and AI projects\\nMongoDB\\nMongoDB solutions that simplify data management\\nOpenStack\\nOpenStack solutions integrated with OVHcloud for cloud infrastructure\\nIntel\\nExpert solutions powered by Intel\\u00ae Xeon\\u00ae that accelerate cloud processes\\nAMD\\nTop-of-the-line cloud solutions powered by AMD processors\\nHadoop Cloudera\\nYour 100% managed Cloudera solution with Claranet\\nEcosystem\\nBack to menu\\nEcosystem\\nEcosystem\\nDiscover the OVHcloud partner ecosystem\\nPartner Program\\nAn initiative dedicated to our reseller partners, integrators, administrators and consultants.\\nOpen Trusted Cloud\\nAn ecosystem of labelled SaaS and PaaS solutions, hosted in our open, reversible and reliable cloud\\nStartup Program\\nA support program for startups and scaleups to accelerate their growth\\nOVHcloud Labs\\nThe innovation zone to test our cutting-edge technologies before they are officially launched on the market\\nOur Ecosystem events\\nFind all the events dedicated to our partner ecosystem: webinars, conferences, and more\\nOVHcloud Ecosystem Awards\\nDiscover our OVHcloud Ecosystem awards that rewards our ecosystem leaders of the Year per category\\nTraining & Certification\\nDevelop your expertise with the training and certifications available to OVHcloud Partner Program members.\\nQuick Access\\nFind a partner\\nSign up to the OVHcloud Partner Program\\nSign up to the OVHcloud Startup Program\\nPrice comparison\\nPartner Portal\\nFAQ Partner Program\\nAbout\\nBack to menu\\nAbout\\nAbout\\nWho we are\\nNewsroom\\nGlobal infrastructure\\nOur datacenters\\nOur Local Zones\\nBackbone network\\nJoin the OVHcloud adventure\\nPatent Pledge\\nLegal\\nGDPR - Personal data protection\\nOur commitments\\nInnovation\\nSustainable cloud\\nTrusted cloud\\nInvestor Relations\\nEnvironmental Impact Tracker\\nSummit\\nOpen search bar\\nClose search bar\\nNo result\\nProducts\\nSolutions\\nPartners\\nDocumentation\\nArticles\\nSee all results\\nWhat is Load Balancing?\\nLearning Centre\\nWhat is Load Balancing?\\nLoad balancing is an important concept in IT infrastructure management, particularly for applications hosted on multiple servers or in cloud environments.\\nAs demand for online solutions grows, load balancing is becoming increasingly essential, particularly for cloud computing, cloud native and therefore containerised applications such as Kubernetes. This article will explain the definition, features and benefits of load balancing, highlighting their relevance in today's digital world.\\nLoad balancing definition\\nLoad balancing is the process of distributing workloads and network traffic across multiple servers. This process maximizes resource usage, reduces response times, and avoids overloading a single server. It plays an important role in maintaining the performance and stability of servers, databases, and applications.\\nA load balancer acts as an intermediary between client devices and back-end servers, ensuring that requests are directed to the most appropriate server. This prevents some servers from remaining idle while others are overloaded, helping to ensure optimal resource usage.\\nHow does load balancing work?\\nLoad balancing works by analyzing incoming requests and routing them based on specific policies or algorithms. Traffic is then distributed according to different criteria:\\nRound Robin\\n: requests are sent sequentially to each server in turn.\\n\\u00a0\\nLeast Connections\\n: Requests are directed to the server with the fewest active connections.\\n\\u00a0\\nHash\\nIP: Requests are routed according to the client's IP address to ensure session persistence.\\n\\u00a0\\nWeighted\\nRound Robin: Servers with higher capacity receive more requests.\\nFor more advanced configurations, load balancers can also perform health checks on the servers. These checks ensure that they are responsive and healthy before directing traffic to them, adding a layer of reliability.\\nLoad balancer definition\\nA load balancer is a physical or virtual device that distributes network traffic and workloads across multiple servers. This can be a hardware device, software application, or cloud service, with each being adapted to different environments and requirements.\\nLoad balancer types\\nThere are several types of load balancers, each of which meet different needs:\\nHardware\\nload balancers: Physical devices used in high-performance datacentres.\\n\\u00a0\\nLoad Balancers software\\n: software solutions installed on servers or containers, offering greater flexibility.\\n\\u00a0\\nCloud\\nLoad Balancers: Cloud solutions provided by cloud\\nsolution\\nproviders , offering scalability, ease of use, and reduced overheads for cloud load balancing.\\nLoad balancers with Kubernetes\\nLoad balancers with Kubernetes\\n, a container orchestration platform, are essential for managing traffic to services running within the cluster. This is then distributed transparently across a service\\u2019s pods to ensure better application outcomes and availability, even during scaling operations.\\nHow does a load balancer work?\\nA load balancer receives incoming requests and distributes them according to its configuration. The typical operation consists of:\\nClient\\nQuery Management - The Load Balancer receives requests from client devices.\\n\\u00a0\\nTraffic\\ndistribution: The load balancer distributes requests using a selected algorithm.\\n\\u00a0\\nHealth\\nCheck: The load balancer checks the health of the servers before routing requests.\\n\\u00a0\\nQuery routing and response\\n: The load balancer forwards the request to the chosen server, which processes it and sends the response back to the client.\\nImportance of algorithms\\nThe effectiveness of a load balancer depends largely on the algorithms used. Algorithms such as round-robin, least connections and IP hash ensure a balanced distribution of traffic and efficient use of servers. Advanced features such as SSL termination and session persistence further optimize traffic management.\\nCloud Load Balancer\\nCloud\\nload balancers\\nare designed to distribute incoming traffic in a balanced way across multiple servers, ensuring optimal workload distribution and enhancing application resilience and availability. Their flexibility comes from their ability to adapt quickly to traffic fluctuations and application scalability.\\nAdvantages and importance of a load balancer\\nImproved performance and scalability\\nBy distributing traffic, load balancers avoid bottlenecks and help you maintain high levels of performance. In cloud environments, they automatically adjust capacity for variations.\\nA reliable and available solution\\nIf one server goes down, the load balancer redirects traffic to healthy servers, ensuring uninterrupted service. This fault tolerance plays an important role in maintaining 24\\/7 availability for services offered by companies.\\nBetter resource optimization\\nLoad balancing ensures that no server is underutilized or overutilized, maximizing server efficiency and minimizing the risk of failures due to overload.\\nImproving security\\nLoad balancers hide the identity of back-end servers, which enhances security by preventing attackers from targeting individual servers. They can also support SSL processing, which reduces the load on back-end servers.\\nSimplified maintenance and management\\nWith a load balancer, server maintenance can be performed without causing downtime. The flow of information is redirected to other servers during maintenance, making the process transparent.\\nIntegration with cloud solutions\\nLoad balancers integrate seamlessly with cloud services, allowing companies to deploy more resilient and scalable applications. With their auto-scaling and optimization capabilities, they ensure smooth, high-performance management of workloads in the cloud.\\nOVHcloud and load balancing\\nLoad balancing is undoubtedly one of the key elements of modern IT infrastructure. It ensures efficient data flow distribution across multiple servers, with excellent availability and security results in both traditional datacentres and cloud environments.\\nWith advances in cloud computing and technologies like\\nKubernetes\\n, load balancing continues to evolve, offering sophisticated traffic management solutions. As companies increasingly adopt\\ncloud\\n-based architectures, its role remains central to maintaining high-quality, reliable digital services.\\nScale your workloads with our cloud solutions in any of our regions\\nOur Load Balancer balances the load between your OVHcloud services hosted in our regions. This service allows you to scale your infrastructure to handle high traffic, ensuring high availability and optimized response times for your customers.\\nLoad Balancer\\nBack to top\\nTools\\nMy customer account\\nWebmail\\nAPI\\nProcedure\\nMailing lists\\nStatus\\nWhois\\nDomain contact\\nReport abuse (abuse@ovh.net)\\nWHOIS information disclosure request\\nIntellectual property\\nTrademarks\\nSupport\\nHelp centre\\nGuides\\nLearning Centre\\nGlossary\\nCommunity\\nSupport levels\\nContact us\\nOVHcloud Customer Service\\nMonday to Friday, 9am to 6pm\\n+44333 370 0425\\nLocal call rate\\nNews\\nPress\\nBlog\\nSocial networks\\nKeep in touch\\n\\u00a9 Copyright 1999-2026 OVH SAS.\\nTerms & conditions\\nContracts\\nData protection\\nManage my cookies\\nRights and obligations of domain name holders\\nICANN documentation for domain name holders\\nPayments\\nSitemap\\nAbout OVHcloud\\nOVHcloud Careers\\nIn accordance with the 2006\\/112\\/CE Directive, modified on 01\\/01\\/2015, prices incl. VAT may vary according to the customer's country of residence\\n(by default, the prices displayed are inclusive of the UK VAT in force).\\n\"}"
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        "response": "false"
    }
}                        
Log ID: 1325976 Text ID: 241718 Status: 1 Cost: 0.09 Date: 2026-01-14 07:22:16
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needs\\nDedicated server availability by region\\nThe availability of our servers in various regions around the world\\nBare Metal Wholesale\\nGet a full rack of Advance, Scale or High Grade servers.\\nUse Cases\\nAZ and resilience\\nGrid computing\\nSAP HANA\\nVirtualisation and containerisation\\nWebsite Business Application\\nHyperconverged Infrastructure\\nSoftware-defined Storage\\nBig Data and Analytics\\nArchiving and Backup\\nAI, Machine Learning & Deep Learning\\nConfidential Computing\\nDatabase\\nGaming\\nHigh Performance Computing\\nEco Dedicated Servers\\nBack to menu\\nEco Dedicated Servers\\nEco Dedicated Servers\\nExplore our Dedicated Servers\\nKimsufi Servers\\nLow-cost servers to get you started\\nSo you Start Servers\\nA range of dedicated servers that are perfect for startups and very small businesses\\nRise Servers\\nNew\\nTried-and-tested Intel and AMD platforms for competitive performance and price\\nOperating systems and distributions\\nFind the versions compatible with your Eco server\\nUse cases\\nWebsite and business application\\nEmail server\\nNew\\nData storage\\nNew\\nVirtual private servers \\u2013 VPS\\nBack to menu\\nVirtual private servers \\u2013 VPS\\nVirtual private servers \\u2013 VPS\\nVPS\\nNew\\nOur new VPS with maximum resources, the best prices, instant scalability, and reinforced security, available in all our regions.\\nDistributions and licences\\nSee all our distributions and licences available on VPS\\nOptions\\nCustomise your VPS with our advanced options\\nHelp\\nUse cases\\nAutomated workflows with n8n\\nNew\\nWordPress multisite platform\\nVideo game server\\nTest server with VPS\\nHosting trading applications on a Forex VPS\\nManaged Bare Metal\\nBack to menu\\nManaged Bare Metal\\nManaged Bare Metal\\nManaged Bare Metal Essentials powered by VMware\\u00ae\\nYour virtual infrastructure managed by OVHcloud\\nStorage and backups\\nBack to menu\\nStorage and backups\\nStorage and backup\\nExplore all our solutions\\nEnterprise File Storage\\nFully managed file storage based on NetApp ONTAP Select\\nHA-NAS\\nCentralised storage or backup space for your file data\\nCloud Disk Array\\nA scalable storage solution based on CEPH technology\\nVeeam Enterprise Plus\\nThe ultimate solution for protecting your data in a way that fits your needs\\nHYCU for OVHcloud\\nSimplify the backup and migration of your Nutanix workloads\\nUse cases\\nData storage for your Linux servers\\nData storage for your virtual machines\\nNetwork\\nBack to menu\\nNetwork\\nNetwork\\nAdditional IP\\nAssign and move dynamic IP addresses from one service to another\\nOVHcloud Load Balancer\\nBalance your application load across multiple backend servers\\nPrivate Network (vRack)\\nConnect all your OVHcloud services together with an isolated private network\\nOVHcloud Link Aggregation\\nGet a redundant, high-bandwith private network\\nOVHcloud Connect\\nConnect your datacentre to OVHcloud\\nPublic Bandwith\\nUpgrade your default guaranteed bandwidth\\nCDN Infrastructure\\nA dedicated CDN to complement your OVHcloud products\\nBring Your Own IP (BYOIP)\\nBring your IP addresses and simplify your migration to OVHcloud\\nNetwork Security\\nBack to menu\\nNetwork Security\\nNetwork Security\\nAnti DDoS infrastructure\\nKeep your infrastructures protected against DDoS attacks\\nGame DDoS Protection\\nProtect your gaming and e-sport business with best-in-class security solution\\nDNSSEC\\nProtect your data from DNS cache poisoning\\nSSL Gateway\\nSimplest way to enable security on your webpage. Without any effort!\\nIdentity, Security & Operations\\nBack to menu\\nIdentity, Security & Operations\\nIdentity, Security & Operations\\nIdentity and Access Management (IAM)\\nSecure your access management and enhance your productivity\\nLogs Data Platform\\nComplete platform to collect, store and view your logs\\nKey Management Service (KMS)\\nSecure your data across all your OVHcloud services from one central place\\nSecret Manager\\nProfessionally manage of all your secrets in one place\\nService Logs\\nMonitor your cloud environment\\u2019s performance and security\\nBare Metal Pod\\nBack to menu\\nBare Metal Pod\\nBare Metal Pod\\nSecNumCloud-qualified Bare Metal Pod\\nBare Metal performance in a SecNumCloud compliant sovereign environment.\\nUse Cases\\nData sovereignty\\nSecNumCloud-qualified solutions\\nDomain Hosting Email\\nBack to menu\\nDomain Hosting Email\\nDomain name\\nBack to menu\\nDomain name\\nDomain name\\nSearch for your domain name\\nTransfer your domain name to OVHcloud\\nRenew your domain name\\nSearch the secondary market (aftermarket)\\nQuick access\\nDomain name prices\\nWHOIS - Search for domain information\\nDNS server\\nSpecial offers\\nNew\\nWeb Hosting\\nBack to menu\\nWeb Hosting\\nWeb Hosting\\nAll Web packs\\nAdditional databases\\nSSL option\\nCDN option\\nQuick access\\nHow do I create a website?\\nHost your WordPress website\\nCreate your website in 1 click\\nCreate your online store\\nEmail & collaborative solutions\\nBack to menu\\nEmail & collaborative solutions\\nEmail & collaborative solutions\\nAll Email plans\\nAll Exchange plans\\nOffice 365 licences\\nSMS\\nBack to menu\\nSMS\\nSMS\\nSend your Pro text messages\\nPublic Cloud\\nBack to menu\\nPublic Cloud\\nPublic Cloud\\nBack to menu\\nPublic Cloud\\nPublic Cloud\\nDiscover Public Cloud\\nService ecosystem\\nAutomate your setup, propel your business\\nPricing\\nView our simple, accessible pricing\\nPublic Cloud free trial\\nTry out our solutions at no cost\\nSavings Plans\\nNew\\nOpt for a 1 to 36 month subscription and save on your Public Cloud resources.\\nThe advantages of the Public Cloud solution\\nDiscover cloud computing solutions to meet your needs\\nCloud Computing\\nFind out more about this growing practice\\nCertification & compliance\\nExplore how OVHcloud builds trusted solutions\\nTrusted Zones\\nDeploy your critical data in high-security zones\\nAvailability by region\\nExplore our catalogue coverage by region\\nLocal Zones\\nNew\\nDeploy cloud services closer to your users\\nOur documentation\\nRead our guides and tutorials\\nCompute\\nBack to menu\\nCompute\\nCompute\\nExplore all our Compute products\\nVirtual Machine Instances\\nGet versatile instances that can be adapted to suit all your needs.\\nCloud GPU\\nSpeed up your workloads with high-performance GPU instances.\\nMetal Instances\\nCombine the power of Bare Metal with cloud automation\\nOur documentation\\nBrowse our documentation for the Compute range\\nEn route to PaaS\\nFocus on your applications & become more competitive\\nLocal Zone\\nNew\\nDeploy cloud services closer to your users\\nStorage\\nBack to menu\\nStorage\\nStorage\\nExplore all our Storage products\\nBlock Storage\\nCreate storage volumes, which can be used as additional disks\\nObject Storage\\nGet S3-compatible unlimited storage on demand\\nCold Archive\\nHighly economical archiving for infrequently accessed data.\\nLocal Zone\\nNew\\nDeploy cloud services closer to your users\\nOur documentation\\nBrowse our documentation for the Storage range\\nNetwork\\nBack to menu\\nNetwork\\nNetwork\\nExplore all our Network products\\nPrivate Network\\nDeploy private networks via the OVHcloud vRack\\nLoad Balancer\\nManage variable traffic by spreading it across multiple resources\\nFloating IP\\nAssign and move your public IP from one service to another\\nGateway\\nManage a single connection point between your private network & internet\\nOur documentation\\nView our documentation for the Network range\\nContainers & Orchestration\\nBack to menu\\nContainers & Orchestration\\nContainers & Orchestration\\nExplore all our Containers & Orchestration products\\nManaged Kubernetes Service\\nOrchestrate your containerised applications with a CNCF-certified Kubernetes cluster\\nLoad Balancer for Managed Kubernetes Service\\nManage variations in activity by distributing traffic across multiple resources\\nManaged Rancher Service\\nNew\\nSimplified and centralised management of your Kubernetes clusters\\nManaged Private Registry\\nManage your images of containers and helmchart on a secure private registry\\nOur documentation\\nView our documentation for the Containers & Orchestration range\\nEn route to PaaS\\nFocus on your applications & become more competitive\\nDatabases\\nBack to menu\\nDatabases\\nDatabases\\nExplore all our Databases products\\nMongoDB\\nDocument-oriented NoSQL engine. Try for free with Free Tier\\nMySQL\\nPopular relational database that adapts to your usage\\nPostgreSQL\\nThe top open-source relational database engine\\nValkey\\nSmart in-memory storage\\nOur Documentation\\nView our documentation for the Databases range\\nEn route to PaaS\\nFocus on your applications & become more competitive\\nAnalytics\\nBack to menu\\nAnalytics\\nAnalytics\\nExplore all our Analytics products\\nKafka\\nQueueing solution for deploying your event-driven architectures\\nKafka Connect\\nExtension simplifying the ingestion of your sources to Apache Kafka\\nKafka MirrorMaker\\nReplication ensuring high availability for your Kafka clusters\\nLogs Data Platform\\nComplete platform to collect, store and view your logs\\nOpenSearch\\nA dedicated engine for indexing, searching and analyzing data\\nClickHouse\\nNew\\nUltra-fast data analysis at your fingertips\\nManaged Dashboards\\nGrafana platform for creating dashboards\\nOur documentation\\nView our documentation for the Analytics range\\nEn route to PaaS\\nFocus on your applications & become more competitive\\nData Platform\\nNew\\nBack to menu\\nData Platform\\nData Platform\\nBrowse all our Data Platform products\\nDiscover the OVHcloud Data Platform\\nNew\\nCarry out your Data & Analytics projects in record time and with ease\\nData Catalog\\nNew\\nMore than 50 connectors for all your data sources\\nLakehouse Manager\\nNew\\nUnified data warehouse and data lake storage, based on Apache Iceberg\\nData Processing Engine\\nNew\\nAutomate the execution and orchestration of your ETL\\/ELT workloads\\nAnalytics Manager\\nNew\\nCreate your dashboards and launch your requests with the Trino engine\\nApplication Services\\nNew\\nSDK and serverless services to deploy your APIs and Data applications\\nControl Center\\nNew\\nMonitor metrics, manage logs and alerts for your environments\\nAI & Machine Learning\\nBack to menu\\nAI & Machine Learning\\nAI & Machine Learning\\nExplore all our AI & Machine learning products\\nAI & Quantum Notebooks\\nLaunch your Jupyter or VS Code notebooks in the cloud, and choose from our native AI or quantum frameworks\\nAI Training\\nTrain your AI models\\nAI Deploy\\nDeploy machine learning models & get your predictions\\nAI Endpoints\\nNew\\nIntegrate generative AI models into your applications easily and securely via standard APIs.\\nOur documentation\\nBrowse our documentation for the AI & Machine Learning range\\nEn route to PaaS\\nFocus on your applications & become more competitive\\nQuantum Computing\\nBack to menu\\nQuantum Computing\\nQuantum Computing\\nExplore all our Quantum Computing products\\nQuantum Emulators\\nNew\\nSimulate your quantum algorithms on ready-to-use notebooks\\nQuantum Processing Units (QPU)\\nNew\\nAccess real quantum computers through our Quantum Platform\\nWhat is Quantum computing?\\nLearn more about the next accelerated computing revolution and how to develop today\\u2019s solutions with tomorrow\\u2019s quantum computers\\nIdentity, Security & Operations\\nBack to menu\\nIdentity, Security & Operations\\nIdentity, Security & Operations\\nDiscover all our Identity, Security & Operations products\\nIdentity and Access Management (IAM)\\nSecure your access management and improve your productivity\\nLogs Data Platform\\nComplete platform to collect, store and view your logs\\nKey Management Service (KMS)\\nSecure your data across all your OVHcloud services from one place\\nSecret Manager\\nProfessionally manage of all your secrets in one place\\nServices Logs\\nMonitor the performance and security of your cloud environment\\nHosted Private Cloud\\nBack to menu\\nHosted Private Cloud\\nVMware\\nBack to menu\\nVMware\\nVMware on OVHcloud\\nDiscover VMware on OVHcloud\\nPublic VCF as a Service\\nNew\\nShared and managed VMware solution, powered by VMware Cloud Foundation\\nManaged VMware vSphere solutions\\nManaged VMware solution for all enterprises\\nSecNumCloud-qualified Managed VMware vSphere\\nANSSI-qualified VMware Trusted Zone solution\\nSolutions\\nCompare VMware solutions\\nSAP on OVHcloud\\nDatacentre extension and migration\\nHybrid and Multi-Cloud Solutions\\nDisaster recovery solutions\\nEuropean Trusted Zone Solutions\\nView all solutions\\nNutanix\\nBack to menu\\nNutanix\\nHosted Private Cloud\\nNC2 on OVHcloud\\nNew\\nNutanix Cloud Clusters (NC2) on OVHcloud\\nNutanix on OVHcloud\\nOur scalable, ready-to-use Nutanix hyperconverged platform (HCI)\\nSecNumCloud-qualified Bare Metal Pod\\nNew\\nNutanix-certified servers available in SecNumCloud-qualified Bare Metal Pod\\nHYCU for OVHcloud\\nSimplify the backup and migration of your Nutanix workloads\\nVeeam Enterprise for all your backups\\nA dedicated Veeam Backup Replication solution for all your backups\\nUse cases\\nMigrate and manage your data\\nDisaster Recovery Plan (DRP)\\nHyperconvergence, savings and ecology\\nDisaster Recovery (DRaaS)\\nSAP HANA\\nBack to menu\\nSAP HANA\\nSAP HANA\\nSAP HANA on Private Cloud\\nThe solution that facilitates your SAP deployments in a sovereign cloud\\nSolutions\\nSAP on OVHcloud\\nOn-Prem Cloud Platform\\nBack to menu\\nOn-Prem Cloud Platform\\nOn-Prem Cloud Platform\\nOn-Prem Cloud Platform (OPCP)\\nOPCP enables you to deploy your services on-premises or at the edge, with complete autonomy and security. Air-gapped by design.\\nInfra as a Service\\nCore infrastructure to build and operate your on-premises cloud\\nPlatform as a Service\\nCloud-native environments and ready-to-use services\\nCloud ready\\nLanding Zone to deploy and manage workloads easily\\nStorage & Backup\\nBack to menu\\nStorage & Backup\\nStorage and backup\\nDiscover all the storage solutions\\nVeeam option for VMware backup\\nThe Veeam Managed Backup solution for backing up your virtual machines\\nZerto option for your VMware Disaster Recovery Plan\\nMulti-site Disaster Recovery Plan solution for your VMware clusters\\nVeeam option for Public VCF as a Service\\nA dedicated Veeam Backup Replication solution for all your backups\\nVeeam Enterprise - Licences\\nA dedicated Veeam Backup Replication solution for all your backups\\nHYCU for OVHcloud\\nSimplify the backup and migration of your Nutanix workloads\\nObject Storage\\nGet S3-compatible unlimited storage on demand\\nCold Archive\\nGet long-term archiving at the best price\\nNetApp - Enterprise File Storage\\nFully managed file storage based on NetApp ONTAP Select\\nUse cases\\nBackup and Disaster Recovery\\nBusiness continuity\\nDisaster Recovery for Managed VMware vSphere\\nDisaster Recovery for Nutanix on OVHcloud\\nNetwork\\nBack to menu\\nNetwork\\nNetwork\\nAdditional IP\\nAssign and move dynamic IP addresses from one service to another\\nOVHcloud Load Balancer\\nBalance your application load across multiple backend servers\\nPrivate Network (vRack)\\nConnect all your OVHcloud services together with an isolated private network\\nOVHcloud Connect\\nConnect your datacentre to OVHcloud\\nCDN Infrastructure\\nA dedicated CDN to complement your OVHcloud products\\nBring Your Own IP (BYOIP)\\nBring your IP addresses and simplify your migration to OVHcloud\\nNetwork Security\\nBack to menu\\nNetwork Security\\nNetwork Security\\nAnti-DDoS infrastructure\\nKeep your infrastructures protected against DDoS attacks\\nDNSSEC\\nProtect your data from DNS cache poisoning\\nSSL Gateway\\nSimplest way to enable security on your webpage. Without any effort!\\nIdentity, Security & Operations\\nBack to menu\\nIdentity, Security & Operations\\nIdentity, Security & Operations\\nIdentity and Access Management (IAM)\\nSecure your access management and enhance your productivity\\nLogs Data Platform\\nComplete platform to collect, store and view your logs\\nKey Management Service (KMS)\\nSecure your data across all your OVHcloud services from one central place\\nSecret Manager\\nProfessionally manage of all your secrets in one place\\nService Logs\\nMonitor your cloud environment\\u2019s performance and security\\nCompliance and certifications\\nBack to menu\\nCompliance and certifications\\nCompliance and certifications\\nFull list of standards and regulations\\nGDPR\\nCompliance with the General Data Protection Regulation (EU) 2016\\/679\\nSecNumCloud\\nANSSI Security Visa Qualification\\nHDS and healthcare data hosting\\nHosting healthcare data in the UK and across Europe\\nHIPAA and HITECH\\nHosting healthcare data in the US\\nPCI DSS\\nFinancial data hosting\\nISO\\/IEC 27001, 27017 and 27018\\nInformation Security Management\\nISO\\/IEC 27701\\nManaging the security of personal data processing\\nISO 14001\\nManaging environmental impacts\\nISO 50001\\nEnergy management\\nSOC 1, 2 and 3\\nAICPA SSAE 16\\/ISAE 3402 type II attestation and reports\\nEBA and ACPR\\nCompliance for financial services operators in Europe\\nG-Cloud\\nPublic sector cloud service delivery in the UK\\nSolutions\\nBack to menu\\nSolutions\\nUse Cases\\nBack to menu\\nUse Cases\\nUse Cases\\nMigrate to the cloud\\nHybrid cloud & Multi Cloud\\nApp Modernization\\nCloud Native App\\nArtificial Intelligence\\nBig Data Analytics\\nData Management\\nHigh-Performance Workloads\\nLarge Data set storage\\nGrid Computing\\nMove to PaaS\\nBackup and disaster recovery\\nBusiness Continuity\\nTrusted Zone\\nSecNumCloud Environment\\nNetwork Protection\\nCloud Security\\nExtension & Migration Datacenter\\nDatacenter transformation\\nElevate your brand reputation\\nPrioritise financial stability\\nProtect your business against cyberthreats\\nIndustry\\nBack to menu\\nIndustry\\nIndustry\\nPublic Sector\\nA trusted solution for governments and authorities\\nHealthcare\\nThe trusted solution for the healthcare sector\\nFinancial Service\\nOur solutions for financial services operators\\nManufacturing\\nThe trusted cloud solution for European manufacturers\\nSoftware\\/Information Technology\\nSaaS and PaaS solutions from OVHcloud Partner Software Publishers\\nGaming\\nCloud solutions for companies and individuals in the gaming industry\\nBlockchain\\nFree up your blockchain projects with OVHcloud solutions\\nOrganisation Type\\nBack to menu\\nOrganisation Type\\nOrganisation Type\\nEnterprise\\nSolutions for enterprise-level digital transformation\\nSoftware publishers (SaaS\\/PaaS)\\nSaaS and PaaS solutions from OVHcloud Partner Software Publishers\\nSystem Integrator\\nSolutions for integrators, service providers and consulting firms\\nGovernment \\/ Administrations\\nTrusted solutions for governments and authorities\\nStartup\\nSupport solutions for start-ups\\nScaleup\\nSupport solutions for scale-ups\\nTechnology\\nBack to menu\\nTechnology\\nTechnology\\nVeeam\\nProtect your data with Veeam solutions offered by OVHcloud\\nVMware by Broadcom\\nVMware by Broadcom and OVHcloud solutions for all your projects\\nNutanix\\nAccelerate and simplify your hybrid multicloud journey with Nutanix on OVHcloud solution\\nHYCU\\nThe backup solution trusted by Nutanix users\\nSAP\\nOur SAP on OVHcloud solutions for SAP environments hosting in a sovereign cloud\\nNetApp\\nNetApp storage solutions with cost control and high performance\\nNvidia\\nNvidia GPU solutions for accelerating your innovation and AI projects\\nMongoDB\\nMongoDB solutions that simplify data management\\nOpenStack\\nOpenStack solutions integrated with OVHcloud for cloud infrastructure\\nIntel\\nExpert solutions powered by Intel\\u00ae Xeon\\u00ae that accelerate cloud processes\\nAMD\\nTop-of-the-line cloud solutions powered by AMD processors\\nHadoop Cloudera\\nYour 100% managed Cloudera solution with Claranet\\nEcosystem\\nBack to menu\\nEcosystem\\nEcosystem\\nDiscover the OVHcloud partner ecosystem\\nPartner Program\\nAn initiative dedicated to our reseller partners, integrators, administrators and consultants.\\nOpen Trusted Cloud\\nAn ecosystem of labelled SaaS and PaaS solutions, hosted in our open, reversible and reliable cloud\\nStartup Program\\nA support program for startups and scaleups to accelerate their growth\\nOVHcloud Labs\\nThe innovation zone to test our cutting-edge technologies before they are officially launched on the market\\nOur Ecosystem events\\nFind all the events dedicated to our partner ecosystem: webinars, conferences, and more\\nOVHcloud Ecosystem Awards\\nDiscover our OVHcloud Ecosystem awards that rewards our ecosystem leaders of the Year per category\\nTraining & Certification\\nDevelop your expertise with the training and certifications available to OVHcloud Partner Program members.\\nQuick Access\\nFind a partner\\nSign up to the OVHcloud Partner Program\\nSign up to the OVHcloud Startup Program\\nPrice comparison\\nPartner Portal\\nFAQ Partner Program\\nAbout\\nBack to menu\\nAbout\\nAbout\\nWho we are\\nNewsroom\\nGlobal infrastructure\\nOur datacenters\\nOur Local Zones\\nBackbone network\\nJoin the OVHcloud adventure\\nPatent Pledge\\nLegal\\nGDPR - Personal data protection\\nOur commitments\\nInnovation\\nSustainable cloud\\nTrusted cloud\\nInvestor Relations\\nEnvironmental Impact Tracker\\nSummit\\nOpen search bar\\nClose search bar\\nNo result\\nProducts\\nSolutions\\nPartners\\nDocumentation\\nArticles\\nSee all results\\nWhat is Load Balancing?\\nLearning Centre\\nWhat is Load Balancing?\\nLoad balancing is an important concept in IT infrastructure management, particularly for applications hosted on multiple servers or in cloud environments.\\nAs demand for online solutions grows, load balancing is becoming increasingly essential, particularly for cloud computing, cloud native and therefore containerised applications such as Kubernetes. This article will explain the definition, features and benefits of load balancing, highlighting their relevance in today's digital world.\\nLoad balancing definition\\nLoad balancing is the process of distributing workloads and network traffic across multiple servers. This process maximizes resource usage, reduces response times, and avoids overloading a single server. It plays an important role in maintaining the performance and stability of servers, databases, and applications.\\nA load balancer acts as an intermediary between client devices and back-end servers, ensuring that requests are directed to the most appropriate server. This prevents some servers from remaining idle while others are overloaded, helping to ensure optimal resource usage.\\nHow does load balancing work?\\nLoad balancing works by analyzing incoming requests and routing them based on specific policies or algorithms. Traffic is then distributed according to different criteria:\\nRound Robin\\n: requests are sent sequentially to each server in turn.\\n\\u00a0\\nLeast Connections\\n: Requests are directed to the server with the fewest active connections.\\n\\u00a0\\nHash\\nIP: Requests are routed according to the client's IP address to ensure session persistence.\\n\\u00a0\\nWeighted\\nRound Robin: Servers with higher capacity receive more requests.\\nFor more advanced configurations, load balancers can also perform health checks on the servers. These checks ensure that they are responsive and healthy before directing traffic to them, adding a layer of reliability.\\nLoad balancer definition\\nA load balancer is a physical or virtual device that distributes network traffic and workloads across multiple servers. This can be a hardware device, software application, or cloud service, with each being adapted to different environments and requirements.\\nLoad balancer types\\nThere are several types of load balancers, each of which meet different needs:\\nHardware\\nload balancers: Physical devices used in high-performance datacentres.\\n\\u00a0\\nLoad Balancers software\\n: software solutions installed on servers or containers, offering greater flexibility.\\n\\u00a0\\nCloud\\nLoad Balancers: Cloud solutions provided by cloud\\nsolution\\nproviders , offering scalability, ease of use, and reduced overheads for cloud load balancing.\\nLoad balancers with Kubernetes\\nLoad balancers with Kubernetes\\n, a container orchestration platform, are essential for managing traffic to services running within the cluster. This is then distributed transparently across a service\\u2019s pods to ensure better application outcomes and availability, even during scaling operations.\\nHow does a load balancer work?\\nA load balancer receives incoming requests and distributes them according to its configuration. The typical operation consists of:\\nClient\\nQuery Management - The Load Balancer receives requests from client devices.\\n\\u00a0\\nTraffic\\ndistribution: The load balancer distributes requests using a selected algorithm.\\n\\u00a0\\nHealth\\nCheck: The load balancer checks the health of the servers before routing requests.\\n\\u00a0\\nQuery routing and response\\n: The load balancer forwards the request to the chosen server, which processes it and sends the response back to the client.\\nImportance of algorithms\\nThe effectiveness of a load balancer depends largely on the algorithms used. Algorithms such as round-robin, least connections and IP hash ensure a balanced distribution of traffic and efficient use of servers. Advanced features such as SSL termination and session persistence further optimize traffic management.\\nCloud Load Balancer\\nCloud\\nload balancers\\nare designed to distribute incoming traffic in a balanced way across multiple servers, ensuring optimal workload distribution and enhancing application resilience and availability. Their flexibility comes from their ability to adapt quickly to traffic fluctuations and application scalability.\\nAdvantages and importance of a load balancer\\nImproved performance and scalability\\nBy distributing traffic, load balancers avoid bottlenecks and help you maintain high levels of performance. In cloud environments, they automatically adjust capacity for variations.\\nA reliable and available solution\\nIf one server goes down, the load balancer redirects traffic to healthy servers, ensuring uninterrupted service. This fault tolerance plays an important role in maintaining 24\\/7 availability for services offered by companies.\\nBetter resource optimization\\nLoad balancing ensures that no server is underutilized or overutilized, maximizing server efficiency and minimizing the risk of failures due to overload.\\nImproving security\\nLoad balancers hide the identity of back-end servers, which enhances security by preventing attackers from targeting individual servers. They can also support SSL processing, which reduces the load on back-end servers.\\nSimplified maintenance and management\\nWith a load balancer, server maintenance can be performed without causing downtime. The flow of information is redirected to other servers during maintenance, making the process transparent.\\nIntegration with cloud solutions\\nLoad balancers integrate seamlessly with cloud services, allowing companies to deploy more resilient and scalable applications. With their auto-scaling and optimization capabilities, they ensure smooth, high-performance management of workloads in the cloud.\\nOVHcloud and load balancing\\nLoad balancing is undoubtedly one of the key elements of modern IT infrastructure. It ensures efficient data flow distribution across multiple servers, with excellent availability and security results in both traditional datacentres and cloud environments.\\nWith advances in cloud computing and technologies like\\nKubernetes\\n, load balancing continues to evolve, offering sophisticated traffic management solutions. As companies increasingly adopt\\ncloud\\n-based architectures, its role remains central to maintaining high-quality, reliable digital services.\\nScale your workloads with our cloud solutions in any of our regions\\nOur Load Balancer balances the load between your OVHcloud services hosted in our regions. This service allows you to scale your infrastructure to handle high traffic, ensuring high availability and optimized response times for your customers.\\nLoad Balancer\\nBack to top\\nTools\\nMy customer account\\nWebmail\\nAPI\\nProcedure\\nMailing lists\\nStatus\\nWhois\\nDomain contact\\nReport abuse (abuse@ovh.net)\\nWHOIS information disclosure request\\nIntellectual property\\nTrademarks\\nSupport\\nHelp centre\\nGuides\\nLearning Centre\\nGlossary\\nCommunity\\nSupport levels\\nContact us\\nOVHcloud Customer Service\\nMonday to Friday, 9am to 6pm\\n+44333 370 0425\\nLocal call rate\\nNews\\nPress\\nBlog\\nSocial networks\\nKeep in touch\\n\\u00a9 Copyright 1999-2026 OVH SAS.\\nTerms & conditions\\nContracts\\nData protection\\nManage my cookies\\nRights and obligations of domain name holders\\nICANN documentation for domain name holders\\nPayments\\nSitemap\\nAbout OVHcloud\\nOVHcloud Careers\\nIn accordance with the 2006\\/112\\/CE Directive, modified on 01\\/01\\/2015, prices incl. VAT may vary according to the customer's country of residence\\n(by default, the prices displayed are inclusive of the UK VAT in force).\\n\"}"
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            "Managed Bare Metal",
            "Storage and Backups (Enterprise File Storage, HA-NAS, Cloud Disk Array)",
            "Networking (Additional IP, Load Balancer, Private Network)",
            "Network Security (DDoS protection, DNSSEC, SSL Gateway)",
            "Identity, Security & Operations (IAM, Logs Data Platform)",
            "Bare Metal Pod",
            "Domain Hosting Email",
            "Web Hosting",
            "Email & Collaborative Solutions (Exchange, Office 365)",
            "SMS",
            "Public Cloud (Compute, Storage, Network, Containers & Orchestration, Databases, Analytics, Data Platform, AI & Machine Learning, Quantum Computing)",
            "Hosted Private Cloud (VMware, Nutanix, SAP HANA)",
            "On-Prem Cloud Platform",
            "Compliance and Certifications (GDPR, SecNumCloud, HIPAA, PCI DSS)",
            "Solutions and Use Cases (Migration, Hybrid Cloud, AI, Big Data)",
            "Industries (Public Sector, Healthcare, Finance, Manufacturing, Gaming)",
            "Organisation Types (Enterprise, Startup)",
            "Technologies (Veeam, VMware, Nutanix, SAP)",
            "Ecosystem (Partner Program, Startup Program)",
            "About OVHcloud (News, Datacenters, Legal)",
            "The menu allows you to select your region and currency:",
            "Europe (€/£/PLN)",
            "America ($)",
            "Africa (Dhs/FCFA/DT)",
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            "World ($/€)",
            "OVHcloud offers load balancing services to distribute network traffic across multiple servers.",
            "Load balancing improves performance, scalability, reliability, and security.",
            "OVHcloud customer service is available Monday to Friday, 9am to 6pm on +44333 370 0425 (local call rate)."
        ]
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Log ID: 1325980 Text ID: 241718 Status: 1 Cost: 1.25 Date: 2026-01-14 07:22:23
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        "content": "{\"data\":[\"Load balancing spreads network traffic across multiple servers.\",\"It prevents any single server from being overloaded, ensuring the website remains responsive.\",\"Traffic distribution ensures that the system handles increased request volumes without performance degradation.\",\"Without load balancing, a single point of failure can cause downtime and lost revenue.\",\"Load balancing enhances scalability by adding servers as traffic grows.\",\"It improves reliability by redirecting requests if a server fails.\",\"Load balancing strengthens security by reducing the impact of denial-of-service attacks.\",\"Types of Load Balancers:\",\"\\t- Hardware load balancers: Physical devices known for high performance and reliability.\",\"\\t- Software load balancers: Applications running on standard server hardware for flexibility.\",\"\\t- Cloud-based load balancers: Solutions provided by platforms like AWS, Azure, and GCP, which scale automatically.\",\"Local load balancing distributes traffic within a single data centre.\",\"Global load balancing directs traffic across multiple regions.\",\"Load Balancing Algorithms:\",\"\\t- Round robin: Sends requests sequentially to each server.\",\"\\t- Least connections: Directs new requests to the server with the fewest active connections.\",\"\\t- IP hashing: Maps each client\\u2019s IP address to a specific server.\",\"\\t- Weighted load balancing: Assigns weights to servers based on their capacity.\",\"\\t- Adaptive load balancing: Uses real-time data to dynamically adjust traffic distribution.\",\"Manual load balancing relies on static configurations.\",\"Automated load balancing adjusts in real-time based on current conditions.\",\"Centralized load balancing uses a single load balancer, risking a single point of failure.\",\"Distributed load balancing involves multiple nodes for resilience and scalability.\",\"Load balancing protects against DDoS attacks through traffic distribution.\",\"Load balancers distribute traffic, while reverse proxies add functions like caching.\",\"Common Load Balancing Tools:\",\"\\t- NGINX: Open-source web server with robust load balancing.\",\"\\t- HAProxy: Open-source tool for high availability.\",\"\\t- AWS Elastic Load Balancer: Cloud-based service that distributes traffic across EC2 instances.\",\"\\t- Azure Load Balancer: Microsoft\\u2019s cloud service for traffic distribution across VMs.\",\"\\t- Google Cloud Load Balancing: GCP\\u2019s suite for global and network load balancing.\",\"Factors to Consider:\",\"\\t- Traffic volume and scalability: Handle current traffic and offer scalability.\",\"\\t- Security features: Protect against DDoS attacks.\",\"\\t- Cloud or on-premises integration: Integrate with the existing tech stack.\",\"\\t- Cost implications: Includes setup, maintenance, and subscription fees.\",\"\\t- Ease of management: Automated health checks reduce administrative effort.\",\"\\t- Support and reliability: Consistent uptime and fast issue resolution are required.\",\"Future Trends:\",\"\\t- AI and ML: Adaptive traffic distribution.\",\"\\t- Edge computing: Reduces latency by processing data closer to the source.\",\"\\t- Serverless load balancing: Adapts to functions and microservices dynamically.\",\"The article was posted on May 19, 2025, and has 1,781 views.\",\"They provide colocation, cloud, bare metal, interconnection and managed services.\",\"A new report suggests 60% of businesses are seeing a return on investment (ROI) from AI or expect to within a year.\",\"Load balancing is important for optimising performance and resources in data centres.\",\"Load balancing distributes network traffic across multiple servers using algorithms like Round Robin, Weighted Round Robin, Least Connections, Weighted Least Connections, Least Response Time, IP Hash, and Consistent Hashing.\",\"Load balancing can improve app performance, resource use, availability, scalability and simplifies maintenance.\",\"Article updated on June 30, 2024.\",\"You can request a quote or schedule a tour of their facilities.\",\"Contact details: Sales: 800.840.7533, Support: 855.328.2247.\",\"Load balancing distributes network traffic across multiple servers to optimise network operations.\",\"It improves application responsiveness and handles traffic spikes without affecting performance.\",\"A load balancer can be hardware or software.\",\"Load balancing helps with resource use, application performance, availability and service dependability.\",\"Load balancers filter traffic based on IP addresses (Layer 4) or HTTP header data (Layer 7).\",\"Types of load balancing:\",\"\\t-Static: Uses fixed rules, suitable for small data centres. Examples include Round Robin and IP Hash.\",\"\\t\\t-Round Robin: Distributes requests evenly or based on weighted capacity.\",\"\\t\\t-IP Hash: Uses IP addresses to assign a routing path.\",\"\\t-Dynamic: Adapts to real-time network conditions, used in larger cloud networks. Examples include Least Connections and Least Response Time.\",\"\\t\\t-Least Connections: Assigns new connections to the server with the fewest connections.\",\"\\t\\t-Least Response Time: Monitors real-time response time for all active servers.\",\"\\t-Advanced: Uses a weighted least connections algorithm, weights are assigned based on performance, capacity and limitations.\",\"Considerations for choosing a load balancing scheme:\",\"\\t-Geolocation: Account for network environment factors that can affect latency.\",\"\\t-Complexity, compute and storage: Static algorithms may outperform dynamic ones in scalable networks.\",\"\\t-Dependability: Choose an algorithm that can route optimally and efficiently in real-time.\",\"Autonomous load balancing uses AI to select the route to ensure all constraints are sufficiently met.\",\"Visibility and control into third-party cloud environments is a limiting factor in AI-based algorithms.\",\"This is a menu from OVHcloud, a cloud computing company.\",\"It lists various products and services, including:\",\"Bare Metal & VPS (Dedicated Servers, Eco Dedicated Servers, Virtual Private Servers)\",\"Managed Bare Metal\",\"Storage and Backups (Enterprise File Storage, HA-NAS, Cloud Disk Array)\",\"Networking (Additional IP, Load Balancer, Private Network)\",\"Network Security (DDoS protection, DNSSEC, SSL Gateway)\",\"Identity, Security & Operations (IAM, Logs Data Platform)\",\"Bare Metal Pod\",\"Domain Hosting Email\",\"Web Hosting\",\"Email & Collaborative Solutions (Exchange, Office 365)\",\"SMS\",\"Public Cloud (Compute, Storage, Network, Containers & Orchestration, Databases, Analytics, Data Platform, AI & Machine Learning, Quantum Computing)\",\"Hosted Private Cloud (VMware, Nutanix, SAP HANA)\",\"On-Prem Cloud Platform\",\"Compliance and Certifications (GDPR, SecNumCloud, HIPAA, PCI DSS)\",\"Solutions and Use Cases (Migration, Hybrid Cloud, AI, Big Data)\",\"Industries (Public Sector, Healthcare, Finance, Manufacturing, Gaming)\",\"Organisation Types (Enterprise, Startup)\",\"Technologies (Veeam, VMware, Nutanix, SAP)\",\"Ecosystem (Partner Program, Startup Program)\",\"About OVHcloud (News, Datacenters, Legal)\",\"The menu allows you to select your region and currency:\",\"Europe (\\u20ac\\/\\u00a3\\/PLN)\",\"America ($)\",\"Africa (Dhs\\/FCFA\\/DT)\",\"Oceania (A$)\",\"Asia (S$\\/US$\\/\\u20b9)\",\"World ($\\/\\u20ac)\",\"OVHcloud offers load balancing services to distribute network traffic across multiple servers.\",\"Load balancing improves performance, scalability, reliability, and security.\",\"OVHcloud customer service is available Monday to Friday, 9am to 6pm on +44333 370 0425 (local call rate).\"]}"
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Log ID: 1326331 Text ID: 241718 Status: 1 Cost: 0.02 Date: 2026-01-14 08:15:02
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        "content": "{\"data\":\"<p>In today's digital landscape, where organisations depend on seamless connectivity and instant access to applications, ensuring that network infrastructure operates at peak efficiency has become more vital than ever. As businesses expand and user demands increase, the challenge of maintaining responsive, reliable systems grows exponentially. This is where the strategic implementation of load balancing solutions proves indispensable, transforming how networks handle traffic and safeguarding against performance bottlenecks that could otherwise disrupt operations and frustrate users.<\\/p><h2>The Fundamentals of Load Balancing in Modern Networks<\\/h2><p>Load balancing represents a foundational approach to distributing network traffic across multiple servers, ensuring that no single component becomes overwhelmed by demand. Rather than directing all incoming requests to one machine, this technique intelligently allocates workloads, thereby maintaining application responsiveness even during periods of intense activity. The principle is straightforward yet remarkably effective: by spreading the burden, organisations prevent any individual server from becoming a single point of failure, which could otherwise lead to costly downtime and lost revenue. The distributed architecture inherent to load balancing also enhances scalability, allowing businesses to add servers seamlessly as their traffic volumes grow, without requiring fundamental changes to their existing infrastructure.<\\/p><h3>What Load Balancing Actually Does for Your Infrastructure<\\/h3><p>At its core, load balancing acts as a traffic management system, intelligently routing user requests to available resources based on predefined criteria. This process ensures that each server operates within its optimal capacity, thereby maximising resource utilisation and preventing performance degradation. When a user connects to a website or application, the load balancer evaluates the current state of all servers in the pool and directs the request to the most suitable candidate. This real-time decision-making capability is crucial for maintaining high availability, as it allows the system to adapt dynamically to changing conditions. If a server fails or becomes unresponsive, the load balancer automatically redirects traffic to healthy machines, ensuring continuity of service. Take a look at how this functionality extends beyond mere distribution: it also incorporates health checks and automated routing, continuously monitoring server performance and making adjustments to maintain optimal responsiveness. By filtering traffic based on IP addresses at Layer 4 or analysing HTTP header data at Layer 7, load balancers provide granular control over how requests are processed, enabling organisations to tailor their network behaviour to specific application requirements.<\\/p><h3>Different Types of Load Balancing Algorithms Explained<\\/h3><p>The effectiveness of load balancing hinges on the algorithms that govern traffic distribution. Among the most widely used is round robin, which sends requests sequentially to each server in turn, ensuring an even spread of workload across the pool. This method is straightforward and works well in environments where servers have similar capacities and processing times. However, when servers vary in power or when certain connections require more resources, weighted load balancing becomes more appropriate. This approach assigns weights to individual servers based on their capacity, directing proportionally more traffic to those capable of handling greater loads. Another popular algorithm is least connections, which routes new requests to the server currently handling the fewest active sessions. This technique proves particularly effective for applications where connection durations vary significantly, as it prevents any server from becoming disproportionately burdened. IP hashing maps each client's IP address to a specific server, ensuring that a user consistently connects to the same machine. This method is beneficial for maintaining session persistence, which is essential for applications that rely on stateful interactions. Adaptive load balancing represents a more advanced strategy, using real-time data to dynamically adjust traffic distribution based on current network conditions. By continuously evaluating server performance metrics such as response time and resource availability, this method optimises efficiency and resilience. Static load balancing relies on fixed rules and is suitable for smaller data centres with predictable traffic patterns, while dynamic load balancing adapts to fluctuating demands, making it ideal for larger cloud environments. Advanced techniques, such as weighted least connections, combine multiple factors to achieve even finer control, assigning weights based on performance, capacity, and limitations to ensure optimal routing.<\\/p><h2>Practical Benefits of Implementing Load Balancing Solutions<\\/h2><p>Implementing load balancing solutions yields a wealth of tangible benefits that extend far beyond simple traffic distribution. By ensuring that no server becomes a bottleneck, organisations experience marked improvements in application performance and user satisfaction. The ability to handle traffic spikes without degradation is particularly valuable in today's environment, where sudden surges in demand can occur unpredictably. Load balancing also enhances reliability by providing built-in redundancy: if one server fails, traffic is seamlessly rerouted, minimising the risk of downtime and preserving business continuity. This capability is especially critical for enterprises that cannot afford service interruptions, as even brief outages can result in significant financial losses and damage to reputation. Furthermore, load balancing strengthens security by mitigating the impact of denial-of-service attacks. By distributing malicious traffic across multiple servers, the system reduces the likelihood that any single machine will be overwhelmed, thereby maintaining service availability for legitimate users. The technology also supports scalability, enabling organisations to expand their infrastructure incrementally as demand grows, without necessitating disruptive overhauls. This flexibility is invaluable for businesses navigating periods of rapid growth or seasonal fluctuations.<\\/p><h3>How Load Balancing Maximises Network Efficiency and Uptime<\\/h3><p>Network efficiency and uptime are paramount concerns for any organisation reliant on digital services, and load balancing addresses both with remarkable effectiveness. By intelligently distributing workloads, load balancers ensure that each server operates within its optimal range, avoiding the inefficiencies that arise when resources are either underutilised or strained beyond capacity. This balanced approach not only maximises throughput but also extends the lifespan of hardware by preventing excessive wear on individual components. Automated health checks play a crucial role in maintaining uptime, as they continuously monitor server status and remove unresponsive machines from the pool until they recover. This proactive fault tolerance means that users experience minimal disruption, even in the event of hardware failures or software errors. The benefits are further amplified by the ability to perform maintenance without taking systems offline: by temporarily redirecting traffic away from a server, administrators can apply updates or replace components while the rest of the infrastructure continues to serve users. Load balancing also reduces latency by routing requests to servers that are geographically closer to users or that exhibit faster response times. This geolocation routing is particularly valuable for global organisations, as it ensures that users in different regions enjoy consistently swift access to applications and content. As traffic volumes increase, the ability to add capacity on demand without service interruption provides a level of agility that is essential in today's fast-paced digital economy.<\\/p><h3>Real-World Applications Across Various Industries<\\/h3><p>The versatility of load balancing has led to its adoption across a diverse array of industries, each leveraging the technology to address unique challenges. In the public sector, government agencies rely on load balancing to ensure that critical services remain accessible during peak usage periods, such as tax filing deadlines or emergency notifications. Healthcare organisations use load balancers to maintain the availability of electronic health records and telemedicine platforms, where even brief outages can have serious consequences for patient care. Financial institutions depend on the technology to support high-frequency trading systems and online banking services, where milliseconds of delay can translate to significant financial impact. Manufacturing companies integrate load balancing into their supply chain management systems, ensuring that real-time inventory tracking and production monitoring remain uninterrupted. The gaming industry, with its unpredictable traffic patterns and demanding performance requirements, has embraced load balancing to deliver smooth, responsive experiences to players around the world. Startups, often operating with limited resources, benefit from cloud-based load balancing solutions that scale automatically, allowing them to focus on innovation rather than infrastructure management. Enterprises with complex, hybrid cloud environments use load balancing to seamlessly integrate on-premises and cloud resources, achieving the flexibility and resilience required to support mission-critical applications. The widespread adoption of microservices and serverless architectures has further elevated the importance of load balancing, as these modern development paradigms demand dynamic, adaptive traffic management to function effectively. Looking ahead, emerging trends such as edge computing, artificial intelligence, and machine learning are poised to enhance load balancing capabilities even further, enabling autonomous systems that can optimise routing in real time with minimal human intervention. This evolution promises to deliver even greater efficiency, security, and reliability, cementing load balancing as an indispensable component of modern network infrastructure.<\\/p>\"}"
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