{"id":23596507,"url":"https://github.com/anshumansinha3301/load-balancer-system-design-","last_synced_at":"2026-01-24T00:10:08.482Z","repository":{"id":269853053,"uuid":"908659378","full_name":"anshumansinha3301/Load-Balancer-System-Design-","owner":"anshumansinha3301","description":"A load balancer is a critical component in modern distributed systems and web architecture. 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Its primary function is to \ndistribute incoming network traffic across multiple servers, \nensuring reliability, scalability, and optimal resource \nutilization. \n\n\n1. What is a Load Balancer? \nA load balancer acts as an intermediary between clients and \nbackend servers. It receives client requests, determines the \nmost suitable server to handle each request, and forwards it \naccordingly. This prevents any single server from becoming a \nbottleneck or failing under heavy traffic. \n\n\n2. Importance of Load Balancers - High Availability: Load balancers detect server failures and \nreroute traffic to healthy servers, ensuring minimal downtime. - Scalability: They enable horizontal scaling by distributing \nworkloads across additional servers as demand grows. - Performance Optimization: Load balancers distribute requests \nevenly, preventing server overload and reducing response \ntimes. \n- Security: By acting as a gateway, they can block malicious \ntraffic, enforce SSL/TLS encryption, and protect against DDoS \nattacks. \n\n\n3. Types of Load Balancers \n1. Hardware Load Balancers: - Dedicated physical devices. - High performance but expensive and less flexible. \n2. Software Load Balancers: - Software applications deployed on standard hardware or \nvirtualized environments. - Flexible, cost-effective, and widely used. \n3. Cloud Load Balancers: - Provided as a service by cloud providers like AWS, Azure, \nor Google Cloud. - Fully managed, highly scalable, and integrates with cloud \necosystems. \n\n\n4. Load Balancing Algorithms - Round Robin: Distributes requests sequentially among \nservers. - Least Connections: Directs traffic to the server with the \nfewest active connections. \n- Weighted Round Robin: Allocates traffic based on server \ncapacity or weight. - IP Hashing: Routes requests based on client IP address for \nsession persistence. \n\n\n\n5. Features of Load Balancers - Health Monitoring: Periodically checks server health and \nroutes traffic away from unresponsive servers. - SSL Termination: Offloads SSL/TLS decryption, reducing \nserver overhead. - Session Persistence: Ensures requests from a client are \ndirected to the same server. - Auto-Scaling Integration: Automatically adjusts server pools \nbased on demand. \n\n\n6. Use Cases - Web Applications: Handles high traffic websites and ensures \nuptime. - APIs: Manages API traffic for microservices architecture. - Media Streaming: Distributes high bandwidth requests for \nvideo and audio. \n\n\n\n7. Challenges and Best Practices - Proper Configuration: Misconfigurations can lead to uneven \ntraffic distribution. - Monitoring: Regularly monitor load balancer performance to \nidentify bottlenecks. - Scaling: Ensure adequate backend server capacity for \nunexpected traffic surges. \n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fanshumansinha3301%2Fload-balancer-system-design-","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fanshumansinha3301%2Fload-balancer-system-design-","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fanshumansinha3301%2Fload-balancer-system-design-/lists"}