Load Balancing

Published date: April 15, 2024, Version: 1.0

 Load balancing techniques ensure that no single resource becomes overwhelmed by the incoming load, thereby preventing performance degradation and potential outages.This section explores load balancing strategies and provides guidance on configuring and monitoring load balancers effectively.

Importance of Load Balancing

  • Scalability: Load balancing enables horizontal scaling by adding more resources to handle increasing loads. It allows systems to accommodate higher traffic demands by distributing the workload effectively
  • Performance Optimization: By evenly distributing requests, load balancing prevents individual resources from becoming overwhelmed, optimizing response times and improving overall system performance
  • High Availability: Load balancers distribute traffic across multiple resources, providing fault tolerance and ensuring that if one resource fails, others can seamlessly handle the traffic, reducing the impact of failures and enhancing system availability

Load Balancing Strategies

  • Round Robin: Requests are distributed across resources sequentially in a circular order. This strategy is simple and evenly distributes the load, but it doesn't consider the resources' current capacity or health
  • Least Connections: Requests are routed to the resource with the fewest active connections at the time. This strategy helps balance the load based on the current workload of each resource
  • Weighted Round Robin: Each resource is assigned a weight, indicating its capacity to handle requests. Resources with higher weights receive more traffic, allowing for better utilization of higher-capacity resources
  • Session Persistence: Requests from the same client are consistently directed to the same resource to maintain session state. This strategy is useful when maintaining user sessions or session data is necessary
  • Dynamic Load Balancing: Load balancers dynamically adjust the distribution of traffic based on real-time monitoring of resource capacities and performance. This approach allows for intelligent and adaptive load balancing.

Configuring and Monitoring Load Balancers

  • Health Checks: Configure health checks to monitor the health and availability of backend resources. Health checks ensure that only healthy resources receive traffic
  • Scaling and Elasticity: Design load balancers to scale horizontally as the traffic increases. Configure load balancers to automatically add or remove resources based on predefined thresholds
  • Monitoring and Alerting: Implement monitoring and alerting systems to track the load balancer's performance, backend resource status, and traffic distribution. Set up alerts to notify SRE teams of any anomalies or resource capacity issues
  • SSL/TLS Termination: If load balancers handle SSL/TLS termination, ensure they are properly configured with valid certificates and strong security protocols.
  • Network Traffic Distribution: Understand and configure load balancing algorithms to ensure efficient distribution of traffic. Consider factors such as source IP hashing, session affinity, or other load balancing methods based on the application's requirements
  • Load Balancer Redundancy: Implement redundancy and failover mechanisms for load balancers to ensure high availability. Redundant load balancers can take over if a primary load balancer fails, minimizing the impact on the system's availability