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WebSockets & Real-Time Systems with Spring · Lesson

Load Balancing and High Availability

Implement load balancing and high availability solutions to ensure continuous and scalable real-time service.

Scaling Real-Time Systems

Modern real-time applications, like chat apps or live dashboards, need to handle many users without slowing down or crashing. This lesson explores two crucial concepts for achieving this: Load Balancing and High Availability.

These strategies ensure your WebSocket applications can grow with demand and remain online, even if parts of your system fail.

Distributing User Traffic

Load Balancing is about efficiently distributing incoming network traffic across multiple servers. Imagine a busy restaurant with many chefs – a load balancer is like the maître d', directing new customers to the least busy chef.

  • Prevents any single server from becoming a bottleneck.
  • Improves application responsiveness and performance.
  • Enables horizontal scaling by adding more servers.

All lessons in this course

  1. WebSockets in Microservice Architectures
  2. Cloud Deployment Strategies (AWS/GCP)
  3. Load Balancing and High Availability
  4. Sticky Sessions and WebSocket Routing
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