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What is a load balancer?
sobes.tech AI
Answer from AI
Load balancer — a device or software that distributes incoming traffic across multiple servers, ensuring optimal resource utilization. It increases the availability, scalability, and fault tolerance of applications.
Working principles:
- Listening ports: Waits for requests on specific network ports.
- Traffic routing: Directs requests to available servers based on a chosen algorithm.
- Health monitoring: Checks server operability (health checks).
- Session management: Can maintain connection state for a user.
Popular load balancing algorithms:
- Round Robin: Sequentially distributes requests across servers.
- Least Connections: Sends requests to the server with the fewest active connections.
- IP Hash: Distributes traffic based on a hash of the client's IP address, always sending requests from the same client to the same server.
- Weighted Round Robin / Weighted Least Connections: Distributes traffic considering server weights.
Examples of solutions:
- Software: Nginx, HAProxy, Apache mod_proxy.
- Hardware: F5, Citrix ADC.
- Cloud: AWS ELB, Google Cloud Load Balancing, Azure Load Balancer.
Advantages:
- High availability: If one server fails, the load balancer redirects traffic to others.
- Scalability: Easily add new servers to handle increased load.
- Performance optimization: Distributes load to reduce response time.
- Enhanced security: Can perform SSL termination or act as a proxy.
In the context of QA, load balancers are important for testing:
- Performance: Testing system behavior under high load distributed by the load balancer.
- Reliability/Fault tolerance: Testing response to individual server failures.
- Correctness of load balancing algorithms: Verifying proper traffic distribution according to the chosen strategy.
- Session persistence (Sticky Sessions): Testing user session retention during request distribution.