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Load balancing algorithms. How to choose a specific service instance?

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Answer from AI

Load balancing is the distribution of incoming requests across multiple service instances to improve fault tolerance and performance.

Main load balancing algorithms:

  • Round Robin — requests are sequentially directed to each instance in a circular manner.
  • Least Connections — the instance with the fewest active connections is chosen.
  • IP Hash — the instance is selected based on a hash of the client's IP, ensuring session persistence on the same server.
  • Weighted Round Robin / Least Connections — consider the weight of the instance (e.g., capacity).

The choice of a specific instance depends on the requirements:

  • If uniform load distribution is important — Round Robin.
  • If instances differ in capacity — Weighted algorithms.
  • To maintain session persistence — IP Hash.
  • To minimize delays — Least Connections.

Example in C# (simplified Round Robin):

class LoadBalancer
{
    private readonly List<string> _instances;
    private int _lastIndex = -1;

    public LoadBalancer(List<string> instances)
    {
        _instances = instances;
    }

    public string GetNextInstance()
    {
        _lastIndex = (_lastIndex + 1) % _instances.Count;
        return _instances[_lastIndex];
    }
}

This class cyclically returns the next instance from the list.