Load Balancing Strategies in YARP: A Practical Guide

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YARP (Yet Another Reverse Proxy) is a powerful tool for managing and distributing incoming API requests across multiple backend servers. Understanding its built-in load balancing strategies can help optimize your system’s performance and reliability.

Built-in Load Balancing Strategies in YARP

1. PowerOfTwoChoices:

  • Selects two random destinations and picks the one with the least assigned requests.
  • Reduces overhead compared to checking all servers.

2. FirstAlphabetical:

  • Chooses the first available server alphabetically.
  • Simple but not optimal for dynamic workloads.

3. LeastRequests:

  • Directs traffic to the server with the fewest active requests.
  • Ideal for uneven workloads.

4. RoundRobin:

  • Distributes requests sequentially across all available servers.
  • Ensures fair distribution but ignores server load.

5. Random:

  • Picks a backend server randomly.
  • Simple but unpredictable under heavy loads.

You Should Know:

Configuring YARP for Load Balancing

To apply a load balancing policy, modify your YARP configuration (appsettings.json):

{
"ReverseProxy": {
"Routes": {
"route1": {
"ClusterId": "cluster1",
"Match": { "Path": "/api/{catchall}" }
}
},
"Clusters": {
"cluster1": {
"LoadBalancingPolicy": "LeastRequests",
"Destinations": {
"server1": { "Address": "http://localhost:5001/" },
"server2": { "Address": "http://localhost:5002/" }
}
}
}
}
}

Monitoring Load Balancing Performance

Use these Linux commands to monitor server load:

 Check CPU and memory usage 
top 
htop

Monitor network traffic 
iftop -i eth0

Track active HTTP connections 
netstat -tuln | grep :80 

For Windows:

 Check active connections 
Get-NetTCPConnection -State Established

Monitor CPU/memory 
Get-Counter '\Processor(_Total)\% Processor Time' 

Scaling with Docker

Deploy YARP in a container for horizontal scaling:

docker run -d -p 8080:80 --name yarp_proxy your_yarp_image 

Further Reading

What Undercode Say

Load balancing is critical for high-availability systems. YARP simplifies this with flexible policies, but always monitor performance using tools like htop, netstat, or PowerShell commands. Combine YARP with Docker for scalable deployments, and fine-tune policies based on real-world traffic patterns.

Expected Output:

A configured YARP instance distributing traffic efficiently across backend servers using the selected load balancing strategy.

References:

Reported By: Milan Jovanovic – Hackers Feeds
Extra Hub: Undercode MoN
Basic Verification: Pass ✅

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