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Load Balancing Algorithms Clearly Explained 🔥

Load balancing distributes network traffic or workloads across multiple servers to prevent overload on any single server. These 6…

Rahul Soni in Level Up Coding · 2025-05-13 11:06 · 0 claps · 1.8 min read paywalled
#load-balancing-algorithm #round-robins #network-traffic #servers #algorithms
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Load Balancing Algorithms Clearly Explained 🔥

Load balancing distributes network traffic or workloads across multiple servers to prevent overload on any single server. These 6 algorithms define how that distribution happens:

🔷 Round Robin (RR) ▪️ Cycles through servers sequentially. ▪️ Best for non-session-persistent workloads. ▪️ Simple but assumes equal server capacity, which can cause imbalance.

Request 1 → Server A  
Request 2 → Server B  
Request 3 → Server C  
Request 4 → Server A ...

🔷 Random ▪️ Distributes traffic randomly across servers. ▪️Works well in test environments or when balancing precision isn’t critical. ▪️Over time, traffic balances statistically.

🔷 Least Connections (LC) ▪️Directs requests to the server with the fewest active connections. ▪️Great for applications with variable session lengths. ▪️Requires real-time monitoring for efficiency.

🔷 Weighted Round Robin (WRR) ▪️Extends Round Robin by assigning weights to servers. ▪️Distributes more requests to higher-capacity servers. ▪️Useful when servers have different processing power.

⚖️ Example:

  • Server A (weight 3), Server B (weight 1) → A gets 3 requests, B gets 1, and so on.

🔷 IP Hash ▪️Maps requests to servers based on client IP. ▪️Ensures session persistence without cookies. ▪️May cause imbalance if some IPs dominate traffic.

🔷 Least Response Time (LRT) ▪️Sends traffic to the server with the lowest response time. ▪️Best for latency-sensitive applications. ▪️Requires constant performance monitoring.

⚠️ Best Practices for Implementation ▪️Real-time monitoring: Ensure server health and performance tracking. ▪️Failover strategies: Plan for seamless recovery during failures. ▪️Dynamic adjustments: Continuously optimize weights and thresholds. ▪️Session persistence: Handle edge cases like shared NAT IPs.

⚙️ Real-World Usage

✅ TL;DR

💡 Bonus Tip: Combine Algorithms!

Many modern load balancers (like NGINX, HAProxy, AWS ALB) support custom combinations of these algorithms for smarter routing.

🚀 Mastering these will help you build scalable, fault-tolerant systems like a pro.

Want more on load balancers in NGINX, AWS, or Kubernetes? Let me know!


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