Load Balancing என்றால் என்ன?

Load balancing is the process of distributing incoming network traffic or workloads across multiple servers or resources to ensure no single server is overwhelmed, improving reliability, performance, and availability.

What is Load Balancing?

Load balancing distributes incoming requests or computational workloads across multiple servers, preventing any single server from becoming a bottleneck. A load balancer sits between clients and servers, routing each request to the most appropriate backend based on configured rules.

Load Balancing Algorithms

Common algorithms determine how traffic is distributed:

Round-robin — Requests are distributed sequentially across servers. Simple and effective when servers have equal capacity.

Least connections — Routes to the server with the fewest active connections, ideal when request processing times vary.

Weighted round-robin — Assigns more traffic to more powerful servers based on configured weights.

IP hash — Routes requests from the same client IP to the same server, useful for session persistence.

Least response time — Routes to the server with the fastest recent response time.

Types of Load Balancers

Layer 4 (Transport) — Operates at the TCP/UDP level, routing based on IP and port. Fast but cannot inspect request content.

Layer 7 (Application) — Operates at the HTTP level, routing based on URL paths, headers, cookies, or request content. More flexible but adds processing overhead.

DNS load balancing — Distributes traffic at the DNS level by returning different IP addresses for the same domain name.

Global server load balancing (GSLB) — Routes traffic across geographically distributed data centers based on user proximity.

Load Balancing in Automation

For automation platforms, load balancing ensures that workflow execution requests are distributed across available worker nodes. This prevents any single worker from being overwhelmed during peak usage, maintains consistent execution times, and provides fault tolerance — if one worker fails, the load balancer routes to healthy ones.

இது ஏன் முக்கியம்

Load balancing is essential for any automation platform that needs to handle concurrent workflows reliably. Without it, a surge in workflow executions would overwhelm a single server, causing timeouts, failures, and degraded performance for all users.

Autonoly இதை எவ்வாறு தீர்க்கிறது

Autonoly's execution infrastructure uses load balancing to distribute workflow executions across multiple containerized workers. When you schedule concurrent automations or multiple users trigger workflows simultaneously, the platform automatically routes each execution to an available worker with sufficient resources.

மேலும் அறிக

எடுத்துக்காட்டுகள்

An automation platform distributing 100 concurrent web scraping jobs across 10 worker servers using least-connections routing.
A reverse proxy (Nginx) distributing API requests across three application servers with health checks that remove unresponsive servers from the pool.
A global load balancer routing workflow executions to the nearest data center based on the user's geographic location to minimize latency.

அடிக்கடி கேட்கப்படும் கேள்விகள்

What is the difference between a load balancer and a reverse proxy?

A reverse proxy sits in front of servers and handles all incoming requests, providing functions like SSL termination, caching, and compression. A load balancer is a specific function that distributes traffic across multiple servers. Many tools (like Nginx and HAProxy) serve as both reverse proxies and load balancers simultaneously.

How does load balancing handle server failures?

Load balancers perform health checks — periodic probes to each backend server. When a server fails to respond, the load balancer marks it as unhealthy and stops routing traffic to it. Once the server recovers and passes health checks again, it is returned to the active pool. This provides automatic fault tolerance.

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