Master AWS Cloud Computing From Scratch

Clear, interactive, and structured AWS lessons designed for absolute beginners.

Elastic Load Balancing

Elastic Load Balancing distributes incoming traffic across registered targets such as EC2 instances or other supported resources.

Why it matters

Load balancing can improve availability and distribute workload across multiple targets.

How it works

Client → load balancer listener → target group → healthy target → response.

Real-world example: Two API servers can sit behind an Application Load Balancer so requests are distributed between healthy targets.

Core Concept

Elastic Load Balancing provides managed load balancers for different traffic patterns.

It works with health checks, listeners, target groups and routing rules.

ClientsLoad BalancerListener + RulesHealth ChecksTarget 1Target 2

What you should remember

Key idea

Elastic Load Balancing provides managed load balancers for different traffic patterns.

Key idea

It works with health checks, listeners, target groups and routing rules.

Real-world example

Use a realistic cloud workload and focus on the responsibility of this AWS service.

User → AWS service → application → data / response

Choose the service that matches the responsibility instead of forcing every workload into one resource.

# Conceptual workflow aws-service --resource example # Verify configuration → test → monitor → clean up
Practice tip: Build the smallest possible lab, verify the result, then remove resources you no longer need.

Quick Test

1 Question

What is Elastic Load Balancing used for?