Load Balancers Vs API Gateways
Great question β many developers confuse Load Balancers and API Gateways because they both sit in front of backend services. However, they serve different roles in an application architecture.
π§ Quick Difference:
Feature | Load Balancer | API Gateway |
---|---|---|
Purpose | Distributes traffic evenly to servers | Manages, routes, and controls APIs |
Scope | Network-level traffic distribution | Application-level request management |
Works With | Any kind of traffic (HTTP, TCP, etc.) | Primarily HTTP-based APIs |
Intelligence | Simple routing (layer 4 or layer 7) | Smart routing with logic (auth, versioning) |
Use Case | Balance load among multiple servers | Secure, monitor, and manage API calls |
π Load Balancer
What it does:
- Distributes incoming traffic across multiple backend servers
- Ensures high availability and fault tolerance
- Works at Layer 4 (TCP) or Layer 7 (HTTP) of OSI model
Popular tools:
Nginx, HAProxy, AWS ELB/ALB, F5, Azure Load Balancer
Example:
π§© API Gateway
What it does:
- Routes requests to specific services or endpoints
- Handles authentication, rate limiting, logging, transformations
- Supports microservices and versioning
Popular tools:
Kong, Amazon API Gateway, Apigee, NGINX (as API Gateway), Spring Cloud Gateway
Example:
π§ Key Functional Differences:
Functionality | Load Balancer | API Gateway |
---|---|---|
Load distribution | β Yes | π« Not primary function |
Authentication | π« No | β Yes |
Rate limiting | π« No | β Yes |
SSL Termination | β Yes (optional) | β Yes |
Routing by endpoint | π« No (usually URL based only) | β Yes |
Protocol Support | TCP, HTTP(S), WebSocket | HTTP(S), WebSocket only |
β When to Use:
- Use a Load Balancer to:
- Distribute requests across multiple instances of the same service
- Ensure service uptime and fault tolerance
- Improve performance via parallelism
- Use an API Gateway to:
- Manage different microservices
- Apply centralized security policies
- Expose RESTful APIs or GraphQL APIs