What are the trade-offs of using API Gateway-based rate limiting e g AWS API Gateway or NGINX versus application-level rate-limiting in Spring

Question

Can you tell me the trade-offs between using API Gateway-based rate limiting (e.g., AWS API Gateway or NGINX) and application-level rate limiting in Spring?

Answer 1

Here are the ways you can follow the trade-offs Between API Gateway-Based and Application-Level Rate Limiting:

1. API Gateway-Based Rate Limiting (e.g., AWS API Gateway, NGINX)

• Pros:
  • Offloads rate-limiting logic from your application.
  • Centralized management for multiple services.
  • Highly scalable and can handle large traffic.
  • Native support for burst control and distributed environments.
• Cons:
  • Limited flexibility for custom rules and logic.
  • Dependency on external infrastructure.
  • Latency may increase due to added network hops.

Here is the code snippet showing the AWS Gateway in json:

2. Application-Level Rate Limiting in Spring

• Pros:
  • Fully customizable and adaptable to specific business logic.
  • No dependency on external infrastructure.
  • Can integrate with existing application-level data like user roles or API keys.
• Cons:
  • Increases application complexity.
  • Scalability challenges in distributed systems (requires external coordination like Redis).

Here is the code snippet showing in Java:

Hence, these are the trade-offs of using API Gateway-based rate limiting, e.g., AWS API Gateway or NGINX, versus application-level rate limiting in Spring.