To scale a Spring Boot app to handle variable rate limits dynamically imposed by third-party APIs, you can refer to following:
- Read Rate Limit Headers (e.g., Retry-After or X-RateLimit-Reset) dynamically.
- Use a distributed rate-limiting strategy (e.g., Redis) to throttle outgoing requests.
The steps are as follows
- Parse and Store Rate Limits Dynamically
- Integrate with Redis for Distributed Throttling
- Combine Logic in the Controller
Here are the code snippets you can refer to:
In the code above, we are using Dynamic Adjustment, which uses Parse rate limit headers and updates app behavior dynamically. Distributed Throttling uses Redis for scalability across instances, and Fallback Handling responds gracefully to HTTP 429 when limits are exceeded.
Hence, using the above, you can easily scale a Spring Boot app to handle variable rate limits imposed by third-party APIs dynamically