Feature Request: Optimize API Calls with Improved Caching for High Traffic Handling #9
Description
Feature Request: Optimize API Calls with Improved Caching for High Traffic Handling
Is your feature request related to a problem? Please describe.
As user adoption increases, API endpoints may experience performance degradation due to repeated and redundant external API calls. This can lead to:
- Increased response times
- Rate limit issues
- Higher infrastructure costs
- Reduced reliability during traffic spikes
Currently, there is limited or no structured caching strategy in place to efficiently handle high concurrency and repeated requests.
Describe the solution you'd like
Implement a robust caching layer to optimize API performance and handle high influx of users more efficiently.
Proposed improvements:
1. Introduce Multi-Level Caching
- In-memory caching (e.g., LRU cache) for short-lived frequently accessed data
- Distributed caching (e.g., Redis) for scalable production environments
2. Cache Strategy
- Use TTL-based caching for dynamic endpoints
- Use longer TTL for relatively static data
- Invalidate cache on data updates (where applicable)
- Apply per-user cache keys to avoid redundant external calls
3. Rate-Limit Protection
- Cache external API responses to reduce repeated upstream hits
- Implement request coalescing (deduplicate simultaneous identical requests)
4. Observability
- Add cache hit/miss metrics
- Monitor response time improvements
- Log upstream call frequency before and after optimization
Describe alternatives you've considered
- Scaling infrastructure vertically
- Increasing server instances
- Relying solely on external API rate limits
However, scaling without caching is inefficient and expensive. A proper caching layer reduces load and improves performance significantly.
Additional context
This optimization would:
- Improve reliability during traffic spikes
- Reduce external API dependency load
- Lower infrastructure costs
- Provide a smoother experience for end users
As user growth continues, caching is no longer optional — it becomes a core architectural requirement.