Feature Service
Redis Caching Layer
We add Redis for selected expensive reads, design cache keys and TTLs, handle invalidation, and verify that cached responses stay correct.
RedisNode.jsUpstashPostgres
Fixed starting scope
Each feature starts with a clear base package, then grows only if your app needs more integrations, screens, or edge cases.
Integrated into your code
We adapt implementation to your stack instead of dropping a generic snippet that still needs hours of cleanup.
Handoff included
You get implementation notes, environment variables, testing notes, and what to watch before pushing to production.
Included
What you get
Redis client setup.
Cache wrapper for selected endpoints.
Key naming and TTL strategy.
Invalidation points for writes.
Cache hit/miss logging.
Approach
How we implement it
1
Choose endpoints with expensive repeated reads.
2
Add Redis configuration and connection handling.
3
Wrap selected queries with get/set cache behavior.
4
Invalidate affected keys after mutations.
5
Verify freshness and performance improvements.