All Guides06-caching-locking-performance
Caching, Locking & Performance
Redis caching, distributed locks, rate limiting, and performance-focused backend patterns.
backend-engineerrediscachinglockingperformance
Caching, Locking & Performance
Optimize backend throughput and consistency using cache and lock patterns.
Key concepts
- Cache-aside and TTL-based cache invalidation.
- Distributed locking with Redis.
- Rate limiting design.
- Pub/Sub for notification and event fan-out.
Engineering focus
Minimize stale data, avoid race conditions, and use in-memory systems to reduce load on primary storage.
Interview Questions
- When should you use cache-aside instead of write-through caching?
- How does a distributed lock help prevent concurrency issues?
- What is a common Redis pattern for rate limiting?
- Why should cache invalidation be handled carefully?