Caching & Redis Standards
Priority: P1 (OPERATIONAL)
Caching strategies and Redis integration patterns for high-performance NestJS applications.
Caching Strategy
- •Layering: Use Multi-Level Caching for high-traffic read endpoints.
- •L1 (Local): In-Memory (Node.js heap). Ultra-fast, no network. Ideal for config/static data. Use
lru-cache. - •L2 (Distributed): Redis. Shared across pods.
- •L1 (Local): In-Memory (Node.js heap). Ultra-fast, no network. Ideal for config/static data. Use
- •Pattern: Implement Stale-While-Revalidate where possible to avoid latency spikes during cache misses.
NestJS Implementation
- •
Library: Use
cache-managerwithcache-manager-redis-yet(Recommended overcache-manager-redis-storefor better V4 support and stability). - •
Interceptors: Use
@UseInterceptors(CacheInterceptor)for simple GET responses.- •Warning: By default, this uses the URL as the key. Ensure consistent query param ordering or custom key generators.
- •
Decorators: Standardize custom cache keys.
typescript@CacheKey('users_list') @CacheTTL(300) // 5 minutes findAll() { ... }
Redis Data Structures (Expert)
- •Don't just use
GET/SET. - •Hash (
HSET): Storing objects (User profiles). Allows partial updates (HSET user:1 lastLogin result) without serialization overhead. - •Set (
SADD): Unique collections (e.g., "Online User IDs"). O(1) membership checks. - •Sorted Set (
ZADD): Priority queues, Leaderboards, or Rate Limiting windows.
Invalidation Patterns
- •Problem: "There are only two hard things in Computer Science: cache invalidation and naming things."
- •Tagging: Since Redis doesn't support wildcards efficiently (
KEYSis O(N) - bans in PROD), use Sets to group keys.- •Create:
SADD post:1:tags cache:post:1 - •Invalidate: Fetch tags from Set, then
DELusage keys.
- •Create:
- •Event-Driven: Listen to Domain Events (
UserUpdated) to trigger invalidation asynchronously.
Stampede Protection
- •Jitter: Add random variance to TTLs (e.g., 300s ± 10s) to prevent all keys expiring simultaneously.
- •Locking: If a key is missing, one process computes it while others wait or return stale. (Complex, often handled by
swrlibraries).