Redis

Apply rate limits and abuse throttles to APIs

Explains rate-limit identity, endpoint cost, login and suggestion throttles, Redis counters, user experience, and observability.

Cache API responses versus domain objects

Compares caching response-shaped read models with caching domain entities or raw database objects.

Capture dependency telemetry for SQL, Redis, and HTTP calls

Explains dependency duration, error rate, timeout rate, query tagging, Redis latency, HTTP downstream calls, and endpoint correlation.

Choose a TTL and expiration strategy for cached data

Explains how TTL choices balance freshness, load reduction, user expectations, and operational safety.

Compare cache-aside, read-through, and write-through caching

Compares cache-aside, read-through, and write-through by read and write ownership, freshness, failure behavior, invalidation, fallback, stampede control, and operational complexity.

Compare in-memory cache and distributed cache

Explains when local process memory is enough and when shared Redis-style caching is worth the extra dependency.

Distributed Caching & Redis

Redis, cache-aside, invalidation, sessions, stampedes, and cache operations.

A practical backend track covering distributed caching with Redis, cache-aside reads, TTLs, invalidation, key scope, stale data, sessions, stampedes, Redis outages, locks, rate limiting, memory pressure, and production observability.