
Distributed Locks: Coordinating Work Across Multiple Nodes
Stop racing conditions in distributed systems: a practical guide to implementing distributed locks with Redis and PostgreSQL advisory locks in Node.js.
Tags
10 articles

Stop racing conditions in distributed systems: a practical guide to implementing distributed locks with Redis and PostgreSQL advisory locks in Node.js.

A step-by-step tutorial for a scalable real-time notification system: WebSockets, Redis pub/sub for multi-server broadcast and persistent read tracking.

A deep dive into token bucket, sliding window and leaky bucket rate limiting, with distributed implementations in Redis and practical middleware patterns.

Distributed caching patterns in depth: cache-aside, write-through, read-through and the invalidation strategies that survive real consistency demands.

Build a production-ready task queue step by step using Node.js and Redis, covering reliable delivery, retries, dead letter queues, and concurrency control.

How to scale WebSocket connections past a single server: sticky sessions, pub/sub fan-out with Redis, connection state and graceful reconnection at scale.

A step-by-step tutorial for rate limiters using token bucket, sliding window and fixed window — with TypeScript, Redis integration and production patterns.

Redis data structures beyond strings: sorted sets for leaderboards, streams for event logs, HyperLogLog for cardinality and bitmaps for feature flags.

Token buckets, sliding windows, and distributed rate limiting — practical patterns to protect your API without degrading the experience for legitimate users.

From HTTP headers to Redis patterns, a practical guide to caching layers that reduce latency and database load without serving stale data.