
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.
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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 building a scalable real-time notification system using WebSockets, Redis pub/sub for multi-server broadcasting, and persistent notification storage with read tracking.

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

Master distributed caching patterns including cache-aside, write-through, read-through, and cache invalidation strategies that handle real-world consistency challenges.

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 beyond a single server — covering sticky sessions, pub/sub fan-out with Redis, connection state management, and handling reconnection gracefully at scale.

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

Explore Redis data structures beyond simple 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.