How to Implement Distributed Locking with Redis 8 and Go 1.23 for Microservices Distributed locking is a critical pattern for microservices architectures to prevent race conditions when multiple services access shared resources. This guide walks through implementing a robust distributed lock using Redis 8’s new features and Go 1.23’s improved concurrency primitives. What Is Distributed Locking? In a monolithic application, in-memory locks (like Go’s sync.Mutex ) prevent concurrent access to shared resources. For microservices deployed across multiple nodes, these local locks fail because they don’t coordinate across processes. Distributed locking solves this by using a shared, centralized store (Redis) to manage lock state consistently across all service instances. Common use cases include updating shared database records, processing idempotent messages, and managing limited resource allocation (e.g., seat booking). Why Redis 8 for Distributed Locking?…