Distributed locks are critical for coordinating access to shared resources in microservices architectures. This analysis compares two popular implementations in Go: Redis-based locks using SETNX and Redlock, and etcd-based locks using its concurrency package. Redis offers simplicity and low latency but has consistency caveats under network partitions, while etcd provides stronger guarantees via Raft consensus. The choice depends on your consistency requirements and operational complexity tolerance. For most production systems, etcd is recommended for critical locks, while Redis suffices for performance-sensitive, non-critical scenarios. The post also covers common pitfalls like lock expiration and fencing tokens. This topic is essential for Go developers building reliable distributed systems.
A practical comparison of distributed lock implementations in Go using Redis and etcd, focusing on consistency guarantees and trade-offs for microservices.