distributed-lock

To prevent race conditions across multiple application instances, you need distributed locking mechanisms that ensure atomic lock acquisition so only one instance can access a resource at any given time. This Skill manages that process automatically.

TTL-based expiration prevents deadlocks in distributed systems by automatically releasing locks after a specified duration. If an instance crashes or stalls, the lock expires automatically, allowing other instances to acquire it and resume processing.

You can extend a distributed lock for long-running tasks using lock extension features. This allows operations that exceed the initial timeout to renew their locks, maintaining exclusive access until the processing completes successfully.

Distributed locking works with PostgreSQL for multi-instance coordination by using the database as a centralized lock store. For single instances, it uses in-memory stores, scaling up to PostgreSQL when multiple application instances need synchronization.

To ensure a cron job runs as a singleton across a cluster, implement distributed locking with atomic acquisition. This guarantees only one cluster node executes the scheduled task, preventing duplicate job execution and potential data corruption.

Background workers process the same order simultaneously due to race conditions in distributed systems. You stop this by acquiring a named distributed lock, such as 'process-order:123', which ensures exclusive access and prevents concurrent duplicate processing.