Glossary

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Glossary / Evaluation and implementation guide

Distributed Locking

Distributed locking coordinates access to a resource across separate processes or machines. A worker acquires a lock before entering a protected operation, while competing workers wait, fail or retry.

Correctness depends on the lock service and on whether the destination rejects work from a holder whose authority has expired.

A practical example

Example: two integrations try to update the same account owner. A lock serializes their decision step, and a version check rejects an outdated write.

Separate idempotency records prevent a retried event from repeating an already completed action.

What to evaluate before investing

  • Check the lock scope, acquisition rules and behavior during network partitions.
  • Test lease expiry while the original worker is still running, including stale writes.
  • Ask how fencing tokens or destination version checks complement the lock.

Limitations and tradeoffs

A lock alone does not guarantee exactly-once processing or prevent sequential duplicate actions. Expiry, clock assumptions and delayed workers need explicit handling, and some workflows are better served by transactions or optimistic concurrency.

Plan your next step with MeshLine

Connect this decision to your automation, organic marketing and customer lifecycle management. In a MeshLine demo, discuss your existing tools, the scope you need and how to measure the result.