Distributed locks with Python and Redis
summary
Implements production-ready distributed locking for a contact center: Python task manager (Twisted) coordinates workers and uses a single Redis instance as the locks server. Claims a working Redis strings + WATCH/MULTI/EXEC mutex for worker busy/idle state, a list-based semaphore with RPUSH/BRPOP to allow N simultaneous tasks, and a Lua script for atomic release and length return to avoid race conditions; warns against blocking calls inside MULTI/EXEC and stresses startup/restore procedures for consistency.
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