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What are some common mistakes developers make when implementing distributed locks with Redis, and how do you avoid them?

Intermediate

Answer

Common mistakes include forgetting to set an expiration time, which risks a permanently stuck lock if a process crashes, using a non unique lock value, which can lead to accidentally releasing someone else's lock, and setting an expiration time too short relative to how long the protected operation actually takes, causing the lock to expire while the work is still in progress.
-- Always combine NX and EX together,
-- and always use a unique value per lock attempt
SET mylock 'unique_id_' || RANDOM() NX EX 30
Real-world example A team debugging an intermittent data corruption issue discovers their distributed lock implementation was missing an expiration time entirely, causing occasional permanently stuck locks whenever a process crashed unexpectedly.

Common follow-ups: How do you test a distributed lock implementation for these kinds of edge cases?;What monitoring can help detect stuck or improperly released locks in production?