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Jun 15, 2026 7 min

How Database Lock Contention Kills Concurrency

from Database Tech with Fexingo: SQL, NoSQL, and Data Storage Conversations Hosted by Fexingo

In episode 53 of Database Tech with Fexingo, Lucas and Luna dive into a silent concurrency killer: database lock contention. Using a real-world example of an e-commerce platform's inventory system crashing under Black Friday load, they explain the difference between optimistic and pessimistic locking, how lock escalation turns row-level locks into table locks, and why even read queries can block under snapshot isolation. They walk through practical mitigation strategies, including deadlock prevention, lock timeouts, and index alignment. Listeners learn one concrete diagnostic: query sys.dm_tran_locks on SQL Server or pg_locks on PostgreSQL to spot lock chains. If you've ever seen a production database grind to a halt under concurrent writes, this episode explains why and what to do about it. #LockContention #DatabaseConcurrency #SQLServer #PostgreSQL #OptimisticLocking #PessimisticLocking #DeadlockPrevention #LockEscalation #SnapshotIsolation #TransactionIsolation #DatabasePerformance #BlackFriday #ECommerce #Technology #FexingoBusiness #BusinessPodcast #DatabaseTech #ConcurrencyControl Keep every episode free: buymeacoffee.com/fexingo

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How Database Lock Contention Kills Concurrency

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This episode is 7 minutes long.

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This episode was published on June 15, 2026.

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