Why Database Query Caches Fail Under Write Workloads

In this episode of Database Tech with Fexingo, Lucas and Luna dig into a classic but often misunderstood database performance tool: the query cache. They explain why query caches seem like a great idea but can degrade performance dramatically in write-heavy environments, using the real-world example of MySQL's query cache, which was removed in MySQL 8.0. The episode walks through the mechanics of cache invalidation on every write, the hidden costs of write amplification, and why modern systems prefer other techniques like result-set caching at the application layer or buffer pool optimizations. If you're a developer, DBA, or data engineer wondering why your database sometimes feels slower after adding a cache, this conversation gives you the concrete mental model to make better decisions. Packed with specific numbers and practical advice, this episode will change how you think about caching in databases. #QueryCache #DatabasePerformance #MySQL #CacheInvalidation #WriteAmplification #DatabaseInternals #TechPodcast #DataEngineering #SQL #NoSQL #DatabaseTech #LucasAndLuna #FexingoBusiness #BusinessPodcast #Technology #DatabaseDesign #CacheStrategies #DataStorage Keep every episode free: buymeacoffee.com/fexingo