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EPISODE · Aug 22, 2026 · 6 MIN

Why Database Caching Layers Need Write-Through Strategies

from Database Tech with Fexingo: SQL, NoSQL, and Data Storage Conversations · host Fexingo

In this episode of Database Tech with Fexingo, Lucas and Luna break down why write-back caching—the tempting shortcut that promises instant performance—can quietly corrupt your data. They walk through a real-world example from an e-commerce inventory system where a sudden crash turned stock levels into fiction, and explain how write-through and write-around strategies trade a little latency for a lot of safety. They also touch on cache invalidation, the thundering herd problem, and how modern systems like Redis and Memcached fit into the picture. If you've ever wondered why your database and cache sometimes tell different stories, this one's for you. #DatabaseCaching #WriteThrough #WriteBack #CacheInvalidation #Redis #Memcached #DataConsistency #TechPodcast #DatabaseTech #SoftwareEngineering #SystemDesign #DataEngineering #BusinessPodcast #FexingoBusiness #TechInsights #CacheStrategy #DataDurability #DistributedSystems Keep every episode free: buymeacoffee.com/fexingo

Episode metadata supplied by the publisher feed · Published Aug 22, 2026

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Why Database Caching Layers Need Write-Through Strategies

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This episode was published on August 22, 2026.

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