Why Database Scaling Fails Without Query Analysis

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Why Database Scaling Fails Without Query Analysis

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In this episode, Lucas and Luna dive into the silent killer of database performance: unoptimized queries that go unnoticed until the database is under real load. They examine a real-world case where a company's PostgreSQL instance ground to a halt because a single query was scanning millions of rows every five seconds — and how enabling pg_stat_statements and analyzing query patterns turned a 30-second query into 50 milliseconds. The hosts discuss why most teams focus on hardware scaling before looking at query behavior, the difference between sequential scans and index scans, and three practical steps to start query analysis today. Perfect for engineers, data architects, and anyone who's ever watched a database melt down during a traffic spike. #DatabaseScaling #QueryAnalysis #PostgreSQL #pg_stat_statements #SlowQueries #DatabasePerformance #SQL #Indexing #SequentialScan #DatabaseOptimization #BackendEngineering #DataEngineering #TechPodcast #DatabaseTips #PerformanceTuning #FexingoBusiness #BusinessPodcast #Technology Keep every episode free: buymeacoffee.com/fexingo

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