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Fixing ORM Slowness by 80% with Strategic PostgreSQL Indexing

Modern applications heavily rely on ORMs (Object-Relational Mappers) for rapid development. While ORMs accelerate development, they often generate queries that are not fully optimized for database performance. In such environments, database engineers have limited control over query structure, leaving indexing and database tuning as the primary performance optimization tools.
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PostgreSQL Materialized Views: When Caching Your Query Results Makes Sense (And When It Doesn’t)

Your dashboard queries are timing out at 30 seconds. Your BI tool is showing spinners. Your users are refreshing the page, wondering if something's broken. You've indexed everything. You've tuned shared_buffers. You've rewritten the query three times. The problem isn't bad SQL - it's that you're forcing PostgreSQL to aggregate, join, and scan millions of rows every single time someone opens that report.
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