QueryDrift: SQL Query Performance Regression Tracker
Monitors SQL query execution times across deployments to alert engineers when queries silently degrade in production.
The Problem
Engineering teams deploy code changes that accidentally slow down database queries by 10-40%, but they don't notice for weeks because query performance monitoring is either non-existent or requires expensive enterprise APM tools. By the time they discover the regression, thousands of slow queries have already hit production, degrading user experience and increasing infrastructure costs.
Target Audience
Mid-market SaaS companies (50-500 engineers) with PostgreSQL or MySQL databases who deploy multiple times weekly but lack DataDog/New Relic-level observability.
Why Now?
AI-powered code generation tools increase deployment frequency and risk of accidental query regressions; teams need lightweight, continuous regression detection without expensive APM contracts.
What's Missing
Existing tools require manual query whitelisting or expensive per-transaction pricing; no lightweight tool specifically detects query performance deltas across git commits or deployment timestamps.
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