Database Optimization & Performance Tuning

Database performance issues compound over time — what starts as occasional slowness becomes a constant drag on your application and user experience. We take a systematic approach: profile under realistic load, identify root causes with data, and implement targeted optimizations that deliver measurable improvement.

• Performance Profiling — Analyze query execution plans, identify sequential scans, lock contention, and resource bottlenecks using database-native tools.
• Query Optimization — Rewrite slow queries, eliminate N+1 patterns, optimize joins, and restructure CTEs for 10-100x speed improvements.
• Index Engineering — Design, create, and validate indexes including composite, partial, covering, and expression indexes for your workload.
• Configuration Tuning — Optimize memory allocation, connection limits, checkpoint settings, and vacuum parameters for your hardware and workload.
• Connection Pool Optimization — Right-size connection pools, implement PgBouncer or similar pooling, and eliminate connection exhaustion.
• Monitoring Setup — Deploy pg_stat_statements tracking, slow query logging, and real-time dashboards for ongoing performance visibility.

We optimize PostgreSQL, MySQL, MongoDB, and DynamoDB using native profiling tools, pganalyze, DataDog Database Monitoring, and custom analysis scripts. Solutions include index changes, query rewrites, configuration tuning, and architectural improvements like read replicas and caching.

Applications with slow database queries, high database CPU/memory usage, connection pool exhaustion, or growing response times. Whether it's a single problematic query or systemic performance issues, we identify and fix the root causes.