Audit
Analysis of postgresql.conf and pg_hba.conf configurations, review of pg_stat_statements and pg_stat_user_tables, assessment of bloat, indexes, autovacuum, and backup status. The result is a report with a prioritized list of issues and recommendations.
Plan
Prioritizing changes based on performance impact and deployment risks. Quick wins (shared_buffers, work_mem, missing indexes) first; larger changes (partitioning, replication, PgBouncer) with a schedule and rollback scenario.
Implementation
Tuning server parameters, adding indexes (B-tree, GIN, GiST, BRIN), tuning autovacuum, configuring connection pooling or replication. Changes are made gradually, with metrics measured before and after – every optimization has a measured effect.
Monitoring
Continuous 24/7 monitoring of key metrics: transactions per second, cache hit ratio, slow queries, dead tuples, bloat, active connections, replication lag. Alerts and response before a problem impacts the application.
Reporting
Periodic reports with performance metrics, a list of completed actions, and recommendations for the next period. The client always knows the state of their database and what we plan next.