PostgreSQLPostgreSQL performance monitoring & automated index tuning
TrueBridging watches pg_stat_statements, autovacuum, replication, and connection activity in real time, and turns what it finds into a reviewable, one-click fix — not just another chart.
Sequential scan on orders (42M rows)
-- Built online — no write lock on the orders table
CREATE INDEX CONCURRENTLY idx_orders_customer_status
ON orders (customer_id, status)
INCLUDE (order_total, created_at);Why PostgreSQL needs purpose-built monitoring
PostgreSQL rarely crashes outright — it degrades. A table grows past the point where the planner's cached statistics are still accurate. Autovacuum falls behind on a high-churn table and bloat creeps up. A query that used an index fine at 2 million rows starts sequential-scanning at 40 million. None of this trips a hard alert; it just makes everything slower until someone notices support tickets piling up.
Generic infrastructure monitoring tools show CPU and memory graphs for the box Postgres runs on, but they don't reach into the query planner, the autovacuum daemon, or the lock manager to explain why performance is degrading. TrueBridging was built to monitor Postgres the way a senior DBA would — from the inside.
What TrueBridging watches
pg_stat_statements-driven analysis of execution time, call frequency, and I/O per normalized query, ranked by total load contribution.
Sequential scan detection against large tables, unused index identification, and index bloat estimation via catalog statistics.
Per-table dead tuple ratios, vacuum lag, and transaction ID wraparound risk, tracked before they become emergency maintenance.
Lock wait chains, deadlock detection, and connection pool saturation relative to max_connections and your pooler configuration.
Streaming replication lag and WAL generation rate across primaries and replicas, including logical replication slots.
Flags configuration parameters (shared_buffers, work_mem, autovacuum thresholds) that are miscalibrated for the observed workload.
Example
A query filtering on customer_id and status against a 42-million-row orders table has no covering index. p95 latency climbed from 40ms to 1.9 seconds over nine days as the table grew. TrueBridging detects the sequential scan, attaches the query plan as evidence, and proposes:
You approve it from the dashboard. TrueBridging applies it with CONCURRENTLY to avoid blocking writes, then re-measures p95 latency to confirm the fix worked — typically down to the 40-60ms range — before marking the issue resolved.
-- Built online — no write lock on the orders table
CREATE INDEX CONCURRENTLY idx_orders_customer_status
ON orders (customer_id, status)
INCLUDE (order_total, created_at);FAQ
Yes. TrueBridging reads pg_stat_statements, pg_stat_activity, pg_stat_user_tables, and autovacuum statistics to build query-level and table-level performance profiles without requiring any application code changes.
TrueBridging always proposes the index definition first, along with expected impact and build time. It only creates the index after you approve it, using CREATE INDEX CONCURRENTLY where supported to avoid locking writes.
TrueBridging is designed to stay under roughly 2% additional load on the monitored instance, using lightweight polling intervals and read-only queries against system catalogs and statistics views.
Yes. TrueBridging connects to self-managed PostgreSQL as well as managed offerings including Amazon RDS, Amazon Aurora PostgreSQL, Google Cloud SQL, and Azure Database for PostgreSQL.