Practical Postgres guides. No marketing copy — just queries, numbers, and fixes that work.
opLatencies, currentOp, the profiler and $queryStats each answer a different question. Here is the order to ask them in, and the four causes that explain almost every slow MongoDB instance.
Read →Table bloat is dead tuple accumulation that VACUUM has not yet reclaimed. At scale it inflates table size, slows sequential scans, and wastes I/O budget.
Read →Autovacuum not running means dead tuples accumulating, table bloat growing, and eventually query plans degrading. Here is how to find out why it stopped.
Read →An "idle in transaction" session is a transaction that was opened and never closed. It holds locks, blocks autovacuum, and can stall your entire database.
Read →Supabase wraps Postgres with RLS, connection pooling, and branching — each of which adds failure modes that standard Postgres debugging guides miss. This is the actual troubleshooting path.
Read →A table doing 50,000 sequential scans per hour with 2 million rows is a maintenance ticket waiting to happen. Here's how to find those tables before they become incidents.
Read →When pg_stat_activity fills up and new connections start timing out, the fix is rarely 'raise max_connections'. Here's the actual diagnosis path.
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