Zero-Downtime Postgres Migrations: The Three Patterns That Cover Most Cases
Zero-downtime migrations work when you split correctness from rollout: expand, backfill, dual-read or dual-write, validate, switch, then clean up.
Notes for the problems that show up after launch: bad plans, awkward migrations, index debt, vacuum pressure, replica lag, and the small decisions that keep PostgreSQL, MySQL, MariaDB, and SQL Server easier to operate.
Find the queries dragging your Postgres down, read their plans, and fix them in order of impact.
Read the guide →Which indexes to add, which to drop, and how to spot redundant index debt before it costs you writes.
Read the guide →How autovacuum works, when it falls behind, and how to keep bloat from eating your storage and your buffer cache.
Read the guide →Sizing pools, PgBouncer modes, and how to stop idle-in-transaction sessions from exhausting max_connections.
Read the guide →Track lag, WAL throughput, and replication slots before they turn into stale reads or a full disk.
Read the guide →
Backups, restores, PITR, archive gaps, and recovery drills for PostgreSQL.
AWS RDS, Azure Database for PostgreSQL, Google Cloud SQL, AlloyDB, and managed PostgreSQL monitoring notes.
Connection storms, pool saturation, PgBouncer behavior, and max_connections pressure.
CPU, memory, disk, temp files, checkpoints, buffers, and workload pressure.
Index design, index debt, reindexing, constraint indexes, and evidence-driven DDL.
Lock waits, deadlocks, blocking chains, idle transactions, and transaction hygiene.
Galera clustering, InnoDB and Aria internals, replication, optimizer behavior, and MariaDB operations notes.
InnoDB internals, replication, locking, query performance, and MySQL operations notes.
HNSW, IVFFlat, recall, embedding search, and production RAG performance notes.
Replica lag, WAL growth, failover readiness, hot standby behavior, and replication slots.
Query plans, EXPLAIN ANALYZE, planner regressions, pagination, joins, and statistics.
Wait statistics, tempdb, Query Store, Always On availability groups, and SQL Server operations notes.
Autovacuum, dead tuples, bloat, wraparound, MVCC, freeze age, and visibility.
Zero-downtime migrations work when you split correctness from rollout: expand, backfill, dual-read or dual-write, validate, switch, then clean up.
VACUUM problems are cleanup debt. Dead tuples, bloat, frozen XIDs, and autovacuum lag turn normal queries into incident material when nobody is watching.
Long transactions quietly hold back vacuum, keep locks alive, exhaust pools, and make old row versions stick around long after users moved on.
Read Committed, Repeatable Read, Serializable. The textbook treatment puts most readers to sleep. Here is what each one actually means for your application.
Deadlocks are the symptom of a design that allows two transactions to hold each other's locks. The fix is rarely retry logic. Here is what to look for instead.
ALTER TABLE is dangerous when you review syntax instead of locks. Some changes are instant, some queue behind writes, and some rewrite the whole table.
Transaction ID wraparound is rare, dramatic, and entirely avoidable. Here is what FREEZE actually does, and the autovacuum settings that keep you out of single-user mode.
Bloat measurement is useful only when it changes a cleanup decision. Learn when estimates are good enough, when pgstattuple is worth the cost, and what action follows.
Postgres memory tuning is a budget problem. shared_buffers, OS cache, work_mem, maintenance work, and connection count all spend the same RAM.
Disk-full on a Postgres server is rarely just one thing. WAL, temp files, logs, and delayed cleanup arrive together. The recovery is mostly about what you prepared before.