PostgreSQL for AI workloads needs a restore-verification contract
A nightly PostgreSQL backup job finishes with exit code zero. Everyone calls the database recoverable. Months later, the archive is incomplete, the restore role is missing, and the application cannot start.
For databases connected to AI and MCP workflows, backup creation is not enough. You need a restore-verification contract.
Define the recovery promise
State the maximum acceptable data loss (RPO), recovery time (RTO), covered databases, extensions, roles, large objects, encryption keys, and dependency configuration. A daily dump implies up to a day of loss unless WAL archiving or another continuous mechanism closes the gap.
Restore into isolation
On a schedule, provision a clean environment with no access to production writes. Fetch the backup through the real credential path, decrypt it, restore it, apply required extensions, and start the same compatibility checks used by the application and MCP tools.
Do not verify by restoring over the production system. The drill must be repeatable and disposable.
Check more than row counts
Validate schema version, critical table counts, referential integrity, selected checksums, sequences, indexes, functions, extensions, roles, grants, row-level policies, and representative approved queries. Confirm that restricted tools remain restricted after recovery.
For AI access, rerun a small golden set through the MCP server for Postgres production checklist. A database that starts but exposes the wrong role or stale schema is not ready.
Measure freshness and duration
Record backup creation time, recovery point, restore start and finish, validation duration, bytes, database version, artifact checksum, and final status. Alert on backup age and on missing restore verification separately. A fresh untested backup and an old tested backup are different risks.
Exercise failure paths
Test a corrupt archive, missing encryption key, unavailable object store, incompatible PostgreSQL version, absent extension, full disk, interrupted restore, and expired credential. The runbook must identify who owns each failure and how a clean retry begins.
Return a recovery receipt
Keep artifact identity, recovery point, environment, versions, checksum, validation suite version, checks passed and failed, RPO/RTO outcome, and trace ID. Avoid copying sensitive restored rows into the report; use metadata and approved checksums.
A practical cadence
- Automate frequent isolated restores for the critical path.
- Run deeper recovery drills after schema or version changes.
- Review RPO and RTO against measured evidence.
- Test application and MCP authorization after restore.
- Retire backup artifacts only according to a documented retention policy.
Where Conexor fits
Conexor connects AI clients to databases through governed MCP tools. Recovery readiness must include the database, its access roles, approved operations, schema context, and the evidence needed to prove the restored boundary still behaves correctly.