Backup Verification and Testing
Most organizations discover their backups are broken during the outage when they need them. We implement automated backup verification — scheduled restore tests, integrity checks, and reporting — so you have confidence your backups work before disaster strikes.
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Automated Restore Testing
We build a pipeline that runs on a schedule — daily, weekly, or per-backup. It provisions a temporary compute instance (spot instance or container), downloads the latest backup, restores it, and runs validation checks. The instance is torn down after testing. Total infrastructure cost: typically $2-10/month. We support PostgreSQL, MySQL, MongoDB, Redis, filesystem backups, and Kubernetes Velero restores.
Integrity and Consistency Checks
Restore is only step one. We validate the data: checksum comparison against source, row count verification for each table, schema version validation, foreign key constraint checks, and application-specific health queries (can the app boot against this database?). For filesystem backups, we verify file counts, directory structure, and checksums of critical files. Every check produces a pass/fail result.
Alerting and Reporting
Verification results feed into your monitoring stack. Failures trigger immediate alerts — PagerDuty, Slack, email. Successes are logged with timestamps and metadata. Weekly summary reports show backup health across all systems: last successful verification, time since last backup, backup size trends, and restore duration. Auditors get a compliance report showing verified backup history.
Failure Recovery Procedures
When a verification fails, we do not just alert — we provide the runbook. Corrupt PostgreSQL backup? Re-run pg_basebackup and verify WAL continuity. S3 upload failed? Check IAM permissions and network connectivity. Restore succeeded but data is stale? Investigate replication lag and archive_command failures. Each failure mode has a documented investigation and remediation path.
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