Open Data Infrastructure
Lakekeeper Backup and Recovery for Iceberg Catalogs
Backup and recovery questions for Lakekeeper Iceberg catalogs across metadata durability, audit, credentials, and restore tests.
An open catalog that nobody can restore is not a control plane. It is a single point of regret with better branding.
The practical problem
Lakekeeper gives teams an open Iceberg REST catalog option. That is useful for ODI because the catalog boundary can be inspected, operated, and tested. It also means recovery is now the platform team job.
Catalog backup is not the same as object storage backup. The table data can still exist while catalog state, authorization configuration, credentials, or audit context is broken. Recovery planning has to cover all of those pieces.
Core idea: Lakekeeper backup and recovery should protect table reachability, authorization meaning, and audit evidence, not only database bytes.
The recovery surface
Start with the catalog database. Operators need backups, restore procedures, version compatibility checks, and a test cadence. A restore procedure that nobody has run is a document, not a capability.
Then check authorization state. If the catalog integrates with policy systems, role mappings, or identity providers, recovery has to restore the meaning of those policies. A restored catalog that grants different access is a security incident wearing an operations costume.
Credential rotation is part of recovery. When a token, secret, or storage credential is suspected in an incident, the runbook should explain how to rotate credentials without turning every engine into a manual ticket queue.
What breaks first
- Backups exist, but restore has never been tested against real engine traffic.
- The catalog database is restored, but identity and authorization configuration drifted.
- Audit history is not retained long enough to explain what happened before the failure.
- Table metadata and object storage are durable, but namespaces and table registration cannot be reconstructed confidently.
Questions to ask
Use these questions in a Lakekeeper recovery review.
- What is the restore time objective for the catalog service?
- Which dependencies must be restored before engines can reconnect?
- How do you prove restored authorization matches pre-incident authorization?
- Which audit records survive a catalog restore?
- How often does the team run a restore drill with real clients?
For more operating context, read Iceberg REST Catalog Operational Runbooks, SLAs and Reliability for Open Data Platforms, and What a Catalog Does in the Open Lakehouse.
Sources to start with
The Lakekeeper docs explain the service. The ODI work is turning that service into recoverable infrastructure.