Release & Deployment Cutover Checklist

When to Use This Checklist

Use this checklist for any controlled cutover: switching production traffic from an old release to a new one, migrating from one platform to another, or moving a database. A cutover is the moment of highest risk in a migration because the system changes state under real load. The checklist exists to sequence that change, validate each step, and keep an escape hatch open.

How to Use This Checklist

Treat the cutover as a choreographed sequence, not a single switch. Each step should have an owner, an expected outcome, and a checkpoint where you confirm the system is healthy before continuing. The two non-negotiable anchors are a verified backup taken before you start and a rehearsed, time-bound abort path. Decide in advance how long you will wait for healthy signals before aborting, and write that threshold down.

Keep the old release warm. The single most useful rollback is simply routing traffic back to the system you just left, and that only works if you have not torn it down.

What Good Looks Like

A clean cutover runs to a published timeline during a change freeze. Traffic shifts through reversible routing changes rather than destructive ones. Smoke tests and golden-signal dashboards confirm health within minutes, and a go/no-go checkpoint precedes any irreversible step such as decommissioning. Where old and new systems ran in parallel, data is reconciled before the old one is retired. Decommissioning happens only after a soak period proves the new release is stable.

The team finishes with a clear status broadcast to support and stakeholders, so everyone knows the new system is authoritative.

Common Pitfalls

The most damaging mistake is deleting or scaling down the old environment too soon, removing the easiest rollback. Cutovers also fail when routing changes are destructive and hard to reverse, or when no backup was taken before a schema or data change. Skipping the go/no-go checkpoint before decommissioning turns a recoverable hiccup into an outage. Finally, cutovers without a written abort threshold tend to drift, with the team hoping problems will resolve while user impact grows.

Related Resources

Use blue-green or canary patterns to make routing reversible, and the strangler-fig and expand-and-contract patterns for incremental, low-risk migration cutovers. Watch the four golden signals to judge health objectively.