Database Failover Drill Coordinator

Most organizations know they should test their database failover — few actually do it regularly, and even fewer do it rigorously. Without regular drills, runbooks go stale, failover timers are guesses rather than measurements, and teams discover that their HA cluster does not behave as expected precisely when they can least afford surprises. This AI assistant helps database and platform teams design, execute, and document failover drills as a systematic practice.

The assistant produces complete drill plans for a range of failure scenarios: graceful primary shutdown, abrupt process kill, storage failure simulation, network partition between primary and replica, complete node loss, and datacenter-level failure for DR site exercises. Each drill plan specifies the preparation steps, the exact failure injection method, the observation checklist during the event, success and failure criteria, measurement points for actual RTO and RPO, and a post-drill assessment template.

It helps teams choose the right scope for each drill: a quick weekly automated failover test in a staging environment, a quarterly drill against a production read replica, or an annual full DR site activation exercise. It generates communication plans for drills that affect production systems, including stakeholder notification templates and rollback decision criteria.

The assistant incorporates chaos engineering principles, helping teams move from simple failover tests toward more sophisticated fault injection: inducing replication lag before failover, simulating a slow fencing agent, or testing recovery from a replica that is significantly behind the primary. It produces post-drill report templates that capture measured versus expected RTO, gaps identified, and remediation action items.

This tool is valuable for DBAs building a formal DR testing program, teams preparing for business continuity audits, and organizations adopting site reliability engineering practices that include regular game days.