Migration Strategy Prover Connector for AI agents.

Yes, it validates the specific steps like connection strings, regional latency, and data volume to ensure your move to Google Cloud SQL is production-ready.

It forces your AI agent to include MD5 checksums, row count verifications, and referential integrity checks as mandatory steps in the migration plan.

The capability will reject the plan and tell you exactly what metrics you need to define, such as error rates or latency, to ensure you have a real reversal plan.

Yes, it requires the agent to identify every upstream producer and downstream consumer by name before the migration can be approved.

It is specifically designed for high-stakes database and system migrations where data integrity and uptime are critical.

It forces the agent to list every affected team and provide a shared runbook and escalation path, so no one is surprised by a service outage.

No. It validates that your migration plan covers risk assessment, rollback, data integrity, cutover, and stakeholder alignment. It does not run scripts or move data. it forces you to prove the plan survives a production failure.

A migration strategy where you incrementally replace parts of the old system with the new one, routing traffic gradually until the old system handles zero requests. Named after strangler fig trees that grow around a host tree until it dies. It reduces blast radius because you migrate one capability at a time, with rollback at each stage.

Yes. The 5 pivots apply to any migration: database, cloud provider, monolith-to-microservices, CMS, or data warehouse. Risk assessment maps provider-specific dependencies (IAM, networking, managed services). Data integrity addresses format differences. Cutover handles DNS, CDN, and traffic shifting. The framework is migration-type agnostic.