Message Broker Migration Checklist

When to Use This Checklist

Use this checklist when migrating messaging workloads to a different broker, for example from RabbitMQ to Kafka or to a managed cloud equivalent. Brokers differ in delivery semantics, ordering, and partitioning, so a migration is not a simple endpoint swap. This checklist preserves correctness while moving producers and consumers to the new platform.

How to Use This Checklist

Start with a full inventory of topics, queues, and traffic, then carefully compare delivery and ordering guarantees, since these often differ between brokers. Confirm a schema registry on the target and keep consumers idempotent throughout. Use a dual-write or bridge strategy so both brokers run during transition, reconcile message counts during overlap, and keep a rollback path. Decommission the old broker only after a clean overlap period proves the new one.

What Good Looks Like

A safe broker migration begins with a complete inventory and an explicit comparison of delivery semantics and ordering. Schemas are mapped to a registry on the target, and consumers remain idempotent. A dual-write or bridge runs both brokers during transition, dead-letter handling and retention are configured, and load tests confirm throughput. Lag and health are monitored, message counts are reconciled during overlap, and a rollback is ready.

Common Pitfalls

The biggest trap is assuming two brokers behave identically; differences in ordering and delivery semantics silently change application behavior. Cutting over without dual-write risks message loss during transition. Forgetting idempotency causes duplicate processing as messages flow through both systems. Skipping count reconciliation hides dropped messages. Finally, decommissioning the old broker too early leaves no fallback.

Related Resources

Review Kafka streaming best practices, schema evolution with a registry, blue-green deployment, the saga pattern, and structured logging.