You probably need this if…
Where you are now, and where you end up
Concrete state changes, not deliverable counts. This is what actually differs about your RabbitMQ estate when the engagement closes.
Paying enterprise licensing on a legacy broker for capability you have largely outgrown.
Running on RabbitMQ with the licensing line eliminated or substantially reduced, and a documented capability comparison showing nothing critical was lost.
No way to prove during cutover whether messages are being dropped between systems.
Parallel-run reconciliation with message-level counts on both sides, so the cutover decision is made on evidence rather than confidence.
JMS-coupled application code with broker semantics assumed throughout.
Applications migrated to AMQP with the semantic differences — acknowledgement, transactions, selectors, ordering — explicitly handled and tested.
A migration plan that requires a single high-risk weekend cutover for every application at once.
An application-by-application canary cutover with per-application rollback, so a problem affects one flow rather than all of them.
Broker infrastructure tied to physical hardware or a datacenter you are exiting.
RabbitMQ running on Kubernetes with the Cluster Operator, sized and configured for your actual throughput, portable across environments.
How it actually runs
Every phase has a defined duration and a concrete artifact handed over at the end of it. You always know what stage you're in and what you've received.
Discovery & Dependency Mapping
We inventory every queue, topic, exchange, and destination on the source broker, and — more importantly — every application that connects to it. Migrations fail on the producers and consumers nobody remembered, so this phase is deliberately exhaustive about who talks to what.
- Complete destination and topology inventory from the source broker
- Application dependency map, including forgotten and low-traffic clients
- Message volume, size, and pattern profile per flow
- Feature gap analysis between source broker and RabbitMQ
Target Design & Protocol Mapping
We design the RabbitMQ topology — exchanges, routing, queue types, and clustering — that matches your actual messaging patterns rather than mechanically translating the old one. Then we map the semantic differences: acknowledgement models, transaction behavior, message selectors, ordering guarantees, and dead-letter handling all differ between brokers in ways that surface only under load.
- Target RabbitMQ topology design with sizing
- Protocol and semantic mapping document, source to RabbitMQ
- Per-application client library and code change specification
- Risk register for behaviors that cannot be mapped one-to-one
Parallel Run & Validation
Both brokers run simultaneously with traffic mirrored to RabbitMQ. This is where the migration is actually de-risked: we reconcile message counts, compare consumer behavior, and validate throughput against real production load rather than a synthetic test. Nothing is cut over until the numbers reconcile.
- Parallel-run environment with traffic mirroring in place
- Message-level reconciliation reports across both systems
- Load and failure testing against the target cluster
- Go/no-go criteria agreed in writing before cutover
Canary Cutover & Decommission
We cut over application by application, starting with the lowest-risk flow, with rollback available at each step. Once every flow is stable on RabbitMQ and a defined soak period passes, we help you decommission the source broker and stop the licensing.
- Staged per-application cutover with rollback at each stage
- Post-cutover monitoring and validation for each flow
- Source broker decommissioning plan
- Operational runbook and handover to your team
What's covered
Real RabbitMQ Results
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Questions about RabbitMQ migrations
Talk to a RabbitMQ Expert
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305-204-2607info@acemq.comMiami, FL 33130
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