Migration services
Trusted by industry-leading enterprise companies around the world.
Choose your migration journey
Every migration path comes with the same zero-message-loss guarantee and a dedicated Apache contributor as your lead engineer. Whether you’re modernizing from legacy brokers or optimizing within the ActiveMQ® ecosystem, we handle the complexity.
IBM MQ → ActiveMQ®
Migrate from IBM MQ to Apache ActiveMQ® or Artemis™. We handle MQ Series message format translation, queue topology redesign, and transaction bridging for zero downtime cutover.
RabbitMQ → Artemis™
Migrate from RabbitMQ to Apache Artemis™ with AMQP protocol handling. We preserve exchange/routing topology, handle consumer group mapping, and ensure no message drift during cutover.
Amazon SQS → Artemis™
Migrate from AWS SQS to self-managed Artemis™ for cost optimization and feature control. We replicate message attributes, preserve FIFO semantics, and design failover topology.
Apache Kafka → ActiveMQ®
Migrate from Kafka to ActiveMQ® for request-reply patterns and JMS compatibility. We bridge topic partitions to ActiveMQ queues, replay consumer state, and design for hybrid coexistence during transition.
ActiveMQ®→ Artemis™
Upgrade from ActiveMQ® to Artemis™. We redesign for modern broker architecture, optimize for your throughput targets, and handle zero-downtime broker-to-broker migration.
Any Broker → Kubernetes
Migrate to Artemis™ on Kubernetes from any legacy broker. We design stateful service topology, configure persistent volume strategy, and automate failover for cloud-native deployments.
Why migrations fail without expert guidance
These are the four failure modes we see every time an enterprise attempts a self-managed migration – and the reasons they choose us instead.
Message loss during cutover
Without a properly configured dual-publish bridge and validated replay strategy, in-flight messages are lost or duplicated during broker cutover. Teams discover their failover plan never actually tested until it’s too late.
Protocol and format incompatibility
Source broker message format (Kafka headers, IBM MQ attributes, custom serialization) doesn’t map cleanly to target broker. Client applications expect formats that the new broker can’t parse, causing silent failures.
Rollback failures under pressure
When issues arise during cutover, teams attempt to roll back to the legacy broker. But rollback procedures were never tested or don’t account for the state drift that occurred during partial migration.
Performance regression post-migration
New broker is deployed but never tuned for the organization’s actual workload. Configuration defaults don’t match message volume, throughput, or latency requirements, forcing a second tuning effort under pressure.
meshIQ has a 100% migration success record across 200+ enterprise engagements.
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Migration success stories
Two recent enterprise migrations — different paths, same outcome: zero message loss, on time, on budget.
Success stories
Stabilizing and scaling Apache ActiveMQ® for enterprise operations.
A global retailer transformed its messaging infrastructure from an unstable broker network into a predictable, high-performance foundation for growth.
Success stories
Taming the broker network – achieving reliable Apache ActiveMQ® Operations.
How a global retailer transformed fragile Apache ActiveMQ® operations into reliable, scalable messaging infrastructure through support and automation.
Ready to migrate to mission-critical messaging?
Frequently asked questions about messaging broker migration
The questions every enterprise asks before starting a migration project.
No. meshIQ’s migration methodology is built around a contractual zero-message – loss guarantee. We use a dual – publish bridge during the transition period – every message published to Classic is simultaneously mirrored to Artemis™ – and we reconcile message counts continuously before any consumer re-pointing occurs. The cutover window uses a broker drain -and – verify sequence that confirms zero in – flight messages before Classic is disconnected. In 200+ migrations, meshIQ has never had a confirmed message loss incident attributable to the migration process.
A standard Classic to Artemis™ migration on VM/bare metal infrastructure typically takes 3–6 weeks end-to-end, from assessment kick-off to hypercare handover. A Classic to Artemis™ on Kubernetes migration typically takes 5-8 weeks. Legacy broker migrations (IBM MQ, RabbitMQ) range from 6-12 weeks depending on scope. Timeline is driven primarily by the number of queues, client applications, and the complexity of your HA requirements – not by meshIQ’s process. We will give you a specific timeline estimate in the free assessment.
Yes, in the majority of cases. The dual-publish bridge and progressive consumer re-pointing approach means the actual cutover window is typically 2–6 hours of maintenance window, not downtime – brokers remain operational throughout. For environments where even a maintenance window is unacceptable, meshIQ offers a live-cutover approach using Artemis™ live-backup replication and a rolling client switchover. This requires more careful planning but has been executed successfully in financial services environments with zero tolerance for downtime.
We maintain Classic in standby – not decommissioned – for 72 hours after cutover. If any issue is detected during hypercare, rollback can be executed in minutes using the scripted, rehearsed rollback runbook. Our go/no-go checklist during cutover has hard abort criteria – if any criterion is not met, we pause the cutover, diagnose, and reschedule rather than pressing forward. meshIQ engineers are on a live bridge call for the entire duration of the cutover window. You are never alone in the cutover.