IBM MQ & Enterprise MQ Consulting
Last reviewed by Tyler Eastridge
AceMQ's 11 senior SMEs have delivered messaging architecture to 160+ enterprise customers across 26 countries. IBM MQ consulting covers health checks, upgrade or exit planning and phased migration to RabbitMQ or Kafka, alongside the other brokers in the same estate: RabbitMQ, Kafka, ActiveMQ and cloud-native queues. 24/7 production support is available.
A senior engineer, not an SDR. No sales sequence attached.
Without consolidating your whole estate onto one broker firstFor production incident cover, see AceMQ Enterprise MQ 24/7 support.
Customers
Partners
The Problem
Eight problems that teams with more than one broker bring to AceMQ, from four brokers chosen by four teams and bridges nobody understands, to a half-finished migration with both brokers in the critical path. If one describes your week, that is where the review starts.
Four brokers are in production, each chosen by a different team, and none of them is fully owned
A message crosses three systems and nobody can trace it end to end when it goes missing
Every broker has its own alerting and none of it agrees on what a healthy queue depth looks like
The bridges between brokers were written years ago and are now the least understood code you run
A migration is half finished and both the old and the new broker sit in the critical path
Broker licensing was renewed without anyone measuring what the workload actually needs
The messaging layer has no owner, so architecture decisions get made inside tickets
Nobody can produce a current diagram of what publishes to what
A good fit if you run more than one broker in production, from RabbitMQ and IBM MQ to Kafka, ActiveMQ or a cloud queue, and want senior engineers who give a vendor-neutral view of what to keep, merge or retire.
Not a fit for small teams with non-critical workloads. AceMQ is not a budget consultancy: we work with enterprises running business-critical and compliance-heavy Enterprise MQ.
How it breaks, and the fix
Brokers share resources across queues. When one consumer slows, its queue grows, and a shared limit decides what happens next: a RabbitMQ memory alarm blocks every publisher on the node, ActiveMQ throttles producers, and a pinned IBM MQ log fails persistent puts. One service's problem becomes everyone's.
One slow consumer, one shared limit
Two producers, one broker, three queues
All three queues drain as fast as the producers write. The broker's shared limit sits well under its ceiling.
The invoices consumer slows down. Its queue grows until the broker's shared limit is reached, and the broker blocks or fails publishes from both producers, even on the orders and audit queues, which had nothing wrong with them.
Each queue gets its own length or size limit, the slow consumer gets a prefetch sized for it, and a dead-letter path takes what it cannot process. Producers keep sending and only invoices waits.
A queue that backs up and takes unrelated services down is a pattern AceMQ sees across the brokers it supports, with a different limit each time: a memory or disk alarm in RabbitMQ, producer flow control in ActiveMQ, a full recovery log in IBM MQ, a quota in Azure Service Bus. The fix is per-queue limits, consumer prefetch sized for the slowest consumer, a dead-letter path with a documented replay, and alerts on the shared resource before it is reached. AceMQ asks the same questions of every broker in the estate, then of the bridges between them.
Our Services
AceMQ's MQ services run as seven service lines: architecture review, legacy MQ migration, integration patterns, performance engineering, managed MQ and IBM MQ as a service, an IBM MQ health check, and IBM MQ upgrade or exit planning. A senior engineer leads each one, and any of them can roll into 24/7 support.
We assess your existing messaging architecture, identify performance bottlenecks and reliability risks, and deliver a prioritized remediation plan. Engagements are available as one-time assessments or ongoing retainers.
We plan and execute zero-downtime migrations between messaging platforms — preserving message ordering, durability guarantees, and consumer behavior. We've executed dozens of migrations in regulated industries.
We design messaging patterns that connect your systems reliably — request/reply, publish/subscribe, event sourcing, saga choreography, and CQRS. Our engineers design for correctness first, not just connectivity. On IBM estates that includes IBM ACE consulting: the App Connect Enterprise flows, formerly IBM Integration Bus, that read from and write to your queue managers.
Whether you're handling 1,000 or 1,000,000 messages per second, we tune your messaging infrastructure to sustain throughput with predictable latency. Every engagement includes load testing and documented benchmarks.
AceMQ provides fully managed operations for your message broker environment, backed by dedicated engineers and defined SLAs. For IBM MQ as a service, AceMQ runs your queue managers on your own infrastructure or hosts them on AceMQ infrastructure, Tiers 3 and 4 of the same support ladder. We support RabbitMQ, IBM MQ, Kafka, ActiveMQ, AWS SQS, Google Pub/Sub, Azure Service Bus, and Apache Pulsar.
An engineer-led IBM MQ health check: version and fix pack position against IBM's published support dates, queue manager and channel health, recovery readiness and monitoring, delivered as a ranked written report with a prioritised fix list.
A written decision on whether each workload should stay on a supported IBM MQ release or move to RabbitMQ or Kafka, based on support dates and on what the workload actually needs from a broker.
Named senior engineers on your account — 15-minute emergency response, no ticket routing, no junior triage.
24/7 Support
AceMQ messaging support gives you a named senior engineer and a 15-minute first response when production is down, 24/7, whichever broker fails. Lower severities get 1-hour, 4-hour and next-day responses, and every P1 ends with a written root-cause analysis. The Enterprise MQ support page has the detail.
P1 escalation path
A replay of one P1, from the first page to the written root-cause analysis
15-minute P1 response, 24/7.
A response time, not a resolution time.
P1 opened, on-call engineer paged
Phone, email or Slack reaches the on-call senior engineer directly, whether the incident is in RabbitMQ, Kafka, Redis, PostgreSQL or Kubernetes. No web form, no tier-1 queue.
Senior engineer on your bridge
A senior engineer who already knows your environment joins a live bridge, so nobody has to re-explain your topology.
Specialists across the stack join
When an incident crosses components, the engineers who know each one join. For RabbitMQ, the path runs to the core team.
Written root-cause analysis
Root cause, the fix applied and the prevention steps, delivered after every P1.
Beyond SLAs — the model behind senior-only, zero-cold-start expert access.
Every ticket is handled by a senior SME assigned to your account — not a pool of anonymous agents. Zero cold-start. No re-explaining your environment.
Any ticket can be escalated to a live session with your named engineer via calendar booking. No gatekeeping, no approval required — direct access, always.
Quarterly health checks on your deployment plus shared intelligence from 50+ support customers — we surface risks before they reach production.
Proactive alerts on critical bugs and CVEs affecting your exact version, with version compliance monitoring so you're never caught off guard.
How It Works
An AceMQ enterprise MQ engagement runs in four stages: an estate assessment of 1 to 2 weeks across every broker in production, written findings within a week, changes made with your engineers and a tested rollback, then a handover with a current architecture record and a runbook for each broker you keep.
1–2 weeks
We map every broker in production, the applications on each, the bridges between them and the failure modes each one carries — across RabbitMQ, IBM MQ, Kafka, ActiveMQ and cloud-native queues.
Within a week
Prioritised findings with the reasoning attached, including which brokers should stay, which should merge and what each decision would cost.
Scoped per engagement
We do the consolidation, bridge rework and migration alongside your engineers rather than around them. Nothing moves without a tested rollback.
Ongoing
A current architecture record plus runbooks for each broker you keep, and 24/7 support with a 15-minute emergency SLA if you want it.
A senior engineer, not an SDR. No sales sequence attached.
IBM MQ exit
Not every IBM MQ queue should leave. Where the answer is exit, AceMQ phases the move so each cutover is small and reversible. American National Insurance (ANICO) moved its IBM MQ workloads to RabbitMQ on Kubernetes this way.
First
The lower-risk queues went first, which built migration experience before the harder ones. IBM MQ messaging patterns were translated into RabbitMQ exchanges and bindings, with code refactoring guidance for the applications.
Next
The mainframe IBM MQ workloads follow as a later phase. Their migration roadmap and technical architecture were defined and validated before any of them moved.
Every cutover
Both brokers ran side by side and behavior was validated before each cutover. Data was handled to the customer's HIPAA requirements throughout, and IBM MQ licensing cost is being removed progressively as workloads move.
Customer Success
Messaging work from AceMQ across RabbitMQ, IBM MQ, Kafka, ActiveMQ and cloud-native queues. Each card links to the full write-up: the environment, what AceMQ assessed or changed, and the result.
Fortune 500 Financial Services Company
Improving RabbitMQ reliability, queue behavior, and operational guidance for a payment system processing over 200 production changes weekly.
RabbitMQ
AWS
Spring AMQPQuorum QueuesGlobal Aviation Technology Provider
Troubleshooting cluster failover, partition handling, and quorum queue issues in a high-stakes aviation operational environment.
RabbitMQ
KubernetesQuorum Queues
Prometheus
GrafanaState-Run Virtual Education Platform
Standardizing RabbitMQ deployment and training staff while migrating infrastructure from VMware to Nutanix.
RabbitMQNutanix
Red HatPrometheusGrafana
DockerFortune 500 Software Company
Migration to supported RabbitMQ versions with managed services, standardization, compliance posture, and Tanzu commercial licensing.
RabbitMQTanzu RabbitMQAWSEKSKubernetesGlobal Telecom Leader
Resolving weekly RabbitMQ crashes, optimizing for 300,000+ connected devices, and architecting horizontal scaling strategy.
RabbitMQKubernetesQuorum QueuesPrometheusGrafanaFortune 500 Industrial Conglomerate
Enterprise-grade RabbitMQ support with code-level remediation and patch management for regulated production environments.
RabbitMQSolutions
AceMQ covers enterprise messaging end to end: consulting and migrations across brokers, 24/7 support and incident management, proactive monitoring, managed brokers on your infrastructure or on AceMQ's, cover for versions past support, IBM MQ health checks and migration.
Projects
Fixed-scope work led by a senior engineer: architecture and new builds, a health check of what you run today, or a migration with a reversible cutover.
Support and managed services
Four tiers of ongoing cover once you are live. Each tier hands more of the day-to-day work to AceMQ, from a 15-minute emergency SLA to AceMQ hosting and running Enterprise MQ for you.
Compare the four Enterprise MQ support tiersSide by side
Most estates run several brokers, and each has its own support route. Vendor support covers one product at a time, your own team covers what it knows, and AceMQ covers RabbitMQ, IBM MQ, Kafka, ActiveMQ and cloud queues with one team of senior engineers. Each row below answers one question about the difference.
| Question | Vendor support per product | Your own team | AceMQ across brokers |
|---|---|---|---|
| What does it cover? | One product per contract, each with its own portal and process. | The brokers your engineers know, and nothing past that. | RabbitMQ, IBM MQ, Kafka, ActiveMQ, Azure Service Bus, Amazon SQS and Google Cloud Pub/Sub, with one team. |
| Who answers an incident? | The vendor's support tier, under its own severity rules. | Your on-call engineer, with no escalation path past them. | A named senior AceMQ engineer, within 15 minutes for a P1, 24/7. |
| Who owns the bridges between brokers? | Usually nobody: each vendor supports its own product. | The team that wrote them, if they are still there. | Reviewed as part of the estate: protocol mapping, ordering and durability. |
| Where does migration advice come from? | From a vendor with a product to keep or sell. | From what the team has run before. | A workload-by-workload assessment that keeps a broker where it still fits. |
| Which versions are covered? | Versions inside the vendor's support window. | Whatever you can patch yourselves. | Versions inside and outside vendor support, with CVE backports through OSSeva on the RabbitMQ and ActiveMQ lines AceMQ lists. |
| How is it engaged? | An annual subscription per product. | Salaries, hiring and an on-call rota. | Ad hoc engagements or an annual partnership. |
For broker-by-broker detail on who supports what, read message broker support options compared. To see what each broker replaces, see RabbitMQ alternatives: what each one replaces.
One partner, not five
Enterprise MQ rarely fails in isolation. AceMQ covers the full surrounding infrastructure — so one team owns the whole path instead of pointing at each other.
Guides, articles and comparisons
Guides from AceMQ engineers on comparing message brokers, replacing IBM MQ and moving between RabbitMQ, Kafka and ActiveMQ, plus the AceMQ service pages for each broker in the estate, from IBM MQ to the cloud queues.
FAQs
Answers on enterprise MQ from AceMQ: what IBM MQ is and how it works, what consulting includes, which brokers AceMQ supports, choosing a platform, migrating without downtime, how an engagement starts, working with your team, and what the 15-minute SLA covers.
Still have questions about Enterprise MQ? Email an Expert
IBM MQ is IBM's message-oriented middleware. Applications put messages on queues and get them from queues instead of calling each other directly, so either side can be offline while the message waits. A queue manager owns the queues, logs persistent messages to disk and moves them to other queue managers over channels. Persistent messages sent under syncpoint are delivered once and only once, which is why IBM MQ carries payments and other traffic that cannot be lost or duplicated. Applications connect through the MQI, JMS, AMQP or MQTT, and queue managers run on Linux, Windows, AIX, z/OS and in containers. AceMQ's IBM MQ consulting covers health checks, upgrades and phased migration to RabbitMQ or Kafka.
AceMQ's enterprise MQ consulting covers an architecture review of every broker in production, platform selection, migration planning, integration pattern design, performance engineering and managed operations. An engagement is ad hoc, for a defined piece of work such as a review or a migration, or an annual partnership with 24/7 support and named engineers. Each ends in written findings.
AceMQ supports RabbitMQ, IBM MQ, Apache Kafka, ActiveMQ Classic and Artemis, Azure Service Bus, Amazon SQS and SNS, and Google Cloud Pub/Sub, each with a named senior engineer. Every broker has its own page; this one covers work that crosses brokers, such as consolidation, bridges and migrations.
Yes. Platform choice depends on ordering requirements, throughput, protocols such as AMQP, JMS and the Kafka protocol, and how much operating capacity your team has. AceMQ assesses each workload separately and writes down a decision for it, with the reasoning, rather than recommending one product for the whole estate.
AceMQ runs the new platform alongside the old, moves flows one at a time starting with the simplest, and gives each a soak period and a rehearsed rollback. Shadowed traffic validates behaviour before cutover, and the source system is retired only when the last flow has settled. Message ordering and durability are mapped before anything moves.
An AceMQ enterprise MQ engagement starts with a free consultation with a senior engineer, booked in our reply within 1 hour. Next comes an estate assessment of 1 to 2 weeks that maps every broker, its applications, the bridges between them and the failure modes each carries. Written findings and a plan follow within a week, before anything changes.
Yes. AceMQ assigns a named senior engineer from its team of 11+ who works with your engineers rather than around them, making configuration, bridge and migration changes together. Every change is staged and reversible, and you keep a current architecture record and the runbooks for each broker you keep when the work is done.
It covers any production messaging incident: a broker outage, message loss, consumer failures or degradation affecting live systems. A named senior engineer joins within 15 minutes, 24/7, and works the issue rather than acknowledging a ticket. Lower severities get a first response within 1 hour, 4 hours or the next business day.
Yes. AceMQ works on Enterprise MQ in two ways: ad hoc engagements for a defined piece of work, such as a health check, an upgrade or an incident, or an annual partner engagement that covers 24/7 support, proactive reviews and named engineers. Many teams start ad hoc and move to an annual partnership once the first engagement is done.
Every AceMQ proposal is tailored to your requirements: your Enterprise MQ environment, the SLA you need, the hours of cover and the scope of work. Most contracts run $24,000–72,000 a year, depending on the SLA, the scope and how Enterprise MQ is deployed, with aggressive discounts when several technologies share one contract. Request a quote and AceMQ replies within 1 hour.
Let's talk
AceMQ's senior engineers assess your messaging architecture, execute migrations, and provide 24/7 production support across RabbitMQ, Kafka, IBM MQ, and cloud-native queues. Book a free 45-minute consultation and we reply within 1 hour to scope a proposal.
Production incident right now?Email an Enterprise MQ Architect
Send us a message and we'll follow up within 1 hour — or book a free 30-min consultation directly.
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