Assessments
Review existing and planned environments against best practice: client connectivity, application code and design.
Message brokers
Message broker services: RabbitMQ consulting and support.
Assessments, troubleshooting, support and training for RabbitMQ, Kafka, Redis and the rest of your messaging stack, from the engineers who run them 24/7.
- Fixed-price assessment first
- Every change engineer-signed
- AceMQ 24/7 after go-live
Modernization assessment
Fixed priceProjected after migration
RuntimeWebLogic 12cTomcat 10
LanguageJava 8Java 21
FrameworkEJB 3Spring Boot 3
DatabaseOraclePostgreSQL
The short answer
Message broker services cover assessment, troubleshooting, 24/7 support and training for brokers such as RabbitMQ, Kafka and Redis. AceMQ built its practice around message brokers, with RabbitMQ first. Ace8 adds the modernization side: moving from IBM MQ or older brokers to a platform your team can run.
Stacks we work in
RabbitMQ
Kafka
Redis
AWS
Java
Spring Boot
Kubernetes
PostgreSQL
Docker
Terraform
Services
What we do with message brokers
Troubleshooting
Senior broker engineers on a live production issue: backed-up queues, failovers, memory alarms.
Support
Operation and support models with SLAs, defined response and resolution times and named specialists.
Training
Coaching and advisory so your own team can run the platform.
Patterns and performance
Pick the right message patterns, then test throughput and latency before production does it for you.
Clusters and DR
Cluster designs built for availability, and disaster recovery that holds when a node or region fails.
Coverage
Brokers we work with
RabbitMQ is the core of the practice. We also support Apache Kafka, Redis, Google Pub/Sub, Apache Pulsar, AWS SQS and ActiveMQ, on AWS or on-premises.
Failure modes
Where broker problems usually come from
- Consumers slower than producers, so queues grow until memory or disk alarms fire.
- Unbounded queues and no dead-letter policy, so one bad message blocks the rest.
- Cluster partitions handled by default settings nobody tested.
- Clients that reconnect in a tight loop after a failover.
- Upgrades skipped for years, then forced by a security finding.
How every engagement runs
AI drafts. Engineers decide.
Three phases, the same on every stack. Each one ends with something you can hold us to.
Scope, cost and AI readiness, before any migration starts.
Applications mapped
Risk scored
Phased plan
Price fixed
AI-assisted, engineer-verified, one capability at a time.
- import javax.persistence.Entity;+ import jakarta.persistence.Entity;- @Stateless+ @Service
AI draftEngineer approved
AceMQ engineers support the new stack from day one.
On call: the team that ran the migration
- Test before you touch
- AI drafts, engineers decide
- Strangle, don’t big-bang
- Every step is reversible
- Measure before and after
- Open targets, no new lock-in
- Fixed scope before fixed price
- Plan the run before the cutover
Modernization
Messaging in a modernization project
Messaging is often the last tie to a legacy stack. Moving off IBM MQ or an application server's built-in broker means changing client code, queue design and operations at once. We assess the message flows first, move them in stages and keep the old and new brokers running side by side until traffic is proven.
RabbitMQ is the usual landing spot, and AceMQ supports it after go-live. See legacy application modernization for how this fits the wider program, and supported after migration for the handover.
Support
Who runs it afterward
AceMQ is a RabbitMQ services partner and runs broker support day to day. The run plan, covering who to call, what is monitored and how to roll back, is written before cutover rather than after the first incident.
Customers
Partners
Proof
Delivered by the AceMQ engineering team.
IBM MQ → RabbitMQ
Phased migration with legacy code refactoring
Legacy messaging replaced in phases while the applications calling it were refactored. No big-bang cutover.
American NationalDelivered by the AceMQ engineering team
1,000+ apps
Spring and Java applications upgraded in 24 hours
A deterministic Spring upgrade process, run through Broadcom’s commercial Spring support, in a single 24-hour window.
Global financial institutionDelivered by the AceMQ engineering team
IBM MQ out
Proprietary messaging displaced
IBM MQ displaced with an open-source messaging stack, supported by AceMQ.
DellDelivered by the AceMQ engineering team
After go-live
Keep it running after cutover.
RabbitMQ, Apache Kafka, Redis, Google Pub/Sub, Apache Pulsar, AWS SQS, ActiveMQ and others, on AWS or on-premises.
We review client connectivity, application code and design against best practice for your broker, including how you build and deploy changes.
Yes. Troubleshooting engagements give you senior broker engineers on a live issue.
Operation and support models with SLAs, defined response and resolution times and dedicated support specialists.
Yes. Training, coaching and advisory across messaging toolsets, so your team can operate the platform.
Yes, in stages. See legacy application modernization.
Start here
Know the cost before anything moves.
A fixed-price assessment gives you the inventory, the risk score and a phased plan. Scope and cost are fixed before the migration starts.
- InventoryEvery application, its stack and what it depends on.
- Risk scoreWhere a change is likely to break, ranked.
- Phased planWhat moves first, which tools lead, and the fixed price.
Get in touch
Talk to a modernization engineer
Tell us what you run today. An engineer, not a sales script, replies within one business day.