Cluster Architecture
Node count and sizing, quorum queue member configuration, partition handling strategy, and the capacity headroom figure that tells you when to scale — decided against your throughput profile rather than a default.
RabbitMQ Implementation
The RabbitMQ deployment that works in staging is rarely the one that survives peak traffic, a node failure, and a security review. We design and build clusters against your actual throughput, failure tolerance, and compliance requirements — and hand over something your team can operate.
Customers




Partners



Named by the RabbitMQ Core Team
AceMQ is the Featured Authorized Partner for RabbitMQ, named by the RabbitMQ Core Engineering Team — the people who write and maintain the broker. That recognition covers RabbitMQ support, licensing and professional services, and it makes AceMQ the only RabbitMQ partner with a direct line to the core team. When an escalation needs an answer that is not in the documentation, it does not stop at a support tier.
You do not have to take our word for it — RabbitMQ lists AceMQ on its own site.
See AceMQ listed on rabbitmq.comIs This You?
You're standing up RabbitMQ for the first time and don't want to learn the failure modes in production
A proof of concept works but nobody is confident putting real traffic through it
You need a documented HA and DR posture before a security or compliance review
Your team has deployed RabbitMQ but queue and exchange design was never really decided
You're deploying on Kubernetes and unsure whether to use the Cluster Operator or StatefulSets directly
You need multi-region or multi-datacenter messaging and don't know whether to federate, shovel, or cluster
An existing deployment grew organically and now nobody can explain the topology
You need TLS, vhost isolation, and least-privilege access configured properly rather than defaults
Outcomes
Concrete state changes, not deliverable counts. This is what actually differs about your RabbitMQ estate when the engagement closes.
Before
A single RabbitMQ node someone stood up, now carrying production traffic with no redundancy.
A properly sized cluster with quorum queues, tested node-failure behavior, and a documented capacity headroom figure.
Before
Exchange and queue design decided ad hoc by whichever team needed a queue that week.
A governed topology with naming conventions, routing design matched to actual message patterns, and policies applied as code.
Before
No answer for the auditor asking how messages are encrypted and who can access which vhost.
TLS on client and inter-node connections, vhost isolation per tenant or environment, least-privilege users, and documented access control.
Before
Broker problems discovered when users complain, because nothing is monitored.
Prometheus and Grafana with RabbitMQ-specific dashboards and alerts on the metrics that actually predict incidents, not just node liveness.
Before
Deployment knowledge held by one engineer and never written down.
Infrastructure as code, a written operational runbook, and a trained team that has rehearsed failure scenarios.
Scope
Node count and sizing, quorum queue member configuration, partition handling strategy, and the capacity headroom figure that tells you when to scale — decided against your throughput profile rather than a default.
RabbitMQ Cluster Operator and Topology Operator deployment, PersistentVolumeClaim sizing and storage class selection, PodDisruptionBudget configuration, and network policy for inter-node Erlang distribution.
Clustering within a region, federation or shovel across regions, and an honest assessment of what each option costs you in latency and consistency. Multi-region messaging involves real trade-offs and we make them explicit.
TLS for client and inter-node connections, certificate lifecycle including rotation, vhost isolation, least-privilege users and permissions, and secrets management integrated with your existing platform.
Prometheus metrics, Grafana dashboards tuned to RabbitMQ, and alerting on leading indicators — unacked growth, memory watermark approach, under-replicated quorum queues — rather than only on node death.
The whole deployment in version control via Operator manifests, Terraform, or Ansible, including topology as code so exchanges, queues, and policies are reproducible rather than clicked into the management UI.
The Engagement
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.
We establish what the cluster actually needs to do — peak and sustained throughput, message sizes, durability requirements, acceptable failure modes, and the compliance constraints you have to satisfy. Most oversized RabbitMQ deployments come from guessing at this stage, and most outages come from under-specifying failure tolerance.
You receive
We design the exchange and queue topology around your real messaging patterns, choose queue types deliberately, and define the HA and DR posture — clustering, federation, or shovel depending on what your latency and consistency requirements actually permit. Design decisions are written down with their reasoning so future teams understand why.
You receive
We deploy the cluster as code — Kubernetes Cluster Operator, Terraform, or Ansible depending on your platform — with security hardening and observability built in rather than added afterwards. Then we deliberately break it: node failure, network partition, disk pressure, and rolling upgrade are all exercised before it carries traffic.
You receive
We make sure your team can run it. That means a written runbook for the topology you now have, live walkthroughs of the common operational tasks, and rehearsing the failure scenarios with the people who will be on call rather than just documenting them.
You receive
Customer Success
See how enterprises trust AceMQ for their most critical RabbitMQ workloads.
Global Automotive Manufacturer
Replacing fragile SQL-trigger-based ingestion with a reliable event-driven architecture for plant-floor data movement and low-latency operations.
Fortune 500 Financial Services Company
Improving RabbitMQ reliability, queue behavior, and operational guidance for a payment system processing over 200 production changes weekly.
Global Aviation Technology Provider
Troubleshooting cluster failover, partition handling, and quorum queue issues in a high-stakes aviation operational environment.
State-Run Virtual Education Platform
Standardizing RabbitMQ deployment and training staff while migrating infrastructure from VMware to Nutanix.
International Payment Exchange Service
Reducing manual error-queue operations by improving retry handling, dead-lettering, and downstream flow management across RabbitMQ, BizTalk, and D365.
Fortune 500 Software Company
Migration to supported RabbitMQ versions with managed services, standardization, compliance posture, and Tanzu commercial licensing.
Global Telecom Leader
Resolving weekly RabbitMQ crashes, optimizing for 300,000+ connected devices, and architecting horizontal scaling strategy.
Fortune 500 Industrial Conglomerate
Enterprise-grade RabbitMQ support with code-level remediation and patch management for regulated production environments.
FAQ
A single-region production cluster with standard security and observability requirements typically runs seven to twelve weeks end to end. Multi-region deployments, environments with heavy compliance requirements, or implementations that include application-side design work run longer. The build phase is rarely the constraint — requirements and architecture decisions usually are.
It depends on what your team already operates well. Kubernetes with the RabbitMQ Cluster Operator gives you declarative topology, automated failover handling, and easier rolling upgrades — but it adds a layer of failure modes involving storage classes, network policy, and pod scheduling that will bite a team without Kubernetes operational maturity. If your platform team already runs stateful workloads on Kubernetes confidently, that is usually the better path. If not, VMs are a legitimate answer and we will say so.
Quorum queues for anything requiring durability and failure tolerance, which is most production traffic. They are the strategic direction — classic mirrored queues are removed in RabbitMQ 4.x — and they have clearer failure semantics. The trade-offs are real though: quorum queues are more memory-sensitive, handle very long queues differently, and are not suited to transient or high-churn workloads. We decide per queue class rather than applying one answer across the estate.
Yes, and the first thing we will do is establish what you actually need, because the options differ significantly. Clustering across high-latency links is generally a mistake — RabbitMQ clustering assumes a low-latency network and partitions badly across regions. Federation and shovel are the appropriate tools for cross-region messaging, with different consistency and ordering characteristics. We design against your latency budget and consistency requirements rather than defaulting to one pattern.
Everything in version control. Depending on your platform that means Cluster Operator manifests, Terraform, or Ansible, and it includes topology as code so exchanges, queues, and policies are reproducible. A cluster that was clicked together in the management UI cannot be rebuilt reliably after an incident, which makes it a liability regardless of how well it is currently running.
That is the point of the handover phase, and we treat it as deliverable work rather than a closing formality. Your team gets a runbook written for the topology they actually have, live walkthroughs of routine operational tasks, and rehearsed failure scenarios — node loss, partition, disk pressure — with the people who will be on call. Many customers then move onto a support contract for the incidents that fall outside routine operation.
Yes. AceMQ is the Broadcom VMware Expert Advantage Partner of the Year for the Americas and implements both open-source RabbitMQ and Tanzu RabbitMQ. Tanzu adds commercial support, security patching commitments, and roadmap alignment that regulated environments frequently require. We can also advise on the licensing and entitlement side, which is often the deciding factor rather than the technology.
Let's talk
Tell us what you're building and what it has to survive. We'll design a RabbitMQ deployment sized for your real traffic — and make sure your team can actually run it.
Send us a message and we'll follow up within 1 hour — or book a free 30-min consultation directly.
305-204-2607info@acemq.comPrefer to talk now? Call us directly or use the consultation tab to find a time that works.