RabbitMQ Health Check

RabbitMQ Health Check: Find the Failure Before It Finds You

A RabbitMQ health check is a senior engineer reading your cluster the way an incident would: version and patch position, topology and queue types, memory and disk alarms, partition handling, monitoring and client behaviour. You get written findings, a prioritised fix list, and the reasoning behind each one. Start with the free self-service check, or book the engineer-led assessment.

The only partner with direct RabbitMQ core team access
10 failure patterns checked on every cluster15 min emergency SLA if we find something live130 + enterprise customers26 + countries served

Trusted for mission-critical RabbitMQ by teams in finance, healthcare, defense, and telecom

Named by the RabbitMQ Core Team

The Featured Authorized Partner for RabbitMQ — named by the engineers who build it

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.com
Only
RabbitMQ partner with a direct line to the Core Engineering Team
Support · Licensing · Services
the full scope the partner status covers
Below 72 cores
the only provider globally licensing commercial RabbitMQ under Broadcom's minimum
Is This You?

You probably need this if…

The cluster has been stable for a while and nobody can say why, or what would change that
An upgrade, migration or platform move is coming and you want to know what it will hit
Memory or disk alarms fire occasionally and get cleared without anyone finding the cause
Classic mirrored queues are still in production and the deprecation date is a known unknown
The people who designed the topology have moved on and the diagram is out of date
An auditor or vendor questionnaire is asking about patch level, CVE exposure or DR posture
You are choosing between support, managed services and an upgrade, and want the facts before the contract
Outcomes

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.

Before

The cluster's version, patch level and CVE exposure are known approximately, from memory.

After

A written inventory per node and per cluster, checked against the published CVE register, with what to patch first.

Before

Queue types, policies and HA settings were chosen at go-live and never revisited.

After

Every queue type and policy reviewed against the workload it carries, with the classic-to-quorum candidates listed.

Before

Alerts exist for whatever the last incident was. Nothing watches the next one.

After

A monitoring gap analysis against the ten failure patterns we see most, with the thresholds written down.

Before

The team knows something is fragile but cannot rank the risks or cost the fixes.

After

A prioritised remediation list with effort, risk and sequencing, usable as a plan or as a procurement basis.

Scope

What's covered

Version, Patch and CVE Position

RabbitMQ and Erlang versions per node, distance from the current patch release, and exposure against every published advisory. Where a series is past community end of life, the realistic options are set out rather than assumed.

Topology and Queue Types

Exchanges, bindings, vhosts and policies read against the workload. Classic, mirrored, quorum and stream queues checked for fit, with delivery limits, dead-lettering and overflow behaviour reviewed queue by queue.

Resources and Alarms

Memory watermark, disk free limit, file descriptors, Erlang process and scheduler headroom. Sizing checked against sustained and peak rates, not the numbers guessed at go-live.

Clustering, Partitions and HA

Node count and placement across failure domains, partition-handling mode, net_ticktime and heartbeat settings against the real network, and whether failover has ever actually been tested.

Monitoring and Alerting

What is measured, what is alerted, and what would have caught the last three incidents. Prometheus and Grafana coverage checked against queue depth, unacked counts, connection churn and partition status.

Client Behaviour

Prefetch, acknowledgement, connection and channel reuse, confirms and automatic recovery in the applications that talk to the broker. Most cluster symptoms start on the client side.

The Engagement

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.

Phase 1Minutes

Self-Service Check

Run the free health check at assessment.acemq.com against your management API. It produces a report on cluster health, queue depths, consumer lag, node resources and policy compliance. Many teams stop here; the engineer-led assessment starts from this report rather than repeating it.

You receive
  • Automated health report
  • Queue depth and consumer lag summary
  • Node resource and policy findings
Phase 21 day

Intake and Access

We agree scope, clusters in and out, and the read-only access we need. Screen-share is the default; we take no system access and store no client data, which is why regulated teams are comfortable with it.

You receive
  • Scope and cluster list
  • Access agreed, read-only
  • Incident history and known concerns collected
Phase 3Days, by estate size

Assessment

A senior engineer works through the six scope areas against your actual configuration, metrics and client code, with your team in the room where it helps. Findings are checked against the failure patterns we see most across 130+ estates.

You receive
  • Inventory per node and cluster
  • Findings ranked by risk
  • Evidence for each finding
Phase 4Walkthrough

Findings and Plan

A written report and a walkthrough with the engineer who did the work. Every finding carries the fix, the effort and the risk of leaving it, sequenced into a plan you can execute yourselves, with us alongside, or hand to a support or managed-services contract.

You receive
  • Written findings report
  • Prioritised remediation plan with sequencing
  • Recommendation on support, managed services or upgrade, where relevant
Customer Success

Real RabbitMQ Results

See how enterprises trust AceMQ for their most critical RabbitMQ workloads.

All use cases
🏭Consulting

Real-Time Manufacturing Data Ingestion Modernization

Global Automotive Manufacturer

Replacing fragile SQL-trigger-based ingestion with a reliable event-driven architecture for plant-floor data movement and low-latency operations.

RabbitMQMQTTKafka+2
Read case study
💳Support

RabbitMQ Resilience and Performance Optimization for Payments

Fortune 500 Financial Services Company

Improving RabbitMQ reliability, queue behavior, and operational guidance for a payment system processing over 200 production changes weekly.

RabbitMQAWSSpring AMQP+1
Read case study
✈️Assessment

Stabilizing RabbitMQ on Kubernetes for Mission-Critical Airport Systems

Global Aviation Technology Provider

Troubleshooting cluster failover, partition handling, and quorum queue issues in a high-stakes aviation operational environment.

RabbitMQKubernetesQuorum Queues+2
Read case study
🎓Training

RabbitMQ Platform Modernization and Training

State-Run Virtual Education Platform

Standardizing RabbitMQ deployment and training staff while migrating infrastructure from VMware to Nutanix.

RabbitMQNutanixRed Hat+3
Read case study
💳Remediation

Retry Automation and Downstream Back-Pressure Remediation

International Payment Exchange Service

Reducing manual error-queue operations by improving retry handling, dead-lettering, and downstream flow management across RabbitMQ, BizTalk, and D365.

RabbitMQBizTalkD365+1
Read case study
☁️Managed Services

Managed RabbitMQ Platform Modernization

Fortune 500 Software Company

Migration to supported RabbitMQ versions with managed services, standardization, compliance posture, and Tanzu commercial licensing.

RabbitMQTanzu RabbitMQAWS+2
Read case study
📡Remediation

RabbitMQ Performance Remediation for Telecom-Scale IoT

Global Telecom Leader

Resolving weekly RabbitMQ crashes, optimizing for 300,000+ connected devices, and architecting horizontal scaling strategy.

RabbitMQKubernetesQuorum Queues+2
Read case study
⚙️Support

Commercial RabbitMQ Support and Patch Management for Industrial Software

Fortune 500 Industrial Conglomerate

Enterprise-grade RabbitMQ support with code-level remediation and patch management for regulated production environments.

RabbitMQ
Read case study
FAQ

Questions about RabbitMQ health check

Book a RabbitMQ Health Check

Tell us how many clusters you run. We will scope the assessment and come back with a timeline and price within 24 hours. Or run the free self-service check first.

Get in Touch

Talk to a RabbitMQ Expert

Send us a message and we'll follow up within one business day — or book a free 30-min consultation directly.

305-204-2607
info@acemq.com
66 W. Flagler St. 9th Floor
Miami, FL 33130

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