Expert guidance for running RabbitMQ reliably on Kubernetes
RabbitMQ
KubernetesCustomers achieve stable, performant RabbitMQ clusters on Kubernetes with automated recovery procedures and production-ready configurations.
Overview
Running RabbitMQ on Kubernetes introduces unique challenges around storage performance, resource contention, pod scheduling, and cluster recovery that require specialized expertise.
Challenge
Common Kubernetes deployment issues include quorum queue failures from inadequate storage IOPS, resource contention with co-located workloads, pod anti-affinity misconfiguration, and complex failover behavior during node evictions.
Environment
Any Kubernetes platform — EKS, AKS, GKE, OpenShift, Rancher, or self-managed clusters.
Approach
AceMQ provides Kubernetes-specific RabbitMQ expertise covering storage optimization, resource isolation, Helm chart configuration, operator setup, and automated recovery procedures.
Solution
- 1Storage performance validation with FIO benchmarking for IOPS requirements
- 2Resource isolation with dedicated nodes and anti-affinity rules
- 3Helm chart and operator configuration optimization
- 4Automated recovery scripts for stuck quorum queues
- 5Pod disruption budget and upgrade strategy design
Outcome
Customers achieve stable, performant RabbitMQ clusters on Kubernetes with automated recovery procedures and production-ready configurations.
Technologies
RabbitMQKubernetesRelated Use Cases
Stabilizing RabbitMQ on Kubernetes for Mission-Critical Airport Systems
Troubleshooting cluster failover, partition handling, and quorum queue issues in a high-stakes aviation operational environment.
RabbitMQ Performance Tuning
Throughput, latency, and resource utilization optimization including queue design, publisher confirms, replication settings, and concurrency tuning.
IBM MQ to RabbitMQ Migration for Insurance Carrier
AceMQ led the phased migration of American National Insurance's IBM MQ infrastructure to RabbitMQ, including legacy code refactoring and HIPAA-compliant data handling across Windows and mainframe queue environments.
Replacing Kafka with Debezium + RabbitMQ for Change Data Capture
American National Insurance replaced a Kafka-based CDC pipeline with a standalone Debezium + RabbitMQ architecture, simplifying operations while maintaining SQL Server change capture with improved message routing flexibility.
Cassandra Data Model and Partition Design Consulting
Redesigning partition keys and clustering order to eliminate unbounded partitions and remove secondary index queries that were hitting every node.
MuleSoft Migration and Licensing Cost Consulting
An honest evaluation of which MuleSoft integrations justify their licensing cost, and a staged migration path for the ones that do not.
Need RabbitMQ Architecture Guidance?
AceMQ's senior RabbitMQ engineers have handled this exact type of engagement before. Whether you need architectural guidance, hands-on remediation, or an ongoing managed partnership, we're ready to help.