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ConsultingCross-Industry

Expert guidance for running RabbitMQ reliably on Kubernetes

Smart Home Security Platform

Hardening RabbitMQ in Kubernetes environments with StatefulSet tuning, quorum queue optimization, storage isolation, and memory/network configuration.

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

  1. Storage performance validation with FIO benchmarking for IOPS requirements
  2. Resource isolation with dedicated nodes and anti-affinity rules
  3. Helm chart and operator configuration optimization
  4. Automated recovery scripts for stuck quorum queues
  5. Pod disruption budget and upgrade strategy design

Outcome

Customers achieve stable, performant RabbitMQ clusters on Kubernetes with automated recovery procedures and production-ready configurations.

Technologies

RabbitMQKubernetes
  • Consulting

    RabbitMQ Performance Tuning

    National Research LaboratoryCross-Industry

    Throughput, latency, and resource utilization optimization including queue design, publisher confirms, replication settings, and concurrency tuning.

    RabbitMQ
    Read case study: RabbitMQ Performance Tuning
  • Consulting

    IBM MQ to RabbitMQ Migration for Insurance Carrier

    American National InsuranceHealthcare

    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.

    IBM MQRabbitMQKubernetes
    Read case study: IBM MQ to RabbitMQ Migration for Insurance Carrier
  • Consulting

    Choosing Debezium + RabbitMQ over Kafka for Change Data Capture

    American National InsuranceHealthcare

    American National Insurance chose a standalone Debezium + RabbitMQ architecture for SQL Server change data capture after judging Kafka too complex to run for the job, keeping operations lean and routing flexible.

    KafkaRabbitMQDebeziumKubernetes
    Read case study: Choosing Debezium + RabbitMQ over Kafka for Change Data Capture
  • Consulting

    Kubernetes Cluster-to-Cluster Migration with Stateful Workloads

    SaaS Platform TeamSoftware

    A typical engagement for a platform team that has to leave a Kubernetes version the project no longer patches: an inventory of what each namespace needs, a data-movement method for each broker and database, and a rehearsed cut-over to a new cluster, wave by wave.

    KubernetesRabbitMQPostgreSQLRedis
    Read case study: Kubernetes Cluster-to-Cluster Migration with Stateful Workloads

Related Reading

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.