Running RabbitMQ on Kubernetes introduces unique challenges around storage performance, resource contention, pod scheduling, and cluster recovery that require specialized expertise.
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.
Any Kubernetes platform — EKS, AKS, GKE, OpenShift, Rancher, or self-managed clusters.
AceMQ provides Kubernetes-specific RabbitMQ expertise covering storage optimization, resource isolation, Helm chart configuration, operator setup, and automated recovery procedures.
Customers achieve stable, performant RabbitMQ clusters on Kubernetes with automated recovery procedures and production-ready configurations.
Troubleshooting cluster failover, partition handling, and quorum queue issues in a high-stakes aviation operational environment.
Throughput, latency, and resource utilization optimization including queue design, publisher confirms, replication settings, and concurrency tuning.
Whether you need architecture advisory, 24/7 support, or full managed services, AceMQ has the expertise to help.