24/7 Kubernetes Support with a 15-Minute Emergency SLA

We support production Kubernetes clusters and the workloads on them, with the deepest experience in stateful systems such as RabbitMQ, Tanzu RabbitMQ, Kafka, ActiveMQ, databases, and caches. That covers the full stack that keeps them running: StatefulSets, PVCs and storage classes, probes, PodDisruptionBudgets, network policy, operators, and Helm charts. Coverage includes 24/7 emergency response with a 15-minute SLA, root cause analysis on every P1, upgrade and migration support, and quarterly manifest reviews. Stateful workloads are where Kubernetes breaks most often, and that is where our engineers spend most of their time.

Yes, and it is our single largest Kubernetes workload. We are the number one RabbitMQ partner globally with direct access to the RabbitMQ core team, and we support both the RabbitMQ Cluster Operator and hand-rolled StatefulSet deployments. That covers quorum queue membership after node replacement, Erlang distribution over CNI, cert-manager TLS rotation breaking inter-node auth, and the operator reconcile failures that leave a cluster mid-upgrade.

Yes. We support Kafka on Kubernetes including Strimzi-managed clusters, covering broker and controller pod scheduling, storage sizing for log segments and fsync patterns, rack awareness mapped to zone topology, rolling upgrades under partition-availability constraints, and the KRaft migration path. As with RabbitMQ, most incidents turn out to be a platform-layer cause with a broker-layer symptom.

Because heap is not the whole story inside a container. A JVM without container awareness sizes its heap from node memory rather than the pod limit, and even a correctly sized heap sits alongside metaspace, thread stacks, direct byte buffers, and native memory used by the broker's network layer. The container limit counts all of it. The fix is usually MaxRAMPercentage plus explicit direct-memory limits, sized against measured off-heap usage rather than a guess.

P1 emergencies — brokers down, quorum lost, messages not flowing — get a 15-minute first response with a senior engineer joining a live bridge. P2 critical issues are 1 hour, P3 high-priority 4 hours, and P4 standard questions next business day. These are contractual, not best-effort targets.

Alongside them, on the stateful workload. Platform teams are generally strong on the cluster and weaker on what a broker needs from it — the fsync behavior that makes a storage class inadequate, the drain sequence that costs you quorum, the probe timeout that kills a recovering node. We work directly with your platform team rather than around them, and most of our recommendations end up in their manifests, not ours.

Kubernetes is the open source container orchestration platform from the Cloud Native Computing Foundation (CNCF). The Kubernetes community maintains the three most recent minor releases, each for about a year, and the Kubernetes project answers questions through documentation, Slack and GitHub with no response time. Managed Kubernetes services, Amazon EKS, Azure AKS and Google GKE, support the control plane, the API server, etcd and the scheduler, under your cloud support plan, with their own version calendars. Distribution vendors such as Red Hat OpenShift support their platform. None of them supports the workloads you deploy: your Helm charts, operators, ingress, container images, and how your pods use compute, storage and the network. AceMQ covers that layer, and the whole Kubernetes cluster for self-managed deployments on virtual machines or bare metal, so a stateful workload that loses quorum during a node drain has someone accountable for it.

Everything that keeps a Kubernetes cluster and its workloads running: cluster upgrades one minor version at a time with deprecated API scans of every Helm release and operator first, node pools and autoscaling, the container runtime and registry, CoreDNS and NetworkPolicy, ingress controllers and service meshes, persistent volumes and storage classes, role-based access control and secrets, and etcd health on self-managed control planes. Stateful workloads are where we have the deepest experience: message brokers, databases, caches and search clusters running as StatefulSets, which fail in ways that cloud native tooling was not designed for. Small platform teams use us to deploy and manage Kubernetes with 24/7 cover they cannot staff themselves.

Yes. AceMQ works on Kubernetes in two ways: ad hoc engagements for a defined piece of work, such as a health check, an upgrade or an incident, or an annual partner engagement that covers 24/7 support, proactive reviews and named engineers. Many teams start ad hoc and move to an annual partnership once the first engagement is done.

Every AceMQ proposal is tailored to your requirements: your Kubernetes environment, the SLA you need, the hours of cover and the scope of work. Most contracts run $24,000–72,000 a year, depending on the SLA, the scope and how Kubernetes is deployed, with aggressive discounts when several technologies share one contract. Request a quote and AceMQ replies within 1 hour.