Kubernetes Consulting & Implementation

Kubernetes Consulting and Implementation Services for Enterprises

AceMQ gives enterprise teams Kubernetes consulting and implementation services from senior Kubernetes consultants: cluster design on EKS, AKS, GKE, OpenShift or your own hardware, migration of workloads onto Kubernetes, version upgrades, and the stateful messaging and database workloads that cause most incidents. Senior engineers work in your cloud account alongside your platform team, and any engagement can roll into 24/7 support.

A senior engineer, not an SDR. No sales sequence attached.

Emergency SLA
<15min
Customers
160+
Years in Business
10+
Sev 1s Handled a Year
40+

Without a platform rebuild or a forced move onto a managed Kubernetes serviceFor production incident cover, see AceMQ Kubernetes 24/7 support.

Customers

  • Microsoft
  • Henry Schein
  • Enbridge
  • Gojek

Partners

  • Broadcom
  • Redis
  • VMware Tanzu
  • OSSeva

The Problem

Why teams call us about Kubernetes

Eight Kubernetes problems teams bring to AceMQ, from evicted pods and hung rollouts to stateful workloads that lose data on a node drain. Most are visible in the manifests long before they become incidents. If one describes your week, that is where the review starts.

  1. 01

    Pods are evicted at random because requests and limits were copied between services and never sized

  2. 02

    Rolling deployments hang on readiness probes that pass in staging and time out in production

  3. 03

    The cluster is two minor versions behind and deprecated APIs are blocking the upgrade

  4. 04

    Stateful workloads lose data on node drain because the storage class and reclaim policy were never checked

  5. 05

    Ingress and DNS resolution fail intermittently and the blame moves between the CNI, kube-proxy and the load balancer

  6. 06

    Namespaces have no resource quotas, so one noisy team can starve every other workload on the cluster

  7. 07

    Node autoscaling adds capacity faster than it removes it, and the monthly cloud bill reflects that

  8. 08

    The platform team that built the cluster has moved on and nobody will touch the Helm charts

A good fit if you run business-critical workloads on Kubernetes, especially brokers, databases and caches, and want senior engineers who know why a clean-looking rollout can still cost you quorum.

Not a fit for small teams with non-critical workloads. AceMQ is not a budget consultancy: we work with enterprises running business-critical and compliance-heavy Kubernetes.

Running Kubernetes in production? Get a quote from a senior engineer, answered within one hour.

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How it breaks, and the fix

What happens when a bad rollout reaches every pod?

A Kubernetes Deployment replaces pods one at a time, but only as fast as the readiness probe says each new pod is ready. If the probe only checks that a port is open, a broken release looks healthy and the rollout keeps replacing good pods with failing ones.

A rollout that keeps going while pods fail

One release, one rolling update, three replicas

Illustrative
  1. Three replicas serve traffic on the current revision. Readiness probes pass, requests and limits match what the pods use, and the Deployment is at full strength.

  2. The new image starts, opens its port and passes a shallow readiness probe, then fails its first real request. Kubernetes counts pods 1 and 2 as ready and replaces them, so only pod 3 is still on the old build. Nothing rolls back by itself.

  3. The release goes back to the previous revision with kubectl rollout undo or a Helm rollback. It is redeployed with a probe that checks the dependencies it needs, maxUnavailable at 0 and a progress deadline, so the next bad image stops at the first pod.

Rollouts that look healthy until traffic arrives are one of the reasons teams call AceMQ about Kubernetes. Kubernetes does not roll back a failed Deployment on its own: after progressDeadlineSeconds, 600 by default, it marks the rollout as stalled and waits. The fix is configuration and process: a readiness probe that exercises real dependencies, a startupProbe for slow starts, maxUnavailable at 0 with a surge pod, enough revision history to undo, and Argo Rollouts or Flagger to abort automatically. For stateful middleware the stakes are higher. A StatefulSet update halts on the first pod that does not become ready, a PodDisruptionBudget has to protect quorum, and the storage class and PVC retention policy decide whether a delete destroys data. AceMQ reviews each against your cluster.

Our Services

Kubernetes Consulting & Services

AceMQ runs five Kubernetes service lines: container strategy, cluster deployment and operations, CI/CD and progressive delivery, OpenShift, and service mesh with messaging operators. A senior engineer leads each one, and any of them can roll into 24/7 support with a 15-minute emergency SLA.

  • 01

    Container Strategy & Architecture

    We design containerization strategies around your team's maturity, compliance requirements, and platform goals — not generic templates. Every engagement starts with an honest assessment of what should and shouldn't be containerized.

    • Containerization assessment, roadmap, and phased migration planning
    • Docker image optimization, multi-stage build design, and base image security hardening
    • Private registry setup: ECR, GCR, Harbor, and Artifactory
    • Container runtime selection and configuration: containerd, Docker, CRI-O
  • 02

    Kubernetes Deployment & Operations

    We deploy and operate Kubernetes clusters with the right RBAC policies, operators, and observability in place from day one. Our engineers work across EKS, GKE, AKS, and on-premises vSphere.

    • EKS, GKE, AKS, and self-managed cluster deployment and version upgrade management
    • Helm chart development and GitOps workflows with ArgoCD and Flux
    • RBAC, network policy, and pod security standards for multi-tenant clusters
    • Ingress controller, persistent volume, and storage class configuration
  • 03

    Kubernetes CI/CD & DevOps Integration

    We integrate container deployments into your existing CI/CD pipelines, accelerating release velocity while maintaining rollback safety. Our engineers design progressive delivery patterns that fit your team's workflow.

    • GitHub Actions, GitLab CI, and Jenkins pipeline design for containerized workloads
    • Blue/green and canary deployments with Flagger and Argo Rollouts
    • Container image scanning gates and secret management via Vault or AWS Secrets Manager
    • Progressive delivery with full audit trail and automated rollback capability
  • 04

    OpenShift: Lifecycle, Managed Operations & Migration

    AceMQ offers OpenShift lifecycle planning, Tier 3 managed operations inside your own estate, including air-gapped sites, and migration from vanilla Kubernetes to OpenShift, with partner OpenShift specialists. Red Hat dates each 4.x release, and its policy for 5.x gives every minor release 12 months of full support and 12 of maintenance.

    • OpenShift 4.22 per Red Hat, 4 Nov 2026: full support to 31 Dec 2026, maintenance to 31 Dec 2027, Extended Update Support to 30 Jun 2028
    • Upgrade planning across 4.x minors on OCP, ROSA, ARO and OKD, with Operator Lifecycle Manager compatibility checked first
    • Tier 3 managed operations in air-gapped and regulated sites, on your access controls and change process
    • Vanilla Kubernetes to OpenShift: Security Context Constraints, RBAC and GitOps with ArgoCD reviewed before cutover
  • 05

    Service Mesh & Messaging Operators

    We implement Istio and Linkerd service meshes and deploy stateful messaging operators — RabbitMQ, Kafka, and Redis — at production scale on Kubernetes. Most Kubernetes engineers don't understand stateful messaging workloads; we do.

    • Istio and Linkerd installation with mTLS enforcement and traffic management
    • RabbitMQ Cluster Operator and Strimzi Kafka Operator deployment and configuration
    • Redis Operator setup with persistent volume and anti-affinity constraints
    • KEDA-driven autoscaling and service mesh observability with Kiali and Jaeger
  • 15 MIN SLA

    24/7 Kubernetes Support

    Named senior engineers on your account — 15-minute emergency response, no ticket routing, no junior triage.

    • 15-minute emergency response SLA
    • Named engineer, zero cold-start
    • Proactive CVE & health monitoring
    • Quarterly deployment reviews

Want AceMQ to take this off your team's plate? Tell us about your Kubernetes estate.

Contact Us

24/7 Support

Kubernetes Support When It Matters Most

AceMQ Kubernetes support gives you a named senior engineer and a 15-minute first response when production is down, 24/7, on EKS, AKS, GKE, OpenShift or self-managed clusters. Lower severities get 1-hour, 4-hour and next-day responses, and every P1 ends in a written root-cause analysis.

  1. 15 minfirst responseEmergencyProduction down, messages not flowing, queue manager failure
  2. 1 hourfirst responseCriticalSevere degradation, high error rates, approaching capacity
  3. 4 hoursfirst responseHighPerformance issues, configuration problems, non-critical failures
  4. Next Dayfirst responseStandardQuestions, guidance, best practices, non-urgent improvements

P1 escalation path

A replay of one P1, from the first page to the written root-cause analysis

SLA 15:00
T+Elapsed15:00
Engineer on your bridge

15-minute P1 response, 24/7.
A response time, not a resolution time.

  1. T+00:00

    P1 opened, on-call engineer paged

    Phone, email or Slack reaches the on-call senior engineer directly, whether the incident is in RabbitMQ, Kafka, Redis, PostgreSQL or Kubernetes. No web form, no tier-1 queue.

    Paged
  2. T+15:00

    Senior engineer on your bridge

    A senior engineer who already knows your environment joins a live bridge, so nobody has to re-explain your topology.

    Live
  3. T+30:00

    Specialists across the stack join

    When an incident crosses components, the engineers who know each one join. For RabbitMQ, the path runs to the core team.

    If needed
  4. After

    Written root-cause analysis

    Root cause, the fix applied and the prevention steps, delivered after every P1.

    Every P1

How Our Support Actually Works

Beyond SLAs — the model behind senior-only, zero-cold-start expert access.

  • Named Engineers on Your Account

    Every ticket is handled by a senior SME assigned to your account — not a pool of anonymous agents. Zero cold-start. No re-explaining your environment.

  • Live Escalation on Any Ticket

    Any ticket can be escalated to a live session with your named engineer via calendar booking. No gatekeeping, no approval required — direct access, always.

  • Proactive Risk Mitigation

    Quarterly health checks on your deployment plus shared intelligence from our support customers — we surface risks before they reach production.

  • Critical Bug & CVE Intelligence

    Proactive alerts on critical bugs and CVEs affecting your exact version, with version compliance monitoring so you're never caught off guard.

How It Works

What actually happens next

An AceMQ Kubernetes engagement runs in four stages: a cluster assessment of 1 to 2 weeks, written findings within a week, changes made with your platform team namespace by namespace, then a handover with node-failure, upgrade and rollback runbooks written for your cluster layout.

1–2 weeks

Cluster assessment

We review node pools, workload requests and limits, storage classes, network policy, ingress and RBAC against what your workloads actually need — and identify the deprecated APIs standing between you and the next upgrade.

Within a week

Written findings and plan

Prioritised findings covering cluster topology, workload sizing and upgrade path, written so your platform team and your budget holder can both act on the same document.

Scoped per engagement

Implementation alongside your team

We make the manifest, Helm and operator changes with your engineers rather than around them, staged namespace by namespace so each step can be rolled back.

Ongoing

Handover and optional cover

Runbooks for node failure, upgrade and rollback specific to your cluster layout, plus 24/7 support with a 15-minute emergency SLA if you want it.

  • Written findings before any change
  • Every change staged namespace by namespace and reversible
  • Your engineers in the room
  • You keep the runbooks
  • Ad hoc engagements or an annual partnership

A senior engineer, not an SDR. No sales sequence attached.

Kubernetes consulting

Kubernetes consulting and implementation: how an engagement runs

AceMQ Kubernetes consulting covers the path from assessment to a platform your own team can run: design, migration onto Kubernetes or between providers, upgrades, and the stateful workloads where most incidents start. Engineers work in your cloud account with your platform team. This is the order the work runs in.

Assess

Count the distance before you design

Review workloads, requests and limits, storage classes, network policy and RBAC, and list the deprecated APIs standing between you and the next upgrade. Kubernetes documents skipping minor versions as unsupported, so how many versions behind you are sets the length of the upgrade path.

Choose

Pick the platform by support window

Upstream Kubernetes patches the three newest minor releases for about a year. EKS standard support runs 14 months, then a paid 12-month extension at $0.60 per cluster-hour against $0.10. AKS supports N, N-1 and N-2, and enrolment in its long-term support is never automatic (AWS and Microsoft documentation, 31 October 2026).

Migrate

Move workloads in order of risk

Stateless services go first. Brokers, databases and caches move with operators, storage classes, disruption budgets and anti-affinity checked before any node drain, and each move has a rollback point.

Hand over

Upgrade one minor at a time, then hand over

Nodes are drained before each minor upgrade, and operators and add-ons are checked for compatibility. Your team receives node-failure, upgrade and rollback runbooks written for your cluster layout.

Customer Success

Real Kubernetes Results

Kubernetes work from AceMQ, most of it on stateful workloads: brokers, databases and caches running on clusters. Each card links to the full write-up: the cluster, what AceMQ assessed or changed, and the result.

1 / 6 case studies

All use cases

Solutions

Every way AceMQ works with Kubernetes.

AceMQ covers Kubernetes end to end: cluster consulting and upgrades, 24/7 support and incident management, proactive monitoring, platform operation on your infrastructure or on AceMQ's, upgrade planning ahead of each end-of-life date, and a fixed-price health check.

Projects

Build, fix or move Kubernetes

Fixed-scope work led by a senior engineer: architecture and new builds, a health check of what you run today, or a migration with a reversible cutover.

Side by side

Managed Kubernetes or self-managed: what do you still own?

A managed Kubernetes service such as Amazon EKS, Azure AKS or Google GKE runs the control plane. Self-managed clusters leave that with your team as well. Either way, workload sizing, probes, disruption budgets, storage and the stateful middleware on the cluster stay with you, and that is the layer AceMQ covers.

Managed Kubernetes services compared with self-managed Kubernetes on control plane, version support, upgrades, stateful workloads, incidents and exit
QuestionManaged (EKS, AKS, GKE)Self-managed (kubeadm, RKE2, OpenShift, vSphere)
Who runs the control plane?The cloud provider runs the API server, scheduler and etcd.Your team, or a specialist, runs and upgrades the control plane and etcd.
How long is a Kubernetes version supported?The provider sets its own calendar for each minor version. Check your provider's retirement date.The project patches the three newest minor releases, about one year each. Kubernetes 1.34 reaches end of life on 27 October 2026.
Who upgrades the cluster and the workloads?The provider offers the upgrade and you schedule it. Your manifests, operators and deprecated APIs still have to survive it.Your team, including nodes, CNI, CSI drivers and operators. Deprecated APIs are checked before each minor upgrade.
What about brokers, databases and caches?The provider does not manage them. StatefulSets, storage classes, disruption budgets and operators are yours.The same, plus the storage and network layers underneath.
Who answers an incident?The provider's support covers the platform. Probes, quotas, rollouts and stateful behaviour stay with your team.Your team, or AceMQ: a named senior engineer, 24/7, a 15-minute emergency response and a written root-cause analysis for every P1.
How do you leave?Manifests and Helm charts move. Load balancers, storage classes, IAM and provider add-ons do not, so plan for the differences.Nothing to exit. Runbooks and cluster documentation are yours.

To decide who supports which layer, read Kubernetes support options: community, cloud, vendor or independent. To see how long Kubernetes and 20 other technologies get security fixes, see open source and vendor support windows compared.

Not sure which option fits? A senior Kubernetes engineer will scope it with you.

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One partner, not five

We Support Your Entire Tech Stack

Kubernetes rarely fails in isolation. AceMQ covers the full surrounding infrastructure — so one team owns the whole path instead of pointing at each other.

See all 69 technologies we supportShow fewer

Guides, articles and comparisons

Go deeper on Kubernetes.

Guides from AceMQ engineers on who supports which layer of Kubernetes, why stateful middleware is hard to run there, and how to deploy brokers with operators or Helm, plus the AceMQ services for the systems that run on top.

Ready to talk Kubernetes? Get a quote or send us a message.

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FAQs

Kubernetes Questions Answered

Ten answers on Kubernetes from AceMQ: supported versions and end of life, who answers when production is down, how an engagement starts, what consulting and implementation include, multi-version upgrades, working with your platform team, node drains, bad rollouts, brokers on Kubernetes, and managed or self-run clusters.

Still have questions about Kubernetes? Email an Expert

Which Kubernetes versions are supported, and what happens at end of life?

The Kubernetes project maintains the three newest minor releases, with about one year of patches each. As of 19 October 2026 those are 1.35, 1.36 and 1.37, and 1.34 reaches end of life on 27 October 2026. AceMQ supports the current release and the five end-of-life release lines before it, and plans each upgrade ahead of its date, including the deprecated API removals that block it.

Who answers when a Kubernetes cluster fails in production, and how fast?

A named AceMQ senior engineer joins a live bridge within 15 minutes, 24/7, when production on Kubernetes is down, with kubectl access to diagnose. Lower severities get a first response within 1 hour, 4 hours or the next business day. The engineer who takes the call stays on the case, and every P1 ends in a written root-cause analysis.

How does an AceMQ Kubernetes engagement start?

An AceMQ Kubernetes engagement starts with a free consultation with a senior engineer, booked in our reply within 1 hour. A cluster assessment of 1 to 2 weeks follows, covering node pools, requests and limits, storage classes, network policy, ingress, RBAC and deprecated APIs. Written findings arrive within a week, before anything in your cluster changes.

Can an AceMQ engineer work alongside our platform team?

Yes. A named senior engineer works with your platform team, changing manifests, Helm values and operator settings together, one namespace at a time so every step can be rolled back. You keep the runbooks for node failure, upgrade and rollback when the work is done.

Why do broker and database pods lose quorum or data during a node drain?

Usually because the storage class, reclaim policy or PodDisruptionBudget was never checked against how the workload fails. A drain can take a second member of a three-member cluster down while the first is still restarting, and a deleted StatefulSet can take its volumes with it. AceMQ reviews budgets, anti-affinity, volume claim templates and drain runbooks.

Why did our rollout keep going while the new pods were failing?

Kubernetes only waits for the readiness probe. If the probe checks that a port is open rather than that the service works, a broken release passes, and Kubernetes does not roll back a stalled Deployment by itself. AceMQ adds dependency-aware probes, startup probes, maxUnavailable at 0, a rehearsed rollout undo, and Argo Rollouts or Flagger to abort automatically.

Can AceMQ run RabbitMQ or Kafka on our Kubernetes clusters?

Yes, and it is the largest part of AceMQ's Kubernetes work. We deploy RabbitMQ with the Cluster Operator and Kafka with Strimzi, and set storage, anti-affinity, disruption budgets and rolling-upgrade order, because brokers fail on Kubernetes in ways stateless services do not. Redis and ActiveMQ Artemis on Kubernetes are covered too.

Should we run Kubernetes ourselves or use EKS, AKS or GKE?

A managed service fits most teams, and self-managed fits air-gapped sites and custom control planes. Either way, probes, quotas, storage and stateful middleware stay yours. AceMQ supports EKS, AKS, GKE, OpenShift, Rancher and self-managed clusters, so the recommendation follows your constraints rather than a preferred platform.

What is the OpenShift lifecycle, and what changes with 5.x?

Red Hat publishes dates for each 4.x release. As of 4 November 2026, OpenShift 4.22 has full support to 31 December 2026, maintenance to 31 December 2027 and Extended Update Support to 30 June 2028, with a second term to 30 June 2029. Red Hat's policy for 5.x gives each minor release 12 months of full support and 12 months of maintenance, with an optional Extended Life Cycle for every third minor release from 5.2. Extended Update Support is a 4.x term. AceMQ plans upgrades against the dates for the release you run and does not provide Red Hat subscriptions or patches.

Does AceMQ offer managed OpenShift, including ROSA, ARO and air-gapped clusters?

AceMQ offers Tier 3 managed operations inside your own OpenShift estate, including air-gapped clusters, using your access controls and change process, delivered by AceMQ engineers with partner OpenShift specialists. On ROSA and ARO, Red Hat and the cloud provider operate the cluster platform, so AceMQ's work is upgrade planning, operators and the workloads on top. Red Hat, AWS and Microsoft subscriptions stay with them, and AceMQ is not a partner of any of the three.

What does Kubernetes consulting and implementation include?

A written assessment first, then cluster and landing-zone design, migration of workloads onto Kubernetes or between EKS, AKS, GKE and OpenShift, upgrade planning, CI/CD and GitOps, security, and stateful workloads such as RabbitMQ, Kafka, Redis and PostgreSQL. AceMQ engineers work in your cloud account with your platform team, and can work with an existing cluster rather than starting from scratch. Running the platform afterwards is a separate managed service, quoted per estate.

How do we upgrade a Kubernetes or EKS cluster across several minor versions?

One minor version at a time, because Kubernetes documents skipping minor versions as unsupported. Before each step, check manifests and Helm charts for removed APIs and confirm operator and add-on compatibility, then upgrade the control plane and drain and upgrade the nodes. On EKS, staying past the 14-month standard window moves a cluster onto extended support at $0.60 per cluster-hour instead of $0.10 (AWS, 31 October 2026).

Can we work with AceMQ on Kubernetes without a long contract?

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.

How much does AceMQ Kubernetes support or consulting cost?

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.

Let's talk

Start Building Container Infrastructure That Scales.

AceMQ's senior engineers handle cluster design, day-2 operations, and messaging operators on Kubernetes — from initial architecture through production SLAs. Tell us about your environment and we reply within 1 hour to scope an engagement plan.

A senior Kubernetes engineer, not a sales queueAbout your clusters, not a pitch deckQuote requests answered within 1 hour

Production incident right now?Email a Kubernetes Architect

Get in Touch

Talk to a Kubernetes Expert

Send us a message and we'll follow up within 1 hour — 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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