Kubernetes Consulting

Production Kubernetes, without the chaos.

In plain English: your apps stay online, scale up when traffic spikes, and stop paging your team at 3am. Kubernetes (K8s) is one way to get there — a powerful container orchestrator, and often not the simplest. We design clusters, run Kubernetes on AWS with EKS (Amazon's managed Kubernetes service), and migrate workloads into Kubernetes — or out of it when a simpler tool wins. AWS Advanced Tier Partner, founder-led on every engagement, and honest enough to tell you when you don't need Kubernetes at all.

AWS Advanced Tier Partner
Google Cloud Partner
RedHat Partner
Vanta
ISO 27001:2022 Certified
ISO 9001:2015 Certified
HAZERCLOUD · K8SHonest By Default

How we work with Kubernetes.

Cluster DesignArchitecture
Amazon EKSManaged K8s
KarpenterAutoscaling
HelmPackaging
ObservabilityMetrics + logs
RBAC + PolicySecurity
MigrationsIn & out
Amazon ECSSimpler option
AWS
Advanced Tier Services Partner
AWS Partner listing
ISO
27001:2022 certified — we build to the standard we operate under
Trust center
Zero
Downtime on a real DigitalOcean Kubernetes → Amazon ECS migration
Read the case study
Founder
Founder-led delivery on every Kubernetes engagement
Meet the founder
What We Do

Four ways we work with Kubernetes.

Most engagements start in one of these lanes. All of it is production work — real clusters, real migrations, real trade-offs — not slideware. Broader platform needs sit under our AWS DevOps services.

01 · DESIGN

Cluster design & architecture

We design Kubernetes clusters around your workloads and your team's real skills — node strategy, namespace and RBAC layout, ingress and network policy, secrets handling, and a rehearsed upgrade path that keeps you on a supported Kubernetes version. The deliverable is a cluster your engineers can actually operate, with runbooks and guardrails, not a black box only we understand.

Cluster TopologyRBACNetwork PolicyIngressHelm
02 · RUN ON AWS

Kubernetes on AWS via Amazon EKS

When AWS is your home, we run Kubernetes on EKS — Amazon's managed Kubernetes service — with Karpenter for node autoscaling, IRSA for least-privilege pod permissions, and rehearsed control-plane upgrades. This page is about Kubernetes in general; for the AWS-specific depth, see our dedicated Amazon EKS consulting — that is Kubernetes on AWS specifically.

Amazon EKSKarpenterIRSAUpgradesTerraform
03 · MIGRATE IN

Migrations into Kubernetes

When Kubernetes is genuinely the right model, we get you there safely: containerise what needs it, package with Helm, move the data layer with a rehearsed cutover, rebuild CI/CD for cluster deploys, and run old and new in parallel until the numbers justify the switch. No big-bang rewrite, and always a rollback point before traffic shifts.

ContaineriseHelmParallel RunCI/CDRollback Plans
04 · MIGRATE OUT

Migrations out of Kubernetes

Sometimes leaving Kubernetes is the right answer, and we treat that as a real outcome. A client running on DigitalOcean Kubernetes (DOKS) did not need the cluster complexity, so we moved them to Amazon ECS — the simpler container service — with zero downtime. When your workloads do not depend on Kubernetes-specific tooling, a simpler orchestrator can cut your operational overhead for good. Read the DOKS → ECS case study.

DOKS → ECSZero DowntimeAmazon ECSCost CutHonest Advice
The Honest Question

Do you even need Kubernetes?

We are an ECS-first shop by default — we would rather you run something you can operate than the most fashionable platform. Kubernetes is a fine tool and a poor status symbol. Here is exactly how we advise clients.

Our default: you probably don't

Reach for the simpler tool first

  • The control-plane tax is real. Cluster upgrades, node patching, RBAC, and network policy all cost engineering time you may not have.
  • Amazon ECS covers most scale-ups. Containers without a platform team — Amazon ECS is the simpler alternative we reach for.
  • Simplicity is a feature. Fewer moving parts means fewer 3am pages and a smaller blast radius when something breaks.
  • We have moved teams off K8s. The DOKS → ECS migration below is proof that leaving Kubernetes can be the right call.
  • No incentive to oversell. We deliver both, so the recommendation is about your team and workload, not what we prefer to sell.
When Kubernetes IS the right call

Genuine reasons to run K8s

  • Existing Helm charts. A real investment in Helm, operators, and manifests your team already maintains and trusts.
  • Multi-cloud portability. A hard, strategic requirement to run the same workloads across clouds that a single-cloud service cannot satisfy.
  • Ecosystem tooling. Dependencies on service meshes, custom controllers, or CNCF projects with no simpler equivalent.
  • Real in-house K8s skills. A team that already runs Kubernetes well — or is funded to — and treats the cluster as a first-class product.
  • Large, heterogeneous estates. Hundreds of services where Kubernetes primitives genuinely earn their complexity.
To be explicit about how our pages fit together: this page is about Kubernetes in general — whether to use it and how to run it anywhere. For Kubernetes on AWS specifically, see our Amazon EKS consulting. And if a 30-minute review shows you don't need Kubernetes at all, Amazon ECS is usually the simpler alternative we build instead.
Production Baseline

What “production-grade” actually means.

A cluster that runs a demo is not a cluster that survives a Black Friday, an auditor, or a 2am node failure. When we say production Kubernetes, we mean a specific, non-negotiable baseline — the same one whether you run on Amazon EKS or another platform.

Every baseline is documented and handed over with runbooks, so your team can operate the cluster confidently after we step back. For the AWS-native specifics of each control, see our Amazon EKS consulting; for the broader platform, our AWS DevOps services.

Review your cluster with us →
  • Version upgrades: staying on a supported Kubernetes version with rehearsed control-plane and node upgrades — no surprise end-of-life clusters.
  • Autoscaling: pod autoscaling (HPA) plus node autoscaling (Cluster Autoscaler or Karpenter on EKS) tuned to real signals, not CPU guesswork.
  • Observability: metrics, logs, and traces wired into dashboards and alerts your on-call can actually act on.
  • Security: least-privilege RBAC, network policies, secrets kept out of plain env vars, image scanning, and pod security standards.
  • Resilience: multi-AZ placement, health-checked rolling deploys, and a tested rollback path for every release.
  • Cost control: right-sized requests and limits, plus scale-to-need policies so idle clusters do not quietly drain the budget.
Common Questions

What teams ask before a Kubernetes engagement.

Don't see your question? Book a 30-minute architecture review and ask the founder directly.

Book a call →
Do we even need Kubernetes?+
Honestly, most teams under a few dozen engineers do not — and we will say so. Kubernetes buys you portability and a huge ecosystem, but it charges you a control-plane tax: cluster upgrades, node patching, RBAC, network policy, and usually a dedicated platform engineer to keep it healthy. Our default recommendation for scale-ups is Amazon ECS, the simpler container service, unless you have a specific reason to reach for Kubernetes. If a 30-minute review shows Kubernetes genuinely earns its complexity for your workload, we design and run it properly. If it does not, we tell you that too — our incentive is a system you can actually operate, not the most fashionable one.
What is the difference between this page and your Amazon EKS consulting?+
This page is about Kubernetes in general — the platform-agnostic decision of whether to use it, how to design a cluster, and how to migrate into or out of it. Our Amazon EKS consulting page is about Kubernetes on AWS specifically: EKS, Karpenter, IRSA, cluster upgrades, and the AWS-native details. If you already know you want managed Kubernetes on AWS, start there. If you are still weighing whether Kubernetes is the right model at all, start here. And if you conclude you do not need Kubernetes, Amazon ECS is usually the simpler alternative we reach for.
Can you help us move off Kubernetes if it is overkill for us?+
Yes — and we have done exactly that in production. A real client was running on DigitalOcean Kubernetes (DOKS) and did not need the cluster complexity for their workload, so we migrated them to Amazon ECS with zero downtime. Sometimes leaving Kubernetes is the right answer, and we treat that as a legitimate outcome rather than a failure. We will only recommend it when your workloads do not depend on Kubernetes-specific tooling and a simpler orchestrator would cut your operational overhead. You can read the full write-up in our DigitalOcean Kubernetes to Amazon ECS case study.
How do you design a production Kubernetes cluster?+
We start from your workloads and constraints, not a reference diagram. Cluster design covers node strategy and autoscaling, namespace and RBAC layout, network policy and ingress, secrets management, observability, and a rehearsed upgrade path so the cluster stays on a supported Kubernetes version. On AWS we build this on Amazon EKS. The goal is a cluster your own team can operate confidently — with clear runbooks and guardrails — not a black box that only we understand.
Do you only work on AWS, or other clouds too?+
Our production depth is on AWS — we are an AWS Advanced Tier Services Partner and run Kubernetes on Amazon EKS day to day. Kubernetes itself is deliberately portable, so the cluster-design, migration, and operational practices we bring apply wherever Kubernetes runs. That said, we are honest about where our proof is: if you want a partner with published AWS case studies and founder-led delivery, that is us. If your strategy is committed to a different cloud as the primary home, we will tell you plainly whether we are the right fit.
Is Kubernetes secure enough for compliance workloads?+
Kubernetes can absolutely run compliance-grade workloads — the security work is in the configuration layer, not the platform. That means least-privilege RBAC, network policies, secrets kept out of plain environment variables, image scanning in the pipeline, pod security standards, and audited change control. HAZERCLOUD is ISO 27001:2022 certified, so we build to the standard we operate under and slot the Kubernetes controls into the evidence trail your auditor expects. On AWS we layer this with the native controls covered under our Amazon EKS consulting.
Who actually does the work?+
Delivery is founder-led on every engagement — you are not handed to a junior bench after the sales call. We are an AWS Advanced Tier Services Partner, and the same people who scope your architecture review are the ones in the cluster. That is deliberate: Kubernetes decisions have long tails, and we want the person recommending an approach to be the person who has to operate it.
K8S
Weighing Kubernetes, or already running it?

30 minutes with our founder. One honest recommendation guaranteed.

Whether you're deciding if Kubernetes is worth it, designing a cluster, migrating into it, or wondering if you should move off it — start with a free architecture review directly with the founder. One concrete recommendation, no commitment, and we'll tell you plainly if the simpler path is the right one.

AWS Advanced Tier Services Partner · ISO 27001:2022 · Founder-Led Delivery

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