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DevOps & Platform

Optimise the six pillars of best practice in Kubernetes.

We find the gaps, misconfigurations and cost leaks in your EKS, AKS, GKE or self-managed clusters, test how they behave under load and failure, and stay with you until the fixes are in.

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  • AWS Advanced Tier Services Partner
  • ISO 27001 certified

In short

VA2PT's Kubernetes Well-Architected Review (Kubernetes WAR) is an in-depth assessment of your clusters on Amazon EKS, Azure AKS, Google GKE or self-managed Kubernetes across security, reliability, performance, cost, operations and sustainability. It combines automated scanning with our in-house tools, performance benchmarking and chaos engineering experiments, covers GPU and AI workloads, and includes follow-up until the gaps are fixed.

Sound familiar?

  • Clusters that grew without a plan

    Kubernetes set up quickly for a launch rarely matches best practice for security, resource limits or upgrades.

  • No idea where it breaks

    Teams do not know which component needs to scale at what traffic level until an outage tells them.

  • Resilience that has never been tested

    Failover and retries look fine on paper but have never been exercised against real failures.

What we do

The work inside Kubernetes Well-Architected Review, run by senior engineers.

  • Architecture review

    Our in-house tools scan your cluster architecture, and we review how your teams operate, scale and test workloads today.

  • Security and configuration audit

    We check RBAC, network policies, pod security, secrets handling and image provenance against CIS Kubernetes Benchmark guidance and the EKS, AKS and GKE hardening guides.

  • Performance benchmarking

    We test performance, scalability and reliability, then build a dashboard that shows which resource needs to scale at what traffic point.

  • Chaos engineering

    We simulate failures such as latency injection, network partitions and CPU spikes, observe how the system behaves and report on what needs to improve.

  • Cost and right-sizing analysis

    We compare requests and limits against real usage, including GPU nodes for AI workloads, find idle capacity and recommend autoscaling and node strategies.

  • Remediation follow-up

    Unlike a one-off audit, we follow up on each finding with your team until it is closed.

How the engagement runs

  1. 1

    Gap analysis

    We scan your clusters and interview your team to understand how workloads are built, deployed and scaled today.

  2. 2

    Benchmark and test

    We run load tests and controlled chaos experiments with agreed blast radius and rollback plans.

  3. 3

    Report and prioritise

    You receive findings across all six pillars, each with its risk, fix and architectural reasoning.

  4. 4

    Fix and follow up

    We help implement the changes and follow up until the gaps are closed, then re-test.

What you get

  • Six-pillar Kubernetes review report
  • CIS benchmark and security findings
  • Kubernetes performance and scaling dashboard
  • Chaos experiment results with observed behaviour
  • Right-sizing and cost recommendations
  • Remediation tracker with follow-up

Tools we work with

  • Kubernetes
  • Amazon EKS
  • Azure AKS
  • Google GKE
  • kube-bench
  • Trivy
  • Kubescape
  • k6
  • Chaos Mesh
  • LitmusChaos
  • Prometheus
  • Karpenter

Questions buyers ask

What is a Kubernetes well-architected review?

It is a structured assessment of how your Kubernetes clusters are designed and run, measured against best practice across six pillars: operational excellence, security, reliability, performance efficiency, cost optimisation and sustainability. VA2PT's review combines automated scans with conversations with your team, benchmarking and chaos experiments, and ends with a prioritised list of fixes that we help you implement.

Is chaos engineering safe to run on our systems?

We design every experiment with a defined hypothesis, a limited blast radius and a way to stop it immediately. Experiments usually start in staging and only move to production with your approval and during agreed windows. The point is to discover weaknesses in a controlled way, rather than learning about them during a real outage.

Which Kubernetes platforms do you review?

We review managed services such as Amazon EKS, Azure AKS and Google GKE, as well as self-managed clusters. The checks cover both the platform layer, such as nodes, networking and upgrades, and the workload layer, such as resource limits, probes, RBAC and secrets. Managed services shift some responsibilities to the cloud provider, and the report reflects that.

Do you review clusters running AI or GPU workloads?

Yes. GPU nodes are often the most expensive and least understood part of a cluster. We check GPU scheduling and sharing, node pool sizing, autoscaling behaviour and whether training and inference workloads are isolated from the rest of the platform. Findings include cost estimates for idle GPU capacity and options such as spot or preemptible nodes.

How long does a review take?

Timing depends on the number of clusters and workloads. A typical review includes a discovery week, a period of scanning, benchmarking and experiments, and then report delivery. Follow-up continues after that until findings are closed. We agree on scope and timeline after an initial call.

Guides and field notes

What our engineers have written about Kubernetes Well-Architected Review: fixes, checklists and lessons from production.

All articles

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Talk to us about Kubernetes Well-Architected Review.

A 30-minute call with a senior engineer. We look at your setup, name the biggest risks and outline what we would do first.

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