Cluster design and setup
AKS and EKS clusters built as code, with networking, access and environments planned before workloads move in.
Managed Kubernetes
Managed Kubernetes means specialists look after your clusters so your team can focus on its applications. We design and operate AKS and EKS clusters, standardise deployments with Helm and Argo CD, handle upgrades and monitoring within an agreed scope, and move existing services into containers.
AKS and EKS clusters built as code, with networking, access and environments planned before workloads move in.
Helm or Kustomize replacing one-off manifests, so every service is deployed the same way.
Cluster state kept in Git, making changes reviewable and easy to roll back.
Legacy services moved to Docker and Kubernetes, one step at a time, without a risky single cutover.
Version upgrades, capacity and fixes within an agreed scope, with regular reporting on the state of the platform.
A review of security, reliability and cost across access rules, network rules, autoscaling and alerts, with prioritised fixes.
Our engineers own an AKS platform in financial services, deploying through Azure DevOps and Argo CD under strict compliance requirements. They have also migrated legacy services to containers on EKS with GitLab CI, and restructured a business-critical platform into standard Helm deployments.
Something else? Write to us.
It covers the clusters and how you deploy to them: upgrades, monitoring, access, scaling and fixes. The exact scope is agreed in writing, and your team stays responsible for its applications unless we agree otherwise.
Round-the-clock on-call is not part of our standard service. Support hours and response times are agreed in writing before work starts. If you need 24/7 on-call cover, tell us early so we can say honestly whether we fit.
It usually follows the cloud you already use: AKS on Azure and EKS on AWS. We work with both, and the deployment approach with Helm and Argo CD stays similar on either.
Yes. We start with a health check of security, reliability and cost, fix what's risky, and then bring cluster configuration and deployments under code.