Run apps in containers that scale with demand, recover on their own and deploy safely.
Stack we work in
Figures as of Oct 2026
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Kubernetes lets your applications scale up when traffic grows, restart themselves when something fails and ship updates without downtime.
We help you get those benefits without the operational burden. We package applications as containers, design and build clusters on Amazon EKS, Azure AKS or Google GKE, set up GitOps deployment with Helm and Argo CD, and tune autoscaling, security and costs. We also review and fix existing clusters that have become hard to run.
New versions go out all at once, and a bad release means a scramble to roll back by hand.
The cluster runs an old version, add-ons are out of date, and the person who built it has moved on.
Traffic spikes cause timeouts because pods or nodes do not scale fast enough, or scale and never come back down.
Nodes sit mostly idle because resource requests were guessed, and nobody knows which team uses what.
Containers run as root, secrets sit in config files and everyone has admin access to production.
Outcomes
Containerize existing applications and run them on a managed cluster with automated deployments.
Give each service its own release cycle, scaling rules and monitoring on a shared platform.
Scale workers up and down from queue length with KEDA instead of running them all day.
Run model APIs, batch jobs and GPU workloads on Kubernetes next to your application services.
Learn moreBring an outdated cluster to a supported version, fix risky settings and put it under code.
Consistent development, staging and production clusters created from the same code.
A written review of your applications or current clusters, with risks, costs and a prioritized plan.
Terraform or OpenTofu for clusters, networking and add-ons, in your repository.
Secure Dockerfiles and Helm charts or Kustomize overlays for each service.
CI pipelines that build and scan images, and Argo CD or Flux that deploys them from Git.
Admission policies, dashboards and alerts for cluster and application health.
Guides for upgrades, scaling, incidents and onboarding new services, plus sessions with your team.
Decide whether Kubernetes fits, and how to shape it.
Built with
Package applications so they run the same everywhere.
Built with
Clusters defined in code, deployments driven from Git.
Built with
Handle traffic peaks without paying for idle capacity.
Built with
Keep clusters patched, observable and locked down.
Built with
Our assessment tells you whether Kubernetes fits, and we say so when a simpler platform would do.
Clusters and deployments are defined as code and delivered with GitOps, so every change is reviewed and repeatable.
Policies, access controls and autoscaling are part of the design, so clusters stay secure without overspending.
20+ certified cloud engineers build the platform, and managed support covers upgrades and incidents.
Featured case study
Every business already owns the sensor network it needs. CCTV records everything and tells you nothing — until someone reviews the footage, usually days after the loss.
Read the case study
We review your applications, current hosting, release process and team, and check whether Kubernetes is the right fit.
You receive Readiness report and recommendation
We design the clusters, networking, security model, deployment flow and monitoring, and estimate running costs.
You receive Platform architecture and cost estimate
One or two services are containerized and deployed to a non-production cluster to prove the setup.
You receive Working pilot on a test cluster
Production clusters, GitOps pipelines, policies, autoscaling and observability are built in code with your team.
You receive Production-ready clusters in your account
Services move over in stages, each with a tested rollback, while the old hosting keeps running.
You receive Workloads live on Kubernetes
We train your team and hand over runbooks, or keep running upgrades and support under a plan.
You receive Runbooks, training and support plan
Tech stack
Engagement
A short, fixed-price review of your applications or existing clusters, with a clear recommendation.
Cluster build, GitOps and migration of workloads against an agreed scope.
Engineers who run upgrades, add services and handle incidents with your team.
It depends on the number of services, clusters and environments, whether you are starting fresh or fixing an existing setup, and whether you want ongoing support. After a short assessment we send a written estimate with scope, timeline and team. Cloud charges are billed to your own account. As a guide, a Kubernetes readiness or health assessment usually costs $3,000 to $10,000, and a production cluster build with GitOps and monitoring $15,000 to $60,000 or more (USD).
Not always. If you run a handful of services with steady traffic, a managed container service such as Amazon ECS, Azure Container Apps or Google Cloud Run is often simpler and cheaper to run. Kubernetes pays off when you have many services, several teams, variable load or portability needs. We tell you which fits before you commit.
All three are mature. The best choice usually follows the cloud you already use, your identity provider and your team's skills. GKE has strong built-in automation, AKS fits well with Microsoft Entra ID, and EKS suits teams already deep in AWS. We explain the trade-offs for your case.
Yes. We often start with a health check covering versions, security, resource settings, costs, deployments and monitoring, then fix the most urgent issues first. Many teams come to us with clusters that work but nobody wants to upgrade.
Developers merge a change, the CI pipeline builds and scans the image, and Argo CD or Flux applies the new version from Git. Rollouts can be gradual, with automatic rollback if health checks or error rates fail.
We use role-based access tied to your identity provider, private clusters where possible, network policies, admission policies that block unsafe settings, image scanning and runtime detection, and regular version upgrades. Secrets come from a secrets manager, not from Git.
It can if clusters are oversized. We set resource requests from real usage, scale nodes with Karpenter or Cluster Autoscaler, use spot capacity where safe, and track spend per team or service with Kubecost or OpenCost.
Managed Kubernetes versions are supported for a limited time, so upgrades need a routine. We check deprecated APIs and add-on compatibility, upgrade a non-production cluster first, then production in a planned window. We can run this for you on a schedule.
Yes. We can build the platform and hand over, pair with your engineers while they learn it, or cover only the parts your team does not. We document every decision so the platform does not depend on us.
You do. Clusters run in your cloud accounts, Terraform, Helm and GitOps code live in your repositories, and you own the code and IP we build for you.
We start with a readiness or health assessment, usually 1 to 2 weeks, then send a written estimate. A production platform for a few services typically takes 6 to 12 weeks. We need access to your cloud accounts and code repositories.
We offer managed support covering monitoring, incident response, version upgrades and security patches, or we train your team to run it.
Book a call with our team. We will review your setup and outline the architecture, steps and next actions.
