Software · Cloud and infrastructure

Kubernetes platforms

Production-ready Kubernetes clusters and the paved paths that let your teams deploy to them safely.

Kubernetes is powerful, but a bare cluster leaves every team to solve ingress, secrets, scaling and security alone. We build platforms on EKS, AKS, GKE or bare metal with those pieces already decided: GitOps delivery, autoscaling, network policies, certificates and dashboards, plus templates that turn a new service into a working deployment.

What we build

Managed clusters on EKS, AKS or GKE, or bare-metal clusters with Talos Linux
GitOps delivery with Argo CD or Flux, one repository per environment
Ingress, TLS certificates and DNS handled by cert-manager and external-dns
Autoscaling for pods and nodes with HPA, KEDA and Karpenter
Admission policies with Kyverno that block unsafe images and settings
Helm charts and service templates that give teams a paved path to production
Cluster upgrade run-books and tooling that keep versions in support

DemoInteractive · sample data

Try it live.

A working sample with made-up data. It runs in your browser; nothing is sent anywhere.

Rolling out a servicesample data

ops@admin:~$ kubectl get nodes
NAME             STATUS   AGE   VERSION
pool-a-7f2k9     Ready    6d    v1.35.3
pool-a-m3q8d     Ready    6d    v1.35.3
pool-spot-x4n2   Ready    2h    v1.35.3
ops@admin:~$ kubectl -n orders get pods

What it does well

Multi-tenant safety

Namespaces, quotas and network policies keep teams and their workloads apart.

Cost-aware scaling

Nodes scale with demand and use spot capacity where workloads can tolerate it.

Policy as code

Rules for images, resources and privileges are enforced at deploy time, not in reviews.

Built-in observability

Metrics, logs and traces from every workload appear without extra setup per team.

Automatic certificates

TLS certificates are issued and renewed automatically for every exposed service.

Planned upgrades

Clusters upgrade on a schedule, staging first, with deprecated APIs found early.

Questions

Do we really need Kubernetes?

Not always. If you run a handful of services, a managed container service or plain virtual machines may be simpler and cheaper. Kubernetes pays off with many services, several teams, bursty load or a need to run one platform across clouds. We will tell you honestly which side you are on.

Managed Kubernetes or our own clusters?

Managed services such as EKS, AKS and GKE remove control-plane work and suit most teams. Self-managed clusters on bare metal make sense for strict data residency, on-site hardware or GPU fleets. Either way we automate upgrades and keep everything in code.

How do you keep clusters secure?

Workloads run as non-root with read-only file systems where possible, images are scanned and signed, network policies deny traffic by default, secrets come from a vault, and admission policies reject anything that breaks those rules before it is deployed.

Services that go with it

Deployment and DevOpsAutomated pipelines that build, test and release your software the same way every time.Cloud setupA new cloud environment set up securely, with accounts, networks, access and costs organised from the start.Monitoring and SREMonitoring, alerts and reliability practices that tell you about problems before your users do.

Related software

DevOps toolingPipelines and automation that build, test and release your software the same safe way every time.Cloud platformsWell-organised cloud accounts, networks and guardrails, defined as code, that your teams can build on safely.Observability platformsMetrics, logs and traces in one place, with alerts that tell your team what broke and where to look.Serverless applicationsEvent-driven functions and APIs that run only when needed, scaling with demand and costing little when idle.