Cloud
Managed or self-run
Clusters on AWS, Azure or Google Cloud, wired into the identity, networking and cost model you already use.
Container Orchestration
Kubernetes your team can actually operate
A cluster is easy to start and hard to run. We build container platforms with the networking, storage, security and delivery pipeline already solved — so your developers ship features instead of learning etcd.
Footprint
One platform, three very different places
The hard part is rarely the first cluster. It’s keeping cloud, data centre and edge behaving the same way once there are twenty.
On-premises
OpenShift · OpenStack
Full-stack clusters on your own hardware, including the storage and load balancing a cloud would otherwise hand you.
Edge
Small, remote, unattended
Lightweight clusters that survive bad links and no local staff, managed from the same control plane as everything else.
Scope
What a production cluster actually needs
Installing Kubernetes takes an afternoon. Everything below is what separates a demo cluster from one you can put a customer on.
- Cluster architectureHighly available control planes, node pools sized to the workload, and upgrades that don’t need a maintenance window.
- Networking & ingressCNI choice, service mesh where it earns its place, and ingress that terminates TLS properly.
- StoragePersistent volumes backed by Ceph or your cloud’s storage, with snapshots that have been restored at least once.
- Security policyRBAC, network policies, secrets management and image scanning enforced by the platform, not by convention.
- ObservabilityPrometheus and Grafana wired in from day one, with alerts that mean something at 3am.
- Delivery pipelineGitOps with ArgoCD, so what’s running in the cluster matches what’s in the repository.
At scale
When hundreds of services stop fitting in anyone’s head
Past a certain size, manual deployment isn’t slow — it’s impossible. The platform has to take over the parts a person used to remember.
Developers build features. Operations get control and visibility instead of tickets.
- Auto-scaling and self-healing so capacity follows demand rather than a spreadsheet
- Integrated CI/CD so every service deploys the same way
- Centralised logging and alerting so one dashboard covers every region
- Policy enforced by the cluster network policy, secrets and RBAC, not tribal knowledge
How we work
From first cluster to day two
- 01
Assess
What you’re running, what’s failing, and whether Kubernetes is genuinely the right answer for it.
- 02
Design
Cluster topology, networking, storage and policy, written down before anything is installed.
- 03
Build
Deployed as versioned configuration, with the pipeline and monitoring landing at the same time as the cluster.
- 04
Operate
Upgrades, capacity and incident response — or a handover with runbooks your team will actually use.
Why NubeStack
Anyone can install Kubernetes. Keeping it healthy is the job.
The interesting problems start on day two — upgrades, blast radius, the storage layer, the thing that only breaks at scale.
The whole stack, not just the API
Networking, storage, security and automation are where clusters actually go wrong, so that’s where most of our work is.
We run what we build
We operate clusters as well as deliver them, which changes the decisions you make about upgrades and blast radius.
Handover is part of the job
Runbooks, architecture notes and your engineers in the room from the first design session.
Tell us what your clusters look like today
A first platform, a fleet that has grown awkward, or a migration off something that stopped being supported — we'll tell you what's worth changing.
