Docker and Kubernetes
From a single container to a production cluster
We deploy your applications on Docker and Docker Compose, and build Kubernetes clusters – on bare metal or on SUSE Virtualization with Rancher
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From compose file to production -
Kubernetes clusters on bare metal or VMs -
HA control plane on request -
One panel for every cluster -
Monitoring included
No egress bills ever
Built to your spec
GPU nodes ready
Flat monthly billing
What we set up, and how it fits together
For a single server, Docker with Compose is often all an application needs. We containerize your services, write clean compose files, set up a private registry, and configure restarts and updates – a compact stack that is easy to run and easy to move.
No hypervisor layer between your cluster and the hardware – nodes get full CPU, direct disk access, and GPUs where needed. We handle what bare metal makes tricky: networking, load balancing, and persistent storage across nodes.
VMs and Kubernetes clusters live on one platform, managed through Rancher – projects, users, and access in a single panel. Clusters are created and rebuilt in minutes, which makes environments cheap to spin up and safe to break.
For production clusters we build highly available topologies – several control plane nodes, workloads spread across workers, load balancing in front. A node failure then means rescheduling, not an outage.
Complete infrastructure power out of the box
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Production-grade Docker underneath
Read more Read lessStorage drivers, log rotation, registry access, and permissions – configured the way production requires, not a default install.
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Multi-service stacks in one file
Read more Read lessApplications, databases, and proxies described in a single Compose file – started, updated, and moved as a unit.
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A cluster built for production
Read more Read lessKubernetes on bare metal or virtual machines – with networking, storage, and access control ready from day one.
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One panel for everything
Read more Read lessEvery cluster, user, and project in Rancher – with role-based access your team actually understands.
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Services exposed safely
Read more Read lessIngress, TLS certificates, and load balancing – your applications face the internet properly.
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Resilient storage for stateful services
Read more Read lessPersistent volumes on replicated storage – databases and stateful services run in the cluster, not beside it.
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Automated workload scaling
Read more Read lessApplications scale out under load and back down when it passes – within the capacity you own.
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Private image registry
Read more Read lessYour container images stored on your own infrastructure – integrated with builds and cluster pulls.
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Visibility into every layer
Read more Read lessMetrics, logs, and alerts for nodes, pods, and applications – wired in during setup, not promised for later.
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Native Helm support
Read more Read lessFull compatibility with standard Helm charts for versioned and reproducible environments.
Who gets the most out of containers on dedicated servers
- Teams moving from manual deployments to orchestration
- SaaS products that ship updates without downtime
- Companies leaving managed Kubernetes over cost or lock-in
- AI and data teams scheduling GPU workloads
- Agencies and studios running many client applications
What we offer
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Server configuration
CPU, memory, NVMe, and GPU – node hardware picked for the workloads that will run on it, not the other way around.
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Management tooling
Rancher or Portainer CE for clusters, users, and projects – or a plain kubectl and GitOps workflow if your team prefers it lean.
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Storage and networking
Persistent volumes, ingress, and load balancing – matched to the applications that will actually run there.
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Registry and image delivery
A private registry on your infrastructure or your existing one – where images live and how they reach the cluster.
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Environment layout
Separate contours for development, staging, and production – isolated by namespaces, clusters, or dedicated nodes.
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Support model
Documented handover with your team in control – our engineers stay available on request for changes and upgrades.
FAQ
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Do I need Kubernetes, or is Docker Compose enough?
For one server and a handful of services, Docker Compose is usually the right answer – simple, transparent, and cheap to operate. Kubernetes earns its complexity when you need scaling across servers, rolling releases, or self-healing workloads. We tell you honestly which side of that line your project is on.
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What does running Kubernetes on bare metal involve?
Everything a managed provider hides: operating systems, cluster networking, load balancing, and persistent storage across nodes. That is exactly the part we deliver – and the economics work in your favor: managed platforms bill for every cluster hour and every gigabyte of traffic, while here the server rental is the whole bill.
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What does Rancher add on top of Kubernetes?
A management layer your whole team can use – clusters, projects, users, and permissions in one interface, plus centralized upgrades and monitoring. Engineers keep full kubectl access; everyone else gets a panel instead of a terminal.
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Can the cluster schedule GPU workloads?
Yes. GPU-equipped dedicated servers join the cluster as worker nodes, and workloads request GPUs like any other resource – a common setup for AI inference and data processing.
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What do we need to provide to get started?
A list of your applications and their images, expected load, and any requirements around storage, domains, and access. From there we propose the topology and hardware, agree on the plan, and start the setup – your team stays involved at the decision points, not in the plumbing.
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Which Kubernetes distribution do you install?
Standard CNCF-conformant distributions. On bare metal that is typically upstream Kubernetes or RKE2; on SUSE Virtualization, clusters are provisioned through Rancher with RKE2 or K3s. In every case your manifests, Helm charts, and tooling behave exactly the way the documentation says they should.
