Containers & Kubernetes in Production

Containers solve an old problem: applications run reproducibly, regardless of which host they currently land on. But the path from a single container to a resilient production system leads through questions every team eventually asks: how does a container restart after a failure, how do containers get resource limits, how do they reach the network, how is an update rolled out without downtime. That is exactly where we come in.

What we set up: We set up container environments for production and staging, sized to your team and your operation. For smaller setups, a cleanly configured Docker or Podman setup with a few services is often enough. When multiple hosts, automatic rescheduling and rolling updates are needed, we operate Kubernetes with a configuration your team still understands, not only our tools. Both paths are legitimate; we recommend the one that fits your operation, not the most elaborate one.

What we do in operations: Container environments want to be maintained: image bases age, security updates for base images need to be rolled in, resource limits no longer fit after the first growth spurt, the monitoring shows states nobody interprets. We take over this ongoing work: image updates with verified versions, resource tuning, cleanup of outdated workloads and regular reviews of the cluster configuration.

What you get: A container environment that deploys reproducibly, self-heals during failures and is readable in its documentation. Staging and production differ only in known, documented points. Your team deploys through the pipeline without having to worry about host details. And when something is unclear, the same engineer who operates the environment talks to you.

When this fits you: This service fits teams that use containers but run them on the side, companies shortly before the step from one host to several, and environments with a Kubernetes cluster that has grown beyond what anyone can fully see. The switch from Docker to Podman as a licensing topic is also a common trigger.

How we work: We start with an inventory: which containers run, how are they started, where do configurations and secrets live. From that comes a target picture for production and staging that we implement step by step. Ongoing care runs in one of our billing models; details are on the services overview.

Containers and CI/CD pipelines are an established pair: deployments run through the pipeline, the cluster receives them. You can read how we build pipelines on our CI/CD page. For the foundation underneath, the hosts themselves, see our Linux administration page.

Contact Us Today, and we will discuss which container operation fits your team and your application.