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Focus area: Platform, cloud, and architecture · Containers and orchestration

Kubernetesasaproductiveplatform,notasanendinitself.

We build Kubernetes platforms that run elastically, can be changed traceably, and have a clear handover picture. Cluster architecture, delivery, security, and observability are designed as one unit. We say openly when Kubernetes is not the right answer.

Book a scoping callEngagement packages ↓
Cluster architecture and node pool designGitOps delivery with Argo CD or FluxIngress, mTLS, and service mesh as neededObservable workloads with logs, metrics, and traces

Engagement packages

Every package starts from a clear objective.

Each package starts with a worked-out architecture and ends with a clean handover to your operations team, and we agree the scope and the investment frame together after a first inventory of the work at hand.

2 – 3 weeks

Start here

Cluster review

Structured assessment of your current Kubernetes environment or eligibility review for a planned deployment. We provide a written classification with recommendations for architecture, delivery, and operation.

Included

  • Assessment of cluster and node architecture
  • Delivery and GitOps maturity
  • Security and tenant isolation
  • Observability and incident readiness
  • Recommendation for next steps

Best suited for

Organisations already using Kubernetes that want to clean up structurally, or that want to evaluate entering Kubernetes responsibly.

Book a scoping call
Cluster platform

Engagement 01

Cluster platform

8 – 14 weeks
Workload migration

Engagement 02

Workload migration

6 – 12 weeks

How we work

Our approach.

Every engagement follows a repeatable course from analysis through implementation into ongoing operation.

01

Check the fit

We openly check whether Kubernetes is the right lever. A single container service or a PaaS component is often the better answer.

02

Architecture

Cluster shape, tenant model, network, and delivery strategy are set down in writing. Security and compliance requirements are part of the architecture.

03

Build

The platform is built via infrastructure as code and GitOps. Workloads are onboarded iteratively, with observability and recovery procedures from the start.

04

Operation

We define upgrade paths, backup strategies, and incident procedures together with your operations team. The platform can then be run independently.

Typical use cases

Where this work carries the most weight.

A selection of typical engagements, without drawing a closed list, so requests beyond these areas are explicitly welcome.

Several in-house developments are to be brought onto a shared platform with clear multi-tenancy.

An existing cluster landscape should be consolidated and made traceable.

Workloads with strongly varying load should be operated elastically.

A productive migration project from virtual machines into containers.

Building a dedicated platform for data pipelines or ML workloads.

Common questions

What decision-makers usually ask.

Answers to the questions we are asked most often during the framing of an engagement.

4 questions

Often not. For clearly scoped applications, Azure App Services, Container Apps, or classic VM setups are often the better choice. We recommend Kubernetes when multi-tenancy, a large number of different workloads, or specific requirements justify it.

Next step

Let's walk through your initiative together.

Where a structured engagement begins

Start a project

Office

  • Karlsbad
    Auf der Hub 38
    76307 Karlsbad, Germany
  • Remote
    Distributed team
    Available internationally