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Kubernetes

Microservices and deployment of containers

With Kubernetes, you can automatically deploy, manage and scale container applications. The open source platform orchestrates your containers efficiently, ensures reliability and simplifies the operation of distributed systems.

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From the idea to a running Kubernetes cluster

You don’t have to build Kubernetes alone. We accompany you step by step – and stay by your side afterwards.

Step 1

Analysis & concept

We review your systems, infrastructure and requirements and plan together which Kubernetes components, cluster structures and operating models make sense to use. This results in a lean cluster concept that is not unnecessarily complex and can be easily operated later on.
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Step 2

Structure & integration

We set up Kubernetes, nodes, deployments, services, Ingress, ConfigMaps and suitable integrations to suit your needs. A clean pod and resource design ensures that applications run clearly and operations can be controlled efficiently.
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Step 3

Commissioning & containerization

Your Kubernetes cluster goes live, applications are automatically rolled out, managed and scaled. This gives you transparency about the availability, performance and status of your infrastructure - instead of repeating manual deployment processes that nobody documents.
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Step 4

Support & Operation

On request, we can take over the ongoing operation completely or support your team with support and training - so that your Grafana stack remains stable, up-to-date and practical.

Kubernetes features

Container applications that have themselves under control: Kubernetes automatically provides your workloads, scales them with the load and keeps them running – even if something fails.

Automatic scaling

Kubernetes uses Horizontal Pod Autoscaling to adjust the number of your containers to the current load. Your application remains stable – and you only pay for the resources you really need.

Self-healing

Faulty containers are automatically detected and restarted. If a container crashes, Kubernetes replaces it without manual intervention – for high availability without night shifts.

Service detection and load balancing

Integrated service discovery lets containers find each other and communicate with each other. Network traffic is distributed evenly so that no individual instance is overloaded.

Deployments without downtime

You roll out new versions gradually and roll them back just as quickly if problems occur. This allows you to bring updates live without your users noticing an interruption.

Cross-cloud & portable

Whether on-premise or in the cloud: your workloads run the same everywhere. This avoids lock-in and makes switching or hybrid operation between environments plannable.

Repeatable via helmet

With Helm charts, you describe complete applications as versioned, reusable packages. Deployment and updates are standardized instead of being reassembled each time.

Shaping IT together

We help you to strategically plan, technically implement and sustainably operate modern IT and monitoring solutions. We combine consulting, implementation and support to create a tailor-made service that is geared to your requirements. Our aim is to make complex systems transparent, stable and efficient to use.

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Kubernetes Training

Learn the basics of container orchestration with Kubernetes

The Kubernetes training course offers a practical introduction and enables you to gain initial experience from a developer and operations perspective. You will acquire practical knowledge through numerous practical exercises.

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Managed Kubernetes

From start to deploy in just a few minutes

Our Managed Kubernetes service allows you to easily orchestrate and scale your containerized applications. We take care of the operation of the Kubernetes clusters so that you can concentrate fully on the development and provision of your workloads – be it for applications, CI/CD pipelines or data processing. This means you can use modern IT processes and count on the support of our MyEngineers if required.

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Know-how

More know-how on the topic of Kubernetes

Automation instead of copy & paste

Ansible basics

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Last updated: 28.05.2026 Imagine you have to install the same packages, start services and adjust configurations on 10 servers. Manually via SSH, with copy-paste commands…

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Questions & Answers

The most frequently asked questions about Kubernetes

What is Kubernetes simply explained?

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Kubernetes is an open source system for automating the provision, scaling and management of containerized applications. It helps to efficiently distribute applications in containers on different servers and monitors their status to automatically rectify failures. As a result, Kubernetes makes it easier to manage complex applications in the cloud or on local servers by optimizing the use of resources and simplifying operations.

What is the difference between Docker and Kubernetes?

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Docker is a platform for creating, deploying and running containers that allows you to run applications in isolated environments. Kubernetes, on the other hand, is an orchestration platform that helps you to automatically manage and scale many containers and ensure their availability. While Docker focuses on containerizing applications, Kubernetes manages the entire infrastructure on which these containers run.

Which containers does Kubernetes support?

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Docker is a platform that makes it possible to isolate and run applications in containers, making them more portable and easier to manage. Kubernetes, on the other hand, is an orchestration tool that automatically manages, scales and deploys many containers to efficiently run applications on a large scale. While Docker is responsible for creating and executing individual containers, Kubernetes coordinates and manages containers in distributed systems.

What is a Kubernetes cluster?

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A Kubernetes cluster consists of a group of computers that work together to operate and manage containerized applications. It consists of a master node, which is responsible for control and administration, and several worker nodes, which execute the containers. The cluster makes it possible to scale applications across different nodes, distribute loads and ensure reliability.

Why is Kubernetes called K8s?

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Kubernetes is often abbreviated as "K8s", as there are eight letters between the first and last letters "K" and "s". This abbreviation is a practical spelling to simplify the longer name. It follows a common pattern in IT, where letters are replaced by numbers, as in "i18n" for "Internationalization".

What is Kubernetes Helm?

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Kubernetes Helm is a package manager for Kubernetes that simplifies the management of applications and their dependencies within a cluster. Helm can be used to install, update and version applications as charts, i.e. predefined packages of Kubernetes resources. This facilitates the deployment and management of complex applications in Kubernetes by providing standardized and reusable configurations.

What is a pod in Kubernetes?

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A pod is the smallest and simplest unit in Kubernetes, which comprises one or more containers that run together on one node. Containers within a pod share network and storage volumes so that they can work together efficiently. Pods enable the management and scaling of container applications by using them as a logical unit for execution, management and orchestration.

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