Managed Kubernetes

The forward-looking container orchestration

Modern software development is characterized by change and complexity: containerized applications, distributed systems, and microservice architectures have fundamentally changed software deployment. While traditional infrastructures are reaching their limits, Kubernetes creates flexible, automated processes, self-healing systems, and dynamic resource allocation.

What companies struggle with when it comes to container orchestration

Scalability

Companies struggle with rigid infrastructures that cannot respond flexibly to peak loads. Manual scaling of containers leads to inefficiency and high operating costs. In a containerized environment, the ability to scale dynamically becomes a decisive competitive advantage.

High availability & fault tolerance

Traditional systems do not have automatic mechanisms to replace failed containers. This leads to downtime and manual recovery processes. In distributed container environments, high availability is not an option, but a mandatory requirement for stable applications.

Complex deployment

Software updates often involve complex and risky processes with potential downtime. Companies need strategies for seamless, controlled updates. With microservice architectures, error-free deployment becomes a key factor for system stability.

Network complexity

Communication between different services and containers is technically challenging. Traditional approaches require manual network configurations. With increasing containerization, intelligent network management is becoming a basic requirement.

Ressource management

Without intelligent distribution, companies waste computing capacity and pay for unused resources. The optimal placement of workloads is a massive challenge. Efficient resource scheduling is becoming the key to cost-conscious cloud infrastructures.

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How Kubernetes can optimize businesses

Kubernetes (abbreviated K8s) is an open-source orchestration platform that enables software developers and IT administrators to automatically manage containerized applications. This includes tasks such as deployment, scaling, monitoring, and operation.

Kubernetes coordinates all the necessary computer, network, and storage infrastructure—whether in a local data center or in the cloud with providers such as AWS, Azure, or Google Cloud. This allows companies to use their IT resources more efficiently and flexibly.

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Why Kubernetes alone is not enough

Although Kubernetes simplifies the operation of large-scale container landscapes, its efficient use requires comprehensive expertise. Implementation, ongoing maintenance, updates, and monitoring can be time-consuming and complex.

A management platform such as Medialine's simplifies these processes through automated workflows. This allows you to combine the advantages of Infrastructure as a Service (IaaS) with user-friendly self-service portals. A competent management team is necessary for reliable and productive operation.

Your advantage with Medialine

You can conveniently manage your Managed Kubernetes Service via a self-service portal and easily integrate your own systems and SaaS applications. We support you in connecting legacy systems and containerized workloads and offer maximum flexibility thanks to modern multi-tenancy solutions – regardless of whether your resources are located with us, at your premises, or in the public cloud.

You get a dedicated Kubernetes cluster and can view and configure all resources centrally – from CPU to storage. This allows you to tailor your Kubernetes cluster precisely to your requirements.

Want to learn more about Kubernetes?

In an era where agility and scalability of applications are becoming crucial, containerization and Kubernetes have become game changers. Thanks to them, the management and operation of applications has been revolutionized in recent years.

In our video, we show you the possibilities of Kubernetes & container orchestration and the advantages they offer.

How can I use Kubernetes?

Q&A

What does K8s mean?

Kubernetes (abbreviated K8s) is open-source orchestration software provided by Google since 2014. It enables software developers and IT administrators to organize, manage, monitor, and automate the deployment, scaling, operation, and administration of container environments.

What is Managed Kubernetes?

Managed Kubernetes is provided as a service. The provider takes care of commissioning, operation, and maintenance of the Kubernetes infrastructure, allowing developers and administrators to focus on the applications themselves.

What are Docker and Docker images?

Docker is a popular platform for containerization. A Docker image contains all the necessary components (code, dependencies, configurations) to make an application run in a container. Images are usually stored in registries such as Docker Hub or Harbor. Kubernetes uses container runtimes such as containerd or CRI-O by default to execute such images.

What challenges arise when Docker and Kubernetes are used together?

Starting with Kubernetes version 1.20, Docker-specific container runtime support (“dockershim”) was marked as deprecated and finally removed in version 1.24. This means that Kubernetes will use other container runtimes such as containerd or CRI-O to run containers on worker nodes in the future. For users of managed Kubernetes services such as GKE, EKS, or AKS, this means ensuring that there are no Docker dependencies at the runtime level for self-built node images or specialized setups. Applications and images usually do not need to be adapted unless they directly access Docker-specific functions (e.g., Docker socket) within the Kubernetes environment. In standard cases, the use of Kubernetes remains unchanged.

Will Docker images continue to be supported by Kubernetes?

Yes, Docker images can still be used in Kubernetes. This is because both Docker images and images from other tools now comply with the OCI (Open Container Initiative) image standard. Kubernetes runtimes such as containerd or CRI-O can retrieve and execute these images without any problems. So for the vast majority of workflows, nothing changes: container images built with Docker will continue to work under Kubernetes, regardless of which runtime they are executed with.