Managed Kubernetes

Managed Kubernetes for stable and scalable container platforms

Container platform for scalable applications

We manage your Kubernetes infrastructure, including the operating system, cluster management, monitoring, and operations.
Your developers can focus on applications—we’ll handle the stable operation of the platform.

  • Operation of the Kubernetes platform, including updates, monitoring, and incident management

  • Operation in private cloud, public cloud, or hybrid environments

  • Scalable infrastructure for container-based applications

Container platform for scalable applications

We manage your Kubernetes infrastructure, including the operating system, cluster management, monitoring, and operations.
Your developers can focus on applications—we’ll handle the stable operation of the platform.

  • Operation of the Kubernetes platform, including updates, monitoring, and incident management

  • Operation in private cloud, public cloud, or hybrid environments

  • Scalable infrastructure for container-based applications

The Challenges of Modern Applications

Modern applications often consist of many individual microservices.
These are typically run in containers and must be reliably orchestrated, scaled, and monitored.

Operating such platforms is complex. Applications run across multiple servers, must communicate with one another, and must remain stable and scalable at the same time.

This is where Kubernetes comes in.

Kubernetes handles the automated deployment of applications in the form of containers.
The containers are launched and managed on the available resources within the cluster.

This allows new applications or updates to be rolled out consistently without having to manually configure individual servers.

When the load increases, Kubernetes automatically launches additional container instances.
These are distributed across available nodes in the cluster.

When the load decreases, Kubernetes reduces the number of instances again.
This ensures that resources are used efficiently and applications remain accessible even during peak loads.

If a container or node fails, Kubernetes detects it automatically.

The affected containers will be restarted or moved to other servers.
This allows applications to continue running even if infrastructure issues arise.

Modern applications often consist of many individual services.

Kubernetes ensures that these services:

  • be able to communicate with each other

  • be scaled correctly

  • be updated in a controlled manner

This is what makes the operation of complex microservice architectures feasible in the first place.

Challenges in Kubernetes Operations

  • Cluster architecture

  • Network and Load Balancer Configuration

  • Security updates

  • Monitoring and Logging

  • Backup and Recovery

Running a Kubernetes platform in production requires specialized expertise.

In addition to the actual infrastructure, numerous components must be operated, monitored, and regularly updated.

Many companies do not want to maintain this effort internally on a long-term basis.

This is where our Managed Kubernetes Service comes in.

>70%

Most companies view the operation of Kubernetes as significantly more complex than traditional infrastructure.

60%

of companies report that they lack sufficient internal expertise to ensure stable Kubernetes operations.

Our Managed Kubernetes Platform

Operation of the Kubernetes Control Plane

We run the core Kubernetes components, such as the API server, scheduler, and control plane.

This includes maintenance, updates, and monitoring of the platform components.

Operation of the Worker Nodes

The worker nodes provide the computing resources for containers.

We handle the operating system, updates, and stability of the nodes.

Load Balancing and Ingress

We provide a standardized infrastructure for load balancing and service access.

This allows applications to be deployed securely and reliably.

Persistent Storage

We provide persistent storage for applications that require data storage.

This allows databases or applications to run using persistent storage.

Monitoring and Alerting

The platform is continuously monitored.

System status, resource usage, and cluster components are analyzed, and any issues are automatically reported.

Incident Management

In the event of a malfunction, our operations team will handle the analysis and resolution.

Depending on the service level, operations are conducted during business hours or on a 24/7 basis.

Unsere Managed Kubernetes Plattform

Private Cloud

Physically isolated infrastructure for applications with particularly high security requirements.

Suitable for environments with strict compliance requirements.

Public Cloud

Flexible and rapidly scalable infrastructure for dynamic applications.

Resources can be expanded on short notice.

Hybrid operation

Workloads can be distributed across different infrastructures.

This ensures that the platform remains flexible and independent of individual cloud providers.

Platform architecture

The platform is based on a standardized Kubernetes architecture. Applications are organized into namespaces and pods and can be run independently of one another. This allows for a clear separation between development, testing, and production environments. Key components include:

Kubernetes Control Plane

Worker Nodes

Container Registry

Load balancer

Persistent Storage

Integration into DevOps processes

CI/CD Integration

 

The platform supports automated build and deployment processes.

New versions of applications can be tested and deployed automatically.

Infrastructure as Code

The infrastructure can be provisioned and managed automatically using tools such as Terraform.

This ensures a reproducible and documented infrastructure.

Container Registry

Container images are stored and versioned centrally.

This allows applications to be deployed in a consistent and controlled manner.

Scalable platform models

Development platform

Suitable for:

  • Development environments

  • Test systems

Features:

  • affordable entry point

  • Standard SLA

  • no high availability

Standard platform

Suitable for:

  • smaller production systems

  • stable applications

Features:

  • multiple worker nodes

  • optional 24/7 operation

Scalable platform

Suitable for:

  • large-scale applications

  • highly available systems

Features:

  • highly available clusters

  • Geographical redundancy

  • Autoscaling

Extensible platform

Advanced Monitoring Platform

Integration of Prometheus, Grafana, and Alertmanager for detailed application monitoring.

Logging infrastructure

Centralized collection and analysis of logs from containers and infrastructure.

Certificate Management

Automated management and renewal of TLS certificates for applications.

Secret Management

Secure management of login credentials and API keys within the platform.

Automatic scaling

Predictable scalability

Resources can be overbooked on short notice to handle peak loads.

This ensures that costs remain predictable while still leaving sufficient capacity in reserve.

Dynamic scaling

When the load fluctuates significantly, additional worker nodes can be started automatically.

Billing is based on usage.

Typical use cases

container-based applications
Microservice architectures
DevOps platforms
Private clients
Software products with frequent releases