23 Beste Container-Orchestrierungssoftware im Test 2026

Amazon Elastic Kubernetes Service (Amazon EKS) is a managed Kubernetes service that simplifies deploying, managing, and scaling containerized applications using Kubernetes on AWS. It's built for developers and IT teams who want to leverage AWS infrastructure for their Kubernetes workloads.

Why I picked Amazon EKS: EKS provides tight integration with AWS services, making it a natural choice for teams already utilizing AWS. It automatically manages the availability and scalability of Kubernetes control plane nodes. You get built-in security and compliance features to meet regulatory requirements. EKS also offers flexibility in deploying applications across hybrid and multi-cloud environments, aligning well with its focus on AWS users.

Standout features & integrations:

Features include automatic scaling, which helps adjust resources based on application demand. EKS offers managed node groups, simplifying the process of running and managing worker nodes. The service also provides integrated monitoring and logging to keep track of application performance and health.

Integrations include Amazon EC2, Amazon VPC, AWS Identity and Access Management (IAM), AWS CloudFormation, AWS CloudWatch, AWS Fargate, AWS Lambda, Amazon S3, AWS App Mesh, and AWS CodePipeline.

Google Cloud Run is a fully managed service for deploying and managing containerized applications in a serverless environment. It's designed for developers and teams that want to run applications without managing the underlying infrastructure, focusing on building and deploying services quickly.

Why I picked Google Cloud Run: It offers serverless computing, allowing you to run containers without managing servers. The service automatically scales your applications based on traffic, ensuring optimal performance. Cloud Run supports any language or library, providing flexibility in application development. It integrates with Google Cloud services, making it a great option for teams already using Google's ecosystem.

Standout features & integrations:

Features include automatic scaling, which adjusts resources based on demand. It provides a fully managed environment, so you don't need to worry about server maintenance. The service also offers easy deployment, allowing you to deploy from source or container images with minimal setup.

Integrations include Google Cloud Pub/Sub, Google Cloud Storage, Google BigQuery, Google Cloud SQL, Firebase, Google Cloud Functions, Google Cloud Build, Google Kubernetes Engine, Google Cloud Monitoring, and Google Cloud Logging.

Google Cloud Build is a fully-managed continuous integration service that allows developers and DevOps teams to build, test, and deploy software quickly. It is primarily used by teams looking to automate their build and release processes for faster development cycles.

Why I picked Google Cloud Build: Its continuous integration capabilities make it ideal for teams needing quick and reliable build automation. Cloud Build supports multi-cloud environments, allowing you to deploy across different platforms. It offers a serverless experience, so you don't need to manage infrastructure, focusing instead on your development tasks. Additionally, its integration with Google Cloud Platform services enhances its functionality for users already in the Google ecosystem.

Standout features & integrations:

Features include build triggers, which automate builds based on changes in your source code. It provides detailed logging and monitoring, giving you insights into the build process. Google Cloud Build also supports custom build steps, allowing you to tailor the build pipeline to your specific needs.

Integrations include GitHub, Bitbucket, Docker Hub, Google Cloud Storage, Google Kubernetes Engine, Slack, Jira, Cloud Source Repositories, Pub/Sub, and BigQuery.

Google Kubernetes Engine (GKE) is a managed Kubernetes service designed for developers and IT teams to run containerized applications. It provides automated operations and scalability, catering to businesses needing efficient workload management across multiple environments.

Why I picked Google Kubernetes Engine (GKE): GKE supports advanced AI workloads with up to 65,000-node clusters, making it ideal for resource-intensive applications. Its built-in security and observability features ensure your team can maintain high standards without extra overhead. GKE's Autopilot mode offers a serverless experience with per-pod billing, enhancing cost efficiency. The platform's multi-cluster management through fleets simplifies resource allocation for complex environments.

Standout features & integrations:

Features include enhanced security through private networking and GKE Sandbox. It offers autoscaling and auto-updating capabilities to keep your applications running smoothly. The built-in logging and monitoring provide valuable insights into your workloads.

Integrations include Google Cloud Storage, Google Cloud Monitoring, Google Cloud Logging, Google BigQuery, Google Cloud Pub/Sub, Google Cloud Functions, Google Cloud Build, Google Cloud SQL, Google Cloud IAM, and Google Cloud DNS.

Red Hat OpenShift Container Platform is an enterprise-grade Kubernetes application platform that provides developers and IT teams with the tools to build, deploy, and manage containerized applications. It's ideal for businesses that need a reliable and scalable solution for their application development and deployment processes.

Why I picked Red Hat OpenShift Container Platform: The platform offers extensive enterprise support, making it a reliable choice for businesses needing robust infrastructure. It provides a consistent hybrid cloud foundation, enabling you to deploy applications across different environments. OpenShift includes developer tools that simplify application building and deployment. Its security features, like integrated security controls, ensure your applications are protected throughout the lifecycle.

Standout features & integrations:

Features include automated operations, which handle routine tasks to reduce manual intervention. It offers a developer-friendly environment with integrated CI/CD pipelines, streamlining application development. The platform's monitoring and logging capabilities provide insights into application performance and health.

Integrations include Jenkins, GitHub, Docker, Prometheus, Grafana, Ansible, Elastic Stack, Splunk, Atlassian Jira, and Red Hat Ansible Automation Platform.

VMware Tanzu Kubernetes Grid is an enterprise-grade Kubernetes solution designed for infrastructure architects and application developers. It simplifies the deployment and management of Kubernetes across multi-cloud environments, offering high availability and scalability for containerized applications.

Why I picked VMware Tanzu Kubernetes Grid: It provides automated multi-cluster operations and validated integrated services, ensuring consistent management across on-premises and public cloud settings. Its advanced networking capabilities and 24/7 VMware support differentiate it from other solutions. These features make it ideal for teams looking to enhance their Kubernetes operations across various environments. The platform's flexibility allows your team to manage Kubernetes with ease.

Standout features & integrations:

Features include automated multi-cluster operations, high availability, and advanced networking. It also offers validated integrated services that ensure comprehensive management of your Kubernetes deployments. The platform's support for consistent management across different environments is a key advantage.

Integrations include VMware vSphere, VMware NSX-T, VMware Harbor, VMware Tanzu Mission Control, VMware Tanzu Observability, VMware Tanzu Service Mesh, VMware Tanzu Build Service, VMware Tanzu Application Catalog, VMware Tanzu Application Service, and VMware Tanzu Greenplum.

DigitalOcean Kubernetes is a managed Kubernetes service designed for developers and small to medium-sized businesses looking to deploy, manage, and scale containerized applications effortlessly. It offers an intuitive interface and straightforward setup, making it accessible even to teams with limited Kubernetes experience.

Why I picked DigitalOcean Kubernetes: Its simplicity and ease of use make it a great choice for teams new to Kubernetes. The platform provides a user-friendly dashboard, allowing you to manage clusters with minimal effort. It automates many of the complex tasks associated with Kubernetes, such as scaling and updates. DigitalOcean Kubernetes also offers predictable pricing, which can be beneficial for budget-conscious teams.

Standout features & integrations:

Features include one-click application deployment, which simplifies the process of launching new applications. It provides automated backups, ensuring your data is safe and recoverable. The platform also features integrated monitoring and alerts, helping you keep track of your application's health and performance.

Integrations include GitHub, GitLab, Prometheus, Grafana, Helm, Terraform, Docker, Jenkins, Ansible, and Elastic Stack.

Microsoft Azure Kubernetes Service (AKS) is a managed Kubernetes service designed to simplify deploying, managing, and scaling containerized applications using Kubernetes on Azure. It's aimed at developers and IT professionals who want to leverage Azure's infrastructure and tools for their Kubernetes workloads.

Why I picked Microsoft Azure Kubernetes Service (AKS): AKS provides seamless integration with Azure services, making it a top choice for teams already using Azure. It offers automated upgrades and patching, reducing the maintenance workload for your team. With Azure Active Directory integration, you can manage access and security efficiently. The service also supports monitoring and diagnostics, giving you insights into your applications' performance and health.

Standout features & integrations:

Features include automated scaling, which adjusts resources based on demand. AKS provides a developer-friendly command-line interface for managing clusters and applications. The service also offers built-in CI/CD capabilities, enabling you to streamline your development workflows.

Integrations include Azure Active Directory, Azure DevOps, Azure Monitor, Azure Policy, Azure Security Center, Azure Virtual Network, Azure Blob Storage, Azure Load Balancer, Azure Functions, and Azure Logic Apps.

Kubernetes is an open-source container orchestration platform designed for automating deployment, scaling, and operations of application containers. It's widely used by developers and IT teams looking to manage complex containerized applications efficiently.

Why I picked Kubernetes: It offers unmatched flexibility, allowing you to tailor it to your needs. It features automated deployment, scaling, and management of containerized applications, which is ideal for teams seeking open-source solutions. Its self-healing capabilities ensure that your applications are always running optimally, reducing downtime. Additionally, Kubernetes supports a wide range of workload types, making it versatile for various use cases.

Standout features & integrations:

Features include automated rollouts and rollbacks, which help manage updates with ease. Its load balancing and service discovery features ensure efficient traffic distribution. Kubernetes also provides storage orchestration, allowing you to automatically mount the storage system of your choice.

Integrations include Docker, Prometheus, Grafana, Helm, Jenkins, Istio, Fluentd, Linkerd, Calico, and CoreDNS.

OpenStack Magnum is a container orchestration service specifically designed for OpenStack environments. It's commonly used by enterprises and IT teams that rely on OpenStack for managing virtualized resources and want to extend capabilities to container orchestration.

Why I picked OpenStack Magnum: It integrates directly with OpenStack, offering a seamless way to manage containers within this ecosystem. It provides container orchestration engines like Kubernetes, Docker Swarm, and Apache Mesos, making it versatile for different needs. The tool's integration with OpenStack's identity service ensures secure access and management of resources. Magnum also supports multiple container technologies, aligning with its focus on OpenStack environments.

Standout features & integrations:

Features include automatic scaling, which adjusts your resources based on demand. Its multi-tenancy support ensures that different projects can run in isolation. Magnum also provides a user-friendly command-line tool for managing container clusters.

Integrations include Keystone, Nova, Neutron, Cinder, Glance, Heat, Horizon, Ironic, Trove, and Manila.