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Orchestrating Windows containers on Red Hat OpenShift

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Containers are used as the primary platform for application development and ideally support the 2 leading operating systems (OS) in datacenters — Red Hat® Enterprise Linux® and Microsoft Windows. Without a standard OS, applications are often siloed, which can cause complexities in management and a lag in application modernization.

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Get the benefits of Kubernetes by running your Windows applications in a scheduled, orchestrated, and managed manner with Red Hat OpenShift. 

Red Hat OpenShift orchestrates both Red Hat Enterprise Linux and Windows to run as the building blocks of your applications. It supports .NET core applications, traditional .NET framework applications, and other Windows applications through the Windows Machine Config Operator (WMCO).

Windows Machine Config Operator enables Windows server workloads on Red Hat OpenShift 4.6+ clusters on cloud and on-premise platforms. Through the operator cluster, administrators can add Windows worker nodes as a day 2 operation and enable scheduling of Windows workloads.

All workloads, whether Linux or Windows-based, can then be managed and viewed together through the Red Hat OpenShift management console.


Windows Machine Config Operator Workflow

  • Easily lift and shift Windows applications
  • No need to re-architect or write new code
  • Increase density & lower deployment cost
  • Improve productivity and DevOps agility
  • Portability of apps and dependencies

Keep reading


What are Red Hat OpenShift Operators?

Red Hat OpenShift Operators automate the creation, configuration, and management of instances of Kubernetes-native applications.


Why choose Red Hat OpenShift Serverless?

Red Hat OpenShift Serverless extends Kubernetes in order to deploy and manage serverless workloads.


Why choose Red Hat OpenShift Service Mesh?

Red Hat OpenShift Service Mesh gives you a uniform way to connect, manage, and observe microservices-based applications.

More about OpenShift


An enterprise application platform with a unified set of tested services for bringing apps to market on your choice of infrastructure.

An AI platform that provides tools to rapidly develop, train, serve, and monitor models and AI-enabled applications.

Software-defined storage that gives data a permanent place to live as containers spin up and down and across environments.

A single console, with built-in security policies, for controlling Kubernetes clusters and applications.



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Running Containers with Red Hat Technical Overview

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Developing Cloud-Native Applications with Microservices Architectures

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Containers, Kubernetes and Red Hat OpenShift Technical Overview

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