CodeReady Workspaces

Performance and usability enhancements in Red Hat CodeReady Workspaces 2.2

Performance and usability enhancements in Red Hat CodeReady Workspaces 2.2

Red Hat CodeReady Workspaces 2.2 is now available. For the improvements in this release, we focused on performance and configuration, plus updating CodeReady Workspaces 2.2 to use newer versions of the most popular runtimes and stacks. We also added the ability to allocate only the CPU that you need for IDE plugins, and we introduced a new diagnostic feature that lets you start up a workspace in debug mode.

CodeReady Workspaces 2.2 is available on OpenShift 3.11 and OpenShift 4.3 and higher, including tech-preview support for OpenShift 4.5.

Note: Based on Eclipse Che, CodeReady Workspaces is a Red Hat OpenShift-native developer environment that supports cloud-native development.

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Automate workshop setup with Ansible playbooks and CodeReady Workspaces

Automate workshop setup with Ansible playbooks and CodeReady Workspaces

At Red Hat, we do many in-person and virtual workshops for customers, partners, and other open source developers. In most cases, the workshops are of the “bring your own device” variety, so we face a range of hardware and software setups and corporate endpoint-protection schemes, as well as different levels of system knowledge.

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Red Hat CodeReady Workspaces 2.1: Improved cloud tools bring more languages, better flow

Red Hat CodeReady Workspaces 2.1: Improved cloud tools bring more languages, better flow

We are pleased to announce the release of Red Hat CodeReady Workspaces 2.1. Based on Eclipse Che, its upstream project, CodeReady Workspaces is a Red Hat OpenShift-native developer environment enabling developer teams for cloud-native development.

CodeReady Workspaces 2.1 is available now on OpenShift 3.11 and OpenShift 4.3+.

This new version introduces:

  • Dashboard: A new onboarding flow.
  • Quarkus: A new workspace gets you started with Quarkus.
  • Languages: The addition of .NET Core 3.1, Java 11, and Camel DSL (Apache Camel K).
  • Other: Editor and AirGap improvements.

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Editing, debugging, and GitHub in Red Hat CodeReady Workspaces 2

Editing, debugging, and GitHub in Red Hat CodeReady Workspaces 2

In a previous article, I showed how to get Red Hat CodeReady Workspaces 2.0 (CRW) up and running with a workspace available for use. This time, we will go through the edit-debug-push (to GitHub) cycle. This walk-through will simulate a real-life development effort.

To start, you’ll need to fork a GitHub repository. The Quote Of The Day repo contains a microservice written in Go that we’ll use for this article. Don’t worry if you’ve never worked with Go. This is a simple program and we’ll only change one line of code.

After you fork the repo, make note of (or copy) your fork’s URL. We’ll be using that information in a moment.

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Red Hat OpenShift 4 on your laptop: Introducing Red Hat CodeReady Containers

Red Hat OpenShift 4 on your laptop: Introducing Red Hat CodeReady Containers

We are pleased to announce that Red Hat CodeReady Containers is now available as a Developer Preview. CodeReady Containers brings a minimal, preconfigured OpenShift 4.1 or newer cluster to your local laptop or desktop computer for development and testing purposes. CodeReady Containers supports native hypervisors for Linux, macOS, and Windows 10. You can download CodeReady Containers from the Red Hat CodeReady Containers product page.

CodeReady Containers is designed for local development and testing on an OpenShift 4 cluster. For running an OpenShift 3 cluster locally, see Red Hat Container Development Kit (CDK) or Minishift.

In this article, we’ll look at the features and benefits of CodeReady Containers, show a demo of how easy it is to create a local Red Hat OpenShift 4 cluster, and show how to deploy an application on top of it.

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How to set up Red Hat CodeReady Studio 12: Process automation tooling

How to set up Red Hat CodeReady Studio 12: Process automation tooling

The release of the latest Red Hat developer suite version 12 included a name change from Red Hat JBoss Developer Studio to Red Hat CodeReady Studio. The focus here is not on the Red Hat CodeReady Workspaces, a cloud and container development experience, but on the locally installed developers studio. Given that, you might have questions about how to get started with the various Red Hat integration, data, and process automation product toolsets that are not installed out of the box.

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Announcing Red Hat CodeReady Workspaces 1.2

Announcing Red Hat CodeReady Workspaces 1.2

We are pleased to introduce Red Hat CodeReady Workspaces version 1.2, which provides a cloud developer workspace server and browser-based IDE built for teams and organizations. CodeReady Workspaces includes ready-to-use developer stacks for most of the popular programming languages, frameworks, and Red Hat technologies.

Release overview

Red Hat CodeReady Workspaces 1.2 introduces:

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How to set up Red Hat CodeReady Studio 12: Integration tooling

How to set up Red Hat CodeReady Studio 12: Integration tooling

The release of the latest Red Hat developer suite version 12 brings with it a name change from Red Hat JBoss Developer Studio to Red Hat CodeReady Studio. The focus here is not on the Red Hat CodeReady Workspaces, a cloud and container development experience, but on the locally installed developers studio.

The new release also brings with it the questions about how to get started with the various Red Hat integration, data, and process automation product toolsets that are not installed out of the box. This series of articles showcases how to install each set of tools and explains the products they are supporting. The hope is that an easy getting started experience will help you make informed decisions about the tooling that you might want to use on your next development project.

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How to edit and test application code in CodeReady Workspaces

How to edit and test application code in CodeReady Workspaces

In this CodeReady Workspaces video, learn how to create a new workspace using the code generated from the launcher, and how to make the application run locally. Also find out how to build and deploy an application locally within the workspace, how to edit and test the code, and how to commit code changes to a remote git repository. The steps described in this video are also available in the tutorial on GitHub.

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