Today’s announcement of Red Hat OpenShift 4.2 represents a major release for developers working with OpenShift and Kubernetes. There is a new application development-focused user interface, new tools, and plugins for container builds, CI/CD pipelines, and serverless architecture.
Application topology view in developer perspective.
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If you’re familiar with OpenShift Do (odo), a developer-focused command-line tool for Red Hat OpenShift, then you know that one of its primary goals is to make it easier to do fast, iterative development. Even experienced odo users, however, may not be familiar with odo’s interactive mode, which simplifies the process of creating components and services even further.
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One of the things I enjoy most about using Red Hat OpenShift is the Developer Catalog. The Developer Catalog is a central location where a team working with Red Hat OpenShift can encapsulate and share how application components and services are deployed.
The Developer Catalog is often used to define an infrastructure pattern referred to as a builder image. A builder image is a container image that supports a particular language or framework, following best practices and Source-to-Image (s2i) specifications.
The OpenShift Developer Catalog provides several standard builder images supporting applications written in Node.js, Ruby, Python, and more. And while the Developer Catalog has many easy ways to get started deploying several supported languages, the catalog is also flexible in allowing you to add your own builder images to support an infrastructure pattern that is not preloaded in the catalog.
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Following the first announcement of odo earlier in the year, we are pleased to announce the beta release of odo, an official project hosted on the OpenShift GitHub repository. After months of hard work, the beta release indicates that the API is stable and that functionality going forward will not change.
OpenShift Do (odo, for short) is a fast and straightforward CLI for developers who write, build, and iterate constantly on their source code. Instead of using more-refined tools such as
odo focuses on the iterative inner-loop cycle of coding (iterating on code changes prior to committing to Git) rather than the management of each application deployed to OpenShift. This article provides an overview of odo’s functionality.
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Have you ever developed applications on a platform like Red Hat OpenShift?
I’m a Java developer with more than 15 years of coding experience, and although I’ve been working with OpenShift for more than three years now, I haven’t found it especially easy to use as a day-to-day development platform. Why? There are many reasons, but the key ones involve complexity and speed. In this article, I’ll explain further and provide an introduction to the odo command-line tool.
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