As a consistent user and developer on the OpenShift platform over the years, I've tried helping users by sharing my application development content as we've journeyed from cartridges all the way to container base development.
With container based development we've also transitioned from using templates to define how to deploy our tooling and applications, to operators. There are many examples of how to work with the templated versions of our applications around decision management and process automation found on Red Hat Demo Central and JBoss Demo Central.
Code Ready Containers – Installing an HR employee rewards project using developer container catalog
If you've been following along here lately, you've noticed that I'm exploring Code Ready Containers quite a bit. I've been looking at how to run an OpenShift Container Platform, self-contained on my local machine with no more than 16GB of RAM.
It's not about just starting up the container platform, it's about doing something real with it. By real I am talking about running a demo, project, or some coding solution I enjoy tinkering with for my day job.
How to Run Red Hat OpenShift 4 on your Notebook
OpenShift is Red Hat's version of Kubernetes, simply put. It includes tools and features that make it very interesting for developers. But since it is a commercial product it normally comes with a fee.
You may know Minikube, a tool to run "vanilla" Kubernetes in a virtual machine on your notebook. You may also know Minishift, which does the same for OKD which is the open source upstream project of OpenShift. Minishift is based on OKD version 3.xx, though. OpenShift version 4 is very different from OpenShift and OKD version 3. There is work underway for a version 4 of OKD but this still seems to take some time.
Code Ready Containers: Installing Process Automation
For some time now we've been working on updating your experience using Code Ready Containers, a container platform installation for your local machine, by providing interesting developer tooling and project examples.
There is no better way to learn about container technologies, container platforms, and container-based application development than getting hands-on with great open technologies.