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  1. To test the Odigos Operator we wanted to have a realistic OpenShift environment, but even minimal clusters on GKE or EKS were costing us thousands of dollars a month due to OpenShift’s high requirements.

  2. If you like this post, you can learn more about operators from my book, The Kubernetes Operator Framework Book.

  3. As of today, I am officially a published author.

  4. If you are working on changes to a core Kubernetes component such as the scheduler, controller-manager, or apiserver, you may be confused about how to actually build and deploy your changes in a local environment to test them.

  5. When I recently switched to a Mac for my personal/work laptop, I ran into this problem trying to build oc: # github.com/apcera/gssapi vendor/github.com/apcera/gssapi/name.go:213:9: could not determine kind of name for C.wrap_gss_canonicalize_name cgo: cla…

  6. "git trash"

    I often end up doing test bumps of dependencies that leave my repo with a ton of trash changes that I just want to be able to undo easily and reset my repo including any new or deleted files and directories, so I added this to my .gitconfig : [alias] tra…

  7. *(**Note: *This post originally appeared on the Red Hat OpenShift Blog) OpenShift Online recently made a new feature available to Pro accounts: Collaboration.

  8. My First Simple Chrome Extension

    Homebrewing is one of my favorite hobbies, so I’m a big fan of Brewer’s Friend for looking up recipes (as well as using their various calculators for OG/FG, IBUs, and others).

  9. Part 1: Introduction to the OpenShift client Part 2: Coding for Kubernetes In the previous post, I went more in-depth into how Kubernetes works in the command line.

  10. Part 1: Introduction to the OpenShift clientPart 3: Writing a controller In my last post, I went over how to set up an OpenShift environment for developing.

  11. Part 2: Coding for KubernetesPart 3: Writing a controller For OpenShift Online, we run several controllers in our cluster which serve functions such as provisioning persistent volumes and providing user analytics.

  12. Note: This post also appears on the Red Hat OpenShift Blog, along with many other cool posts by cool people.