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Today we launched the Rancher Academy, our new free training portal. The first course is Certified Rancher Operator: Level 1, and in it you’ll learn exactly how to deploy Rancher and use it to deploy and manage Kubernetes clusters. This professional certification program is designed to help Kubernetes practitioners demonstrate their knowledge and competence with Kubernetes and Rancher – and to advance in their careers.

Microsoft Build, Microsoft’s annual developer conference, is taking place virtually May 19-20. Ubuntu will be featured throughout the event, in announcements of new WSL features, demos of cloud-native development on Microsoft Azure, and by presenters using Ubuntu desktop with native Microsoft applications like Teams, Code, and Edge. In an address by Microsoft CEO Satya Nadella the company announced new features coming to WSL 2.

Hey there. Welcome to the fifth and final installment in our series on successfully deploying an app to AWS with the least effort. This week, we'll discuss things you need to worry about now that you've released, plus optimizing your app. Ok, so you've released your app. Congrats! However, we both know your work doesn't end here. You should continue improving your app, both on the end-user side and the back end.

For teams that deal with machine learning (ML), there comes a point in time where training a model on a single machine becomes untenable. This is often followed by the sudden realization that there is more to machine learning than simply model training. There are a myriad of activities that have to happen before, during and after model training. This is especially true for teams that want to productionize their ML models.