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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.

Buildah is a tool for building OCI-compatible images through a lower-level coreutils interface. Similar to Podman, Buildah doesn't depend on a daemon such as Docker or CRI-O, and it doesn't require root privileges. Buildah provides a command-line tool that replicates all the commands found in a Dockerfile. This allows you to issue Buildah commands from a scripting language such as Bash.

As our enterprise customers build out large, multi-cluster Kubernetes environments, they are encountering an entirely new set of security challenges, requiring solutions that operate at scale and can be deployed both on-premises and across multiple clouds.

How do you know if the changes that you’re making to your microservices are having the desired impact to your end-users? What happens after a deploy? Did your app’s performance remain the same? Were any bugs introduced? Do you need to roll back? With Codefresh and Lightstep, you’re able to more quickly, more accurately, and more easily ensure that any commit and build results in a better experience for your end-users.

This article will describe the process of installing Rancher 2.4 on a highly available K3s Kubernetes cluster in Microsoft Azure. It will also take advantage of Microsoft Azure Database for MySQL, which removes the dependency on etcd and provides us all the additional features that Azure delivers with this service. You will learn how to deploy the infrastructure to support this pattern using only the Azure Cloud Shell.