Managing Kubernetes workloads with Helm

Once a release is installed, there are several Helm commands that can manage operations on a Kubernetes cluster. Developers can use these commands to control and inspect the workloads deployed on the cluster by a Helm release.

Install the chart on the cluster

Let's start by installing the Helm chart for the sample Python application on the cluster. The chart is located in the /infrastructure/python-sample directory in the widget below.

If we inspect the values.yaml f file within the chart, we'll notice toward the top of the file, the value for the image has been set to run the kmbeducative/python-sample:1.0 container image on the cluster.

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