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Managing Releases with Helm

Managing Releases with Helm

Learn how Helm charts reduce the complexity of managing systems that run on Kubernetes.

We'll cover the following...

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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image:
  repository: kmbeducative/python-sample
  pullPolicy: IfNotPresent
  # Overrides the image tag whose default is the chart appVersion.
  tag: "1.0"

These values will be substituted in the infrastructure/python-sample/templates/deployment.yaml file when the Kubernetes resource definition is generated from the template. When the release is applied to the cluster, the first version of the sample Python application will run.

To begin installing the chart, launch the interactive widget below ...