Deploying with Helm3
Helm is a Kubernetes package management tool, which is similar to the package manager in Linux, such as yum and APT. Helm can easily deploy packaged YAML files on Kubernetes. Helm 3 is the commonly used and stable version of Helm.
Parameter |
Description |
---|---|
Action Name |
Name of an added deployment action. Max 128 characters. Do not start or end with a space. Use letters, digits, spaces, and these special characters: -_,;:./(). |
Cluster Type |
The default value is Custom. |
Kubernetes Service Endpoint |
You can select a CCE cluster or your own Kubernetes cluster.
|
Helm Command |
install, upgrade, and uninstall are available. If you select upgrade for Helm Command and the chart name does not exist, the system automatically run install. |
Namespace |
Enter a namespace. |
Chart Name |
The custom chart name. You can perform the upgrade operation on the same chart name. |
Chart Package Source |
Select the source of the chart package to be installed. Artifact and Repo are available. If you select Repo, you need to specify the code repository and branch. |
Chart Package |
Enter a directory or GZIP package with a chart file structure. |
Values File |
Select the values file from Artifact. For example, if you specify Myvalues.yaml, -f Myvalues.yaml will be added to Helm command parameters. |
Values |
Set values in the CLI. If you specify key1=val1,key2=val2 (separate values with commas), -set key1=val1,key2=val2 will be added to Helm command parameters. |
Helm Command Parameters |
Add other content to Helm command parameters. For details, see Helm Install, Helm Upgrade, and Helm Uninstall. |
Control Options |
Continue the task even if this action fails. |
Environment Preparation for Helm3 Deployment Example
This section uses the chart directory as an example to describe how to prepare the environment for the following three examples. Use the following template to deploy a CCE cluster and create the following directories in the code repository of CodeArts Repo.
Segment in configmap.yaml
metadata: name: {{ .Values.configmapname }}
Segment in deployment.yaml
spec: template: spec: containers: - image: '{{ .Values.imagename }}:{{ .Values.imagetag }}'
Segment in values.yaml
configmapname: valuesfromfile imagename: httpd imagetag: latest
{{.Values.xxxx}} corresponds to the variable defined in the values.yaml file in the chart.
The following three examples are based on this section.
For details, see Values Files.
- Example 1: Using the Chart Package or Chart File Structure Directory for Deployment
If the default values file exists in the chart, you do not need to specify the values file in Artifact. You can directly deploy the default values file.
The deployment result is as follows:
The corresponding ConfigMap generated on the CCE console is as follows:
The corresponding Deployment generated on the CCE console is as follows:
- Example 2: Deploying Helm3 by Specifying the Values File in CodeArts Artifact
This example demonstrates how to deploy Helm3 by specifying the Values file in Artifact.
The values defined in the external values file will overwrite the values defined in the Values file in the chart.
Segment of an external Values file. In this example, the file is named values123.yaml.
configmapname: valuesfile-releasenman imagename: nginx imagetag: stable
As shown in the following figure, for Values File, select the Values file in Artifact.
The deployment result is as follows:
The corresponding ConfigMap generated on the CCE console is as follows:
The corresponding Deployment generated on the CCE console is as follows:
- Example 3: Deploying Helm3 by Configuring Values
If Values is set, it has the highest priority and overwrites the values set in the values file of Chart and the values set in the external values file.
The following figure describes how to configure the image version:
Segment of the Values File in Chart Package:
imagetag: latest
Segment of Values File in Artifact:
imagetag: stable
When setting Values, enter the following information:
imagetag=perl
The deployment result is as follows:
The corresponding Deployment generated on the CCE console is as follows:
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