This example demonstrates building and deploying an app to Control Plane using the CLI (cpln) as part of a GitHub Action.
The example application is a Node.js app that displays the environment variables and start-up arguments.
This example is provided as a starting point and your own unique delivery and/or deployment requirements will dictate the steps needed in your situation.
The Control Plane CLI require a Service Account
with the proper permissions to perform actions against the Control Plane API.
- Follow the Control Plane documentation to create a Service Account and create a key. Take note of the key (download and/or copy to clipboard). It will be used in the next section.
- Add the Service Account to the
superusers
group. Once the GitHub Action executes as expected, a policy can be created with a limited set of permissions and the Service Account can be removed from thesuperusers
group.
When triggered, the GitHub action will execute the steps defined in the workflow file located at .github/workflow/deploy-to-control-plane.yml
. The example will containerize and push the application to the org's private image repository and create/update a GVC and workload hosted at Control Plane.
Perform the following steps to set up the example:
-
Fork the example into your own workspace.
-
The following variables are required and must be added as GitHub repository secrets.
Browse to the Secrets page by clicking `Settings` (top menu bar), then `Secrets` (left menu bar).
Add the following variables:
CPLN_ORG
: Control Plane org.CPLN_GVC_NAME
: The name of the GVC.CPLN_WORKLOAD_NAME
: The name of the workload.CPLN_TOKEN
: Service Account Key.CPLN_IMAGE_NAME
: The name of the image that will be deployed. The workflow will append the short SHA of the commit as the image tag when pushing the image to the org's private image repository.
-
Review the
.github/workflow/deploy-to-control-plane.yml
file:- The workflow can be updated to be triggered on specific branches and actions (pushes, pull requests, etc.). The example is set to trigger on a push or pull request to the
main
branch on lines 9-12 (currently commented out). - The
sed
command is used to substitute theORG_NAME
,GVC_NAME
,WORKLOAD_NAME
andIMAGE_NAME_TAG
tokens inside the YAML files in the/.cpln
directory on lines 56-59.
- The workflow can be updated to be triggered on specific branches and actions (pushes, pull requests, etc.). The example is set to trigger on a push or pull request to the
-
The Control Plane YAML files are located in the
/.cpln
directory. No changes are required to execute the example.- The
cpln-gvc.yaml
file defines the GVC to be created/updated. - The
cpln-workload.yaml
file defines the workload to be created/updated.
- The
To manually trigger the GitHub action:
- From within the repository, click
Actions
(top menu). - Click the
Deploy-To-Control-Plane
link underWorkflows
. - Click the
Run workflow
pulldown button. - Select the branch to use.
- Click
Run workflow
.
After the GitHub Action has successfully deployed the application, it can be tested by following these steps:
- Browse to the Control Plane Console.
- Select the GVC that was set in the
CPLN_GVC_NAME
secret. - Select the workload that was set in the
CPLN_WORKLOAD_NAME
secret. - Click the
Open
button. The app will open in a new tab. The container's environment variables and start up arguments will be displayed.
-
The
cpln apply
command creates and updates the resources defined within the YAML file. If the name of a resource is changed,cpln apply
will create a new resource. Any orphaned resources will need to be manually deleted. -
The Control Plane CLI commands use the
CPLN_ORG
andCPLN_TOKEN
environment variables when needed. There is no need to add the --org or --token flags when executing CLI commands. -
The GVC definition must exists in its own YAML file. The
cpln apply
command executing the file that contains the GVC definition must be executed before any child definition YAML files (workloads, identities, etc.) are executed.
GitHub