GitOps

In this step, you will need to deploy the container images of the five key components of the train in OpenShift:

  • capture-app
  • intelligent-train
  • monitoring-app
  • train-ceq-app
  • train-controller

To help you, a Helm chart is available in the application’s mono repo (deployment folder). The Helm chart is designed to deploy the images built in the previous step. However, to save you a 20-minute wait, these images have been made available on quay.io.

Deployment

You’ll deploy the components from your OpenShift DevSpaces environment (this will be easier).

To do this, open a terminal in VScode.

  • Open the hamburger menu (three horizontal lines at the top left) from your DevSpaces workspace.
  • Click on Terminal > New Terminal.

From the terminal, discover the projects to which you have access.

oc get projects

You should see three OpenShift projects:

  • Your DevSpaces workspace ($USERID-devspaces-$RANDOM)
  • The test project ($USERID-test)
  • The OpenShift AI project ($USERID)

Get the name of the test project from an environment variable.

TEST_NS=$(oc get projects -o name -l env=test | cut -d / -f 2 | head -n 1)
echo "Using namespace $TEST_NS"

Create the objects in your OpenShift test project.

helm template deployment /projects/rivieradev-app/deployment --set namespace="$TEST_NS" | oc apply -f -

The warning message “WARNING: Kubernetes configuration file is group-readable. This is insecure. “ can be ignored.

Follow the Pods' progress with the following command.

oc -n "$TEST_NS" get pods -w

You can also use the OpenShift console. In this case, navigate to Administrator > Workload > Pods and select your project from the drop-down list.

Testing

Open the OpenShift console and navigate to Administrator > Networking > Routes.

Right-click on the URL of the monitoring-app route and open the URL in a new window. Place this window in the corner of your screen.

Open the OpenShift console and navigate to Administrator > Workload > Pods.

Click on the Pod of the capture-app component. Open the Terminal tab.

Enter the following command in the terminal:

curl -X POST 'http://localhost:8080/capture/test' -H 'accept: */*'

If all goes well, you should see the video start up in the monitoring-app component window.