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Deploying a Spring Boot application with Argo CD

With Argo CD, you can deploy your applications to the OpenShift cluster either by using the Argo CD dashboard or by using the oc tool.

Prerequisites

  • Red Hat OpenShift GitOps is installed in your cluster.

  • Logged into Argo CD instance.

Creating an application by using the Argo CD dashboard

Argo CD provides a dashboard which allows you to create applications.

Procedure

  1. In the Argo CD dashboard, click NEW APP to add a new Argo CD application.

  2. For this workflow, create a spring-petclinic application with the following configurations:

    Application Name

    spring-petclinic

    Project

    default

    Sync Policy

    Automatic

    Repository URL

    https://github.com/redhat-developer/openshift-gitops-getting-started

    Revision

    HEAD

    Path

    app

    Destination

    https://kubernetes.default.svc

    Namespace

    spring-petclinic

  3. Click CREATE to create your application.

  4. Open the Administrator perspective of the web console and navigate to Administration → Namespaces in the menu on the left.

  5. Search for and select the namespace, then enter argocd.argoproj.io/managed-by=openshift-gitops in the Label field so that the Argo CD instance in the openshift-gitops namespace can manage your namespace.

Creating an application by using the oc tool

You can create Argo CD applications in your terminal by using the oc tool.

Procedure

  1. Download the sample application:

    $ git clone git@github.com:redhat-developer/openshift-gitops-getting-started.git

  2. Create the application:

    $ oc create -f openshift-gitops-getting-started/argo/app.yaml

  3. Run the oc get command to review the created application:

    $ oc get application -n openshift-gitops

  4. Add a label to the namespace your application is deployed in so that the Argo CD instance in the openshift-gitops namespace can manage it:

    $ oc label namespace spring-petclinic argocd.argoproj.io/managed-by=openshift-gitops

Verifying Argo CD self-healing behavior

Argo CD constantly monitors the state of deployed applications, detects differences between the specified manifests in Git and live changes in the cluster, and then automatically corrects them. This behavior is referred to as self-healing.

You can test and observe the self-healing behavior in Argo CD.

Prerequisites

  • The sample app-spring-petclinic application is deployed and configured.

Procedure

  1. In the Argo CD dashboard, verify that your application has the Synced status.

  2. Click the app-spring-petclinic tile in the Argo CD dashboard to view the application resources that are deployed to the cluster.

  3. In the OpenShift Container Platform web console, navigate to the Developer perspective.

  4. Modify the Spring PetClinic deployment and commit the changes to the app/ directory of the Git repository. Argo CD will automatically deploy the changes to the cluster.

    1. Fork the OpenShift GitOps getting started repository.

    2. In the deployment.yaml file, change the failureThreshold value to 5.

    3. In the deployment cluster, run the following command to verify the changed value of the failureThreshold field:

      $ oc edit deployment spring-petclinic -n spring-petclinic

  5. Test the self-healing behavior by modifying the deployment on the cluster and scaling it up to two pods while watching the application in the OpenShift Container Platform web console.

    1. Run the following command to modify the deployment:

      $ oc scale deployment spring-petclinic --replicas 2  -n spring-petclinic

    2. In the OpenShift Container Platform web console, notice that the deployment scales up to two pods and immediately scales down again to one pod. Argo CD detected a difference from the Git repository and auto-healed the application on the OpenShift Container Platform cluster.

  6. In the Argo CD dashboard, click the app-spring-petclinic tile → APP DETAILS → EVENTS. The EVENTS tab displays the following events: Argo CD detecting out of sync deployment resources on the cluster and then resyncing the Git repository to correct it.