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Chapter 2. Using Argo Rollouts for progressive deployment delivery


To use Argo Rollouts and manage progressive delivery, after you install the {gitops-titel} Operator on the cluster, you can create and configure a RolloutManager custom resource (CR) instance in the namespace of your choice. You can scope the RolloutManager CR for single or multiple namespaces.

2.1. Prerequisites

  • You have access to the cluster with cluster-admin privileges.
  • You have access to the OpenShift Container Platform web console.
  • Red Hat OpenShift GitOps 1.9.0 or a newer version is installed on your cluster.

2.2. Creating a RolloutManager custom resource

To manage progressive delivery of deployments by using Argo Rollouts in Red Hat OpenShift GitOps, you must create and configure a RolloutManager custom resource (CR) in the namespace of your choice. By default, any new argo-rollouts instance has permission to manage resources only in the namespace where it is deployed, but you can use Argo Rollouts in multiple namespaces as required.

Prerequisites

  • Red Hat OpenShift GitOps 1.9.0 or a newer version is installed on your cluster.

Procedure

  1. Log in to the OpenShift Container Platform web console as a cluster administrator.
  2. In the Administrator perspective, click Operators Installed Operators.
  3. Create or select the project where you want to create and configure a RolloutManager custom resource (CR) from the Project drop-down menu.
  4. Select Red Hat OpenShift GitOps from the installed operators.
  5. In the Details tab, under the Provided APIs section, click Create instance in the RolloutManager pane.
  6. On the Create RolloutManager page, select the YAML view and use the default YAML or edit it according to your requirements:

    Example: RolloutManager CR

    apiVersion: argoproj.io/v1alpha1
    kind: RolloutManager
    metadata:
      name: argo-rollout
      namespace: openshift-gitops
    spec: {}

  7. Click Create.
  8. In the RolloutManager tab, under the RolloutManagers section, verify that the Status field of the RolloutManager instance shows as Phase: Available.
  9. In the left navigation pane, verify the creation of the namespace-scoped supporting resources:

    • Click Workloads Deployments to verify that the argo-rollouts deployment is available with the Status showing as 1 of 1 pods running.
    • Click Workloads Secrets to verify that the argo-rollouts-notification-secret secret is available.
    • Click Networking Services to verify that the argo-rollouts-metrics service is available.
    • Click User Management Roles to verify that the argo-rollouts role and argo-rollouts-aggregate-to-admin, argo-rollouts-aggregate-to-edit, and argo-rollouts-aggregate-to-view cluster roles are available.
    • Click User Management RoleBindings to verify that the argo-rollouts role binding is available.

2.3. Deleting a RolloutManager custom resource

Uninstalling the Red Hat OpenShift GitOps Operator does not remove the resources that were created during installation. You must manually delete the RolloutManager custom resource (CR) before you uninstall the Red Hat OpenShift GitOps Operator.

Prerequisites

  • Red Hat OpenShift GitOps 1.9.0 or a newer version is installed on your cluster.
  • A RolloutManager CR exists in your namespace.

Procedure

  1. Log in to the OpenShift Container Platform web console as a cluster administrator.
  2. In the Administrator perspective, click Operators Installed Operators.
  3. Click the Project drop-down menu and select the project that contains the RolloutManager CR.
  4. Select Red Hat OpenShift GitOps from the installed operators.
  5. Click the RolloutManager tab to find RolloutManager instances under the RolloutManagers section.
  6. Click the instance.
  7. Click Actions Delete RolloutManager from the drop-down menu, and click Delete to confirm in the dialog box.
  8. In the RolloutManager tab, under the RolloutManagers section, verify that the RolloutManager instance is not available anymore.
  9. In the left navigation pane, verify the deletion of the namespace-scoped supporting resources:

    • Click Workloads Deployments to verify that the argo-rollouts deployment is deleted.
    • Click Workloads Secrets to verify that the argo-rollouts-notification-secret secret is deleted.
    • Click Networking Services to verify that the argo-rollouts-metrics service is deleted.
    • Click User Management Roles to verify that the argo-rollouts role and argo-rollouts-aggregate-to-admin, argo-rollouts-aggregate-to-edit, and argo-rollouts-aggregate-to-view cluster roles are deleted.
    • Click User Management RoleBindings to verify that the argo-rollouts role binding is deleted.

2.4. Installing Argo Rollouts CLI on Linux

You can install the Argo Rollouts CLI on Linux.

Prerequisites

  • You have installed the OpenShift Container Platform CLI (oc).

Procedure

  1. Download the latest version of the Argo Rollouts CLI binary, kubectl-argo-rollouts, by running the following command:

    $ curl -LO https://github.com/argoproj/argo-rollouts/releases/latest/download/kubectl-argo-rollouts-linux-amd64
  2. Ensure that the kubectl-argo-rollouts binary is executable by running the following command:

    $ chmod +x ./kubectl-argo-rollouts-linux-amd64
  3. Move the kubectl-argo-rollouts binary to the system path by running the following command:

    # mv ./kubectl-argo-rollouts-linux-amd64 /usr/local/bin/kubectl-argo-rollouts
    Important

    Ensure that you have superuser privileges to run this command.

  4. Verify that the plugin is installed correctly by running the following command and receiving the similar output:

    $ oc argo rollouts version

    Example output

    kubectl-argo-rollouts: v1.6.6+737ca89
      BuildDate: 2024-02-13T15:39:31Z 1
      GitCommit: 737ca89b42e4791e96e05b438c2b8540737a2a1a
      GitTreeState: clean
      GoVersion: go1.20.14 2
      Compiler: gc
      Platform: linux/amd64 3

    1
    The build date information of the Argo Rollouts binary.
    2
    The version of the Go language used for building the Argo Rollouts binary.
    3
    The platform used for building the Argo Rollouts binary.

2.5. Installing Argo Rollouts CLI on Mac OS

If you are a macOS user, you can install the Argo Rollouts CLI by using the Homebrew package manager.

Prerequisites

  • You have installed the Homebrew (brew) package manager.

Procedure

  • Run the following command to install the Argo Rollouts CLI:

    $ brew install argoproj/tap/kubectl-argo-rollouts

2.6. Enabling Argo Rollouts UI on an Argo CD instance

To enable Argo Rollouts UI on an Argo CD instance, complete the following steps.

Prerequisites

  • You have access to the cluster with cluster-admin privileges.
  • You have installed the Red Hat OpenShift GitOps Operator on your OpenShift Container Platform cluster.
  • You have configured the RolloutManager custom resource (CR).

Procedure

  1. Log in to the OpenShift Container Platform web console.
  2. In the Administrator perspective of the web console, click Operators Installed Operators.
  3. Select Red Hat OpenShift GitOps from the installed Operators list and click the Argo CD tab.
  4. Select the Argo CD instance in the Argo CD tab under the openshift-gitops namespace.
  5. Click YAML and add the following configuration to configure the Argo Rollouts UI:

    Example enabling Argo Rollouts UI in the Argo CD CR

    apiVersion: argoproj.io/v1beta1
    kind: ArgoCD
    metadata:
      name: argocd
    spec:
      server:
        enableRolloutsUI: true 1

    1
    Set this value to true to configure the enableRolloutsUI field.
  6. Click Save.
  7. In the Administrator perspective of the web console, navigate to the red hat applications menu icon menu OpenShift GitOps Cluster Argo CD. The login page of the Argo CD Web UI is displayed in a new window.
  8. To access the Argo Rollouts UI in the Argo CD Web UI, configure a sample application that includes the Argo Rollouts resources.

    Note

    The enableRolloutsUI field restarts the Argo CD server deployment pod, so it takes a few seconds for the Argo Rollouts extension to enable in the Argo CD Web UI.

2.7. Additional resources

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