Monitoring Red Hat Ansible Automation Platform on Red Hat OpenShift - The Easy Way

August 29, 2022 by Roger Lopez

monitoring ansible on ocp blog

As Red Hat Ansible Automation Platform enables teams and organizations to drive their automation from across the cloud and on-premise, keeping Ansible Automation Platform healthy with the ability to monitor key metrics becomes paramount.

This blog post demonstrates how to monitor the API metrics provided by an Ansible Automation Platform environment when deployed within Red Hat OpenShift.


What will we use to monitor the API metrics?

Prometheus and Grafana. 

Prometheus is an open source monitoring solution for collecting and aggregating metrics. Partner Prometheus’ monitoring capabilities with Grafana, an open source solution for running data analytics and pulling up metrics in customizable dashboards, and you get a real-time visualization of metrics to track the status and health of your Ansible Automation Platform.


What can we expect?

Expect to be fast-tracked to a deployment of Ansible Automation Platform that is monitored by Prometheus paired with a Grafana Ansible Automation Platform dashboard showing those metrics in real time.

This blog will guide you through:

  • The deployment of Prometheus using an operator.
  • Configuring your Prometheus deployment to capture Ansible Automation Platform metrics.
  • The deployment of Grafana using an operator.
  • Configuring Grafana with a pre-built dashboard that displays the Ansible Automation Platform metrics.


What metrics can I expect to see in the pre-built dashboard?

The Grafana pre-built dashboard displays:

  • Ansible Automation Platform version
  • Number of controller nodes
  • Number of hosts available in the license
  • Number of hosts used
  • Total users
  • Jobs successful
  • Jobs failed
  • Quantity by type of job execution
  • Graphics showing the number of jobs running and pending jobs
  • Graph showing the growth of the tool showing the amount of workflow, hosts, inventories, jobs, projects, organizations, etc.

Of course, this Grafana dashboard can be customized to capture other metrics you may be interested in.

Let’s dive in.


Automating with an Ansible Playbook

Why type all of these CLI commands when you can automate it with an Ansible playbook? That is the beauty of Ansible. Everything that has been written in this blog has already been automated for you. Using the following Git repository and setting the values of a few optional variables will enable Prometheus to monitor Ansible Automation Platform with a customized Grafana dashboard in a matter of minutes.



The steps performed in this blog require access to an OpenShift cluster that has deployed the Red Hat Ansible Automation Platform Operator and you can access your automation controller dashboard.


Create a custom credential type

Within your Ansible Automation Platform dashboard,

      1. Under Administration Credential Types click the blue Add button.
      2. Provide a Name, e.g. Kubeconfig.
      3. Within the input configuration, input the following YAML:
  - id: kube_config
    type: string
    label: kubeconfig
    secret: true
    multiline: true

                       4. Within the injector configuration, input the following YAML:

  K8S_AUTH_KUBECONFIG: '{{ tower.filename.kubeconfig }}'
  template.kubeconfig: '{{ kube_config }}'

                      5. Click Save.


Create a kubeconfig credential

Within your Ansible Automation Platform dashboard,

  1. Under Resources Credentials click the blue Add button.
  2. Provide a Name, e.g. OpenShift-Kubeconfig.
  3. Within the Credential Type dropdown, select Kubeconfig.
  4. Within the Type Details text box, insert your kubeconfig file for your OpenShift cluster.
  5. Click Save.


Create a project

Within your Ansible Automation Platform dashboard,

  1. Under ResourcesProjects click the blue Add button.
  2. Provide a Name, e.g. Monitoring AAP Project.
  3. Select Default as the Organization.
  4. Select Default execution environment as the Execution Environment.
  5. Select Git as the Source Control Credential Type.
  6. Within Type Details,
    1. Add the Source Control URL (
  7. Within Options,
    1. Select Clean, Delete, Update Revision on Launch.
  8. Click Save.


Create a job template & run the Ansible Playbook

Within your Ansible Automation Platform dashboard,

  1. Under ResourcesTemplates click the blue AddAdd job template.
  2. Provide a Name, e.g. Monitor AAP Job.
  3. Select Run as the Job Type.
  4. Select Demo Inventory as the Inventory.
  5. Select Monitoring AAP Project as the Project.
  6. Select Default execution environment as the Execution Environment.
  7. Select aap-prometheus-grafana/playbook.yml as the Playbook.
  8. Select Credentials and switch the category from Machine to Kubeconfig.
  9. Select the appropriate kubeconfig for access to the Kubernetes cluster e.g. OpenShift-Kubeconfig.
  10. Optional Step: Within the Variables, the following variables may be modified:
    1. prometheus_namespace: <your-specified-value>
    2. ansible_namespace: <your-specified-value>
  11. Click Save.
  12. Click Launch to run the Ansible Playbook.

For completeness and understanding of the entire process, the manual steps are captured in the following sections.



The steps performed in this blog require access to an OpenShift cluster that has deployed the Ansible Automation Platform Operator and you can access your automation controller dashboard.


Create Bearer Token to capture metrics

In order to capture the /api/v2/metrics from an Ansible Automation Platform install, you need credentials to access them. An OAuth2 token allows us to authenticate Prometheus with Ansible Automation Platform.

  1. Login to your Ansible Automation Platform dashboard.
  2. Under Access, select Users and click on the appropriate user, e.g. admin.
  3. Within the Details window, select Tokens.

  1. Click the blue Add button.
  2. Leaving everything else empty, under Scope, select Read from the dropdown and click Save.
  3. Write down the token; you will need it in a future step and it will no longer be displayable after you see the Token information pop-up.


Installing & configuring Prometheus

1. Via a terminal, login to your OpenShift environment.

oc login

2. Create a new namespace for our Prometheus Operator deployment.

oc new-project prometheus-operator

3. Via the OpenShift Container Platform web console, Click on Operators →  OperatorHub. Search for prometheus and install the operator within the newly    created namespace, prometheus-operator

4. Create a generic secret labeled bearertoken with the bearer token that will reside within the prometheus-operator namespace.

oc create secret generic bearertoken --from-literal=secret=2lnh5HIWeLx5aBbxngaCz3rr3c0Aob -n prometheus-operator

NOTE: Replace the literal-secret value with your Ansible Automation Platform bearer token.

5. Create a label for the automation controller service that will be used for monitoring the API metrics. The name of the service will vary based upon what you named your automation controller during installation. For this blog post, the service is called my-automation-controller-service.

oc label svc my-automation-controller-service -n ansible-automation-platform monitor=metrics

NOTE: You can find your service name via:

oc get svc -n ansible-automation-platform 

NOTE: Feel free to change the label to something more specific based on your needs than monitor=metrics.

6. Create a service-monitor.yaml file that defines a ServiceMonitor. The ServiceMonitor defines a service endpoint that needs to be monitored by the Prometheus instance.

<Snippet of service-monitor.yaml>
      monitor: metrics
    - interval: 5s
      path: /api/v2/metrics
      scheme: http
        name: bearertoken
        key: secret 

NOTE: Notice how the endpoint contains the appropriate path, scheme and the bearer token to allow Prometheus access to capture the metrics from Ansible Automation Platform. Also, the selector uses the match label monitor: metrics which is the label we previously created that we wanted to track against.

7. Apply the service-monitor.yaml file:

oc apply -f service-monitor.yaml 

8. Create a service-account.yaml file, which creates a service account with cluster role and cluster role bindings to ensure you have permissions to list nodes and pods in other namespaces at the cluster scope.

9. Apply the service-account.yaml file:

oc apply -f service-account.yaml 

10. Install Prometheus using the prometheus.yaml file, where metadata.namespace is the prometheus-operator and spec.serviceAccountName is the service account’s name you applied (Prometheus).

11. Apply the prometheus.yaml file:

oc apply -f prometheus.yaml

12. Verify the Prometheus service started successfully.

oc get svc -n prometheus-operator
NAME                  TYPE        CLUSTER-IP   EXTERNAL-IP   PORT(S)          AGE
prometheus            NodePort   <none>        9090:31093/TCP   2m7s
prometheus-operated   ClusterIP   None         <none>        9090/TCP         34s

13. Check all the Pods are running.

oc get pods -n  prometheus-operator
NAME                                  READY   STATUS    RESTARTS   AGE
prometheus-operator-6dd6645fc-q9cbj   1/1     Running   0          24m
prometheus-prometheus-0               2/2     Running   0          63s
prometheus-prometheus-1               2/2     Running   0          62s

14. Expose the prometheus-operated service to use Prometheus console externally on your web browser.

oc expose svc/prometheus-operated -n prometheus-operator

15. Get the route to access via browser.

oc get routes -n prometheus-operator

16. Visit the URL from the provided route command and check the Target page of Prometheus (Status →Target). The /api/v2/metrics target should be UP.


Installing & configuring Grafana

  1. Via the OpenShift Container Platform web console, Click on Operators → OperatorHub. Search for grafana and install the operator within the newly created namespace, prometheus-operator

2. With the installation of the Grafana operator complete, provide the Prometheus service and port as shown in the grafana-datasources.yaml file.

3. Apply the grafana-datasources.yaml file:

oc apply -f grafana-datasources.yaml -n prometheus-operator

4. With the datasource in place, install the Grafana instance using the grafana.yaml.

5. Apply the grafana.yaml file:

oc apply -f grafana-instance.yaml -n prometheus-operator

6. Use the pre-built Grafana dashboard, grafana-dashboard.yaml, that displays the different automation controller metrics.

NOTE: This Grafana dashboard may be customized to better fit your needs on the metrics you wish to capture.

7. Apply the grafana-dashboard.yaml file:

oc apply -f grafana-dashboard.yaml -n prometheus-operator

8. Get the Grafana route to access the dashboard.

oc get route grafana-route -n prometheus-operator

9. Get the password to login to the Grafana dashboard as the admin user.

oc get secret grafana-admin-credentials -o --no-headers | base64 -D

10. Once logged into Grafana, access the dashboards and select the pre-populated Ansible Automation Platform dashboard, which will provide a display as shown below.

And there you have it! With just a few YAML files, you can have a fully monitored Ansible Automation Platform in minutes so you can keep track of the key metrics for a healthy Ansible Automation Platform cluster.


What can I do next?

If you want to try these steps for yourself, go check out our Self-paced exercises. In there, you will find a self-paced exercise that assists in Deploying Ansible Automation Platform on OpenShift. Take it a step further and use the playground time to add Prometheus and Grafana, just as I have here!

And remember, no matter where you are in your automation journey, we have a variety of resources available to enhance your automation knowledge:


OpenShift, Ansible Automation Platform


Roger Lopez

Roger Lopez is a Principal Technical Marketing Manager bringing 10+ years of computer industry experience delivering high-value solutions used by our sales, marketing and engineering teams to develop best practice documentation & methods for internal and external customers. He is a Red Hat Certified Engineer (RHCE) with experience building solutions around Ansible, OpenShift and OpenStack.

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