A Kubernetes operator for Kubernetes built with Operator SDK and Ansible for deploying and maintaining the lifecycle of your EDA Server application.

This operator is meant to provide a more Kubernetes-native installation method for EDA Server via an EDA Custom Resource Definition (CRD). In the future, this operator will grow to be able to maintain the full life-cycle of an EDA Server deployment. Currently, it can handle fresh installs and upgrades.

• EDA Server Operator
  • Overview
• Table of Contents
  • Contributing
    • Prerequisites
  • Install the EDA Server Operator
  • Deploy EDA
  • Advanced Configuration
    • Admin user account configuration
    • Database Fields Encryption Configuration
    • Additional Advanced Configuration
  • Maintainers Docs

Please visit our contributing guide which has details about how to set up your development environment.

• Install the kubernetes-based cluster of your choice:
  • Openshift
  • K8s
  • CodeReady containers
  • minikube
• Deploy AWX using the awx-operator
• Create an OAuth2 token for your user in the AWX UI

Before you begin, you need to have a k8s cluster up. If you don't already have a k8s cluster, you can use minikube to start a lightweight k8s cluster locally by following these minikube test cluster docs.

Once you have a running Kubernetes cluster, you can deploy EDA Server Operator into your cluster using Kustomize. Since kubectl version 1.14 kustomize functionality is built-in (otherwise, follow the instructions here to install the latest version of Kustomize: https://kubectl.docs.kubernetes.io/installation/kustomize/)

First, create a file called kustomization.yaml with the following content:

apiVersion: kustomize.config.k8s.io/v1beta1
kind: Kustomization
resources:
  - config/default

# Set the image tags to match the git version from above
images:
  - name: quay.io/ansible/eda-server-operator
    newTag: 0.0.1

# Specify a custom namespace in which to install EDA
namespace: eda

You can use kustomize directly to dynamically modify things like the operator deployment at deploy time. For more info, see the kustomize install docs.

Install the manifests by running this:

$ kubectl apply -k .

Check that your operator pod is running, this may take about a minute.

$ kubectl get pods

EDA is designed to be used alongside the AWX project to trigger automation jobs in AWX. There is some configuration that needs to be done in AWX first so that EDA can AWX.

1. Create an access token in your AWX instance using these docs.

2. Now that your operator pod is up and running, you can create an EDA Server resource by applying the following YAML:

Warning At the moment, If you are using custom image eda-server and eda-ui images that are in a private registry, you will need to create and configure a pull secret.

# eda.yaml
apiVersion: eda.ansible.com/v1alpha1
kind: EDA
metadata:
  name: my-eda
spec:
  automation_server_url: https://awx-host

3. Now apply this yaml

$ kubectl apply -f eda.yaml

Once deployed, the EDA instance will be accessible by running:

$ minikube service -n eda eda-demo-service --url

If you are using Openshift, you can take advantage of automatic Route configuration an EDA custom resource like this:

apiVersion: eda.ansible.com/v1alpha1
kind: EDA
metadata:
  name: eda-demo
spec:
  automation_server_url: https://awx-host
  service_type: ClusterIP
  ingress_type: Route
  image_pull_secrets:
    - pull_secret_name

If using Openshift, EDA instance will be accessible by running:

$ oc get route -n eda eda-demo

By default, the admin user is admin and the password is available in the <resourcename>-admin-password secret. To retrieve the admin password, run:

$ kubectl get secret eda-demo-admin-password -o jsonpath="{.data.password}" | base64 --decode ; echo
yDL2Cx5Za94g9MvBP6B73nzVLlmfgPjR

There are three variables that are customizable for the admin user account creation.

⚠️ admin_password_secret must be a Kubernetes secret and not your text clear password.

If admin_password_secret is not provided, the operator will look for a secret named <resourcename>-admin-password for the admin password. If it is not present, the operator will generate a password and create a Secret from it named <resourcename>-admin-password.

To retrieve the admin password, run kubectl get secret <resourcename>-admin-password -o jsonpath="{.data.password}" | base64 --decode ; echo

The secret that is expected to be passed should be formatted as follow:

---
apiVersion: v1
kind: Secret
metadata:
  name: <resourcename>-admin-password
  namespace: <target namespace>
stringData:
  password: mysuperlongpassword

This encryption key is used to encrypt sensitive data in the database.

⚠️ db_fields_encryption_secret must be a Kubernetes secret and not your text clear secret value.

If db_fields_encryption_secret is not provided, the operator will look for a secret named <resourcename>-db-fields-encryption-secret for the encryption key. If it is not present, the operator will generate a secret value and create a Secret containing it named <resourcename>-db-fields-encryption-secret. It is important to not delete this secret as it will be needed for upgrades and if the pods get scaled down at any point. If you are using a GitOps flow, you will want to pass a secret key secret and not depend on the generated one.

The secret should be formatted as follow:

---
apiVersion: v1
kind: Secret
metadata:
  name: custom-eda-db-encryption-secret
  namespace: <target namespace>
stringData:
  secret_key: supersecuresecretkey

Then specify the name of the k8s secret on the EDA spec:

---
spec:
  ...
  db_fields_encryption_secret: custom-eda-db-encryption-secret

• No Log
• Deploy a Specific Version of EDA
• Trusting a Custom Certificate Authority

Maintainers of this repo need to carry out releases, triage issues, etc. There are docs for those types of administrative tasks in the docs/maintainer/ directory.

To release the EDA Server Operator, see these docs:

• Release Operator