An Ansible AWX operator for Kubernetes built with Operator SDK and Ansible.
- AWX Operator
- Table of Contents
This operator is meant to provide a more Kubernetes-native installation method for AWX via an AWX Custom Resource Definition (CRD).
This Kubernetes Operator is meant to be deployed in your Kubernetes cluster(s) and can manage one or more AWX instances in any namespace.
For testing purposes, the awx-operator
can be deployed on a Minikube cluster. Due to different OS and hardware environments, please refer to the official Minikube documentation for further information.
$ minikube start --cpus=4 --memory=6g --addons=ingress
😄 minikube v1.23.2 on Fedora 34
✨ Using the docker driver based on existing profile
👍 Starting control plane node minikube in cluster minikube
🚜 Pulling base image ...
🏃 Updating the running docker "minikube" container ...
🐳 Preparing Kubernetes v1.22.2 on Docker 20.10.8 ...
🔎 Verifying Kubernetes components...
▪ Using image gcr.io/k8s-minikube/storage-provisioner:v5
▪ Using image k8s.gcr.io/ingress-nginx/controller:v1.0.0-beta.3
▪ Using image k8s.gcr.io/ingress-nginx/kube-webhook-certgen:v1.0
▪ Using image k8s.gcr.io/ingress-nginx/kube-webhook-certgen:v1.0
🔎 Verifying ingress addon...
🌟 Enabled addons: storage-provisioner, default-storageclass, ingress
🏄 Done! kubectl is now configured to use "minikube" cluster and "default" namespace by default
Once Minikube is deployed, check if the node(s) and kube-apiserver
communication is working as expected.
$ minikube kubectl -- get nodes
NAME STATUS ROLES AGE VERSION
minikube Ready control-plane,master 113s v1.22.2
$ minikube kubectl -- get pods -A
NAMESPACE NAME READY STATUS RESTARTS AGE
ingress-nginx ingress-nginx-admission-create--1-kk67h 0/1 Completed 0 2m1s
ingress-nginx ingress-nginx-admission-patch--1-7mp2r 0/1 Completed 1 2m1s
ingress-nginx ingress-nginx-controller-69bdbc4d57-bmwg8 1/1 Running 0 2m
kube-system coredns-78fcd69978-q7nmx 1/1 Running 0 2m
kube-system etcd-minikube 1/1 Running 0 2m12s
kube-system kube-apiserver-minikube 1/1 Running 0 2m16s
kube-system kube-controller-manager-minikube 1/1 Running 0 2m12s
kube-system kube-proxy-5mmnw 1/1 Running 0 2m1s
kube-system kube-scheduler-minikube 1/1 Running 0 2m15s
kube-system storage-provisioner 1/1 Running 0 2m11s
It is not required for kubectl
to be separately installed since it comes already wrapped inside minikube. As demonstrated above, simply prefix minikube kubectl --
before kubectl command, i.e. kubectl get nodes
would become minikube kubectl -- get nodes
Let's create an alias for easier usage:
$ alias kubectl="minikube kubectl --"
Now you need to deploy AWX Operator into your cluster. Clone this repo and git checkout
the latest version from https://github.com/ansible/awx-operator/releases, and then run the following command:
$ export NAMESPACE=my-namespace
$ make deploy
cd config/manager && /home/user/awx-operator/bin/kustomize edit set image controller=quay.io/ansible/awx-operator:0.14.0
/home/user/awx-operator/bin/kustomize build config/default | kubectl apply -f -
namespace/my-namespace created
customresourcedefinition.apiextensions.k8s.io/awxbackups.awx.ansible.com created
customresourcedefinition.apiextensions.k8s.io/awxrestores.awx.ansible.com created
customresourcedefinition.apiextensions.k8s.io/awxs.awx.ansible.com created
serviceaccount/awx-operator-controller-manager created
role.rbac.authorization.k8s.io/awx-operator-leader-election-role created
role.rbac.authorization.k8s.io/awx-operator-manager-role created
clusterrole.rbac.authorization.k8s.io/awx-operator-metrics-reader created
clusterrole.rbac.authorization.k8s.io/awx-operator-proxy-role created
rolebinding.rbac.authorization.k8s.io/awx-operator-leader-election-rolebinding created
rolebinding.rbac.authorization.k8s.io/awx-operator-manager-rolebinding created
clusterrolebinding.rbac.authorization.k8s.io/awx-operator-proxy-rolebinding created
configmap/awx-operator-manager-config created
service/awx-operator-controller-manager-metrics-service created
deployment.apps/awx-operator-controller-manager created
Wait a bit and you should have the awx-operator
running:
$ kubectl get pods -n $NAMESPACE
NAME READY STATUS RESTARTS AGE
awx-operator-controller-manager-66ccd8f997-rhd4z 2/2 Running 0 11s
So we don't have to keep repeating -n $NAMESPACE
, let's set the current namespace for kubectl
:
$ kubectl config set-context --current --namespace=$NAMESPACE
Next, create a file named awx-demo.yml
with the suggested content below. The metadata.name
you provide, will be the name of the resulting AWX deployment.
Note: If you deploy more than one AWX instance to the same namespace, be sure to use unique names.
---
apiVersion: awx.ansible.com/v1beta1
kind: AWX
metadata:
name: awx-demo
spec:
service_type: nodeport
Finally, use kubectl
to create the awx instance in your cluster:
$ kubectl apply -f awx-demo.yml
awx.awx.ansible.com/awx-demo created
After a few minutes, the new AWX instance will be deployed. You can look at the operator pod logs in order to know where the installation process is at:
$ kubectl logs -f deployments/awx-operator-controller-manager -c awx-manager
After a few seconds, you should see the operator begin to create new resources:
$ kubectl get pods -l "app.kubernetes.io/managed-by=awx-operator"
NAME READY STATUS RESTARTS AGE
awx-demo-77d96f88d5-pnhr8 4/4 Running 0 3m24s
awx-demo-postgres-0 1/1 Running 0 3m34s
$ kubectl get svc -l "app.kubernetes.io/managed-by=awx-operator"
NAME TYPE CLUSTER-IP EXTERNAL-IP PORT(S) AGE
awx-demo-postgres ClusterIP None <none> 5432/TCP 4m4s
awx-demo-service NodePort 10.109.40.38 <none> 80:31006/TCP 3m56s
Once deployed, the AWX instance will be accessible by running:
$ minikube service awx-demo-service --url -n $NAMESPACE
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 awx-demo-admin-password -o jsonpath="{.data.password}" | base64 --decode
yDL2Cx5Za94g9MvBP6B73nzVLlmfgPjR
You just completed the most basic install of an AWX instance via this operator. Congratulations!!!
For an example using the Nginx Controller in Minukube, don't miss our demo video.
There are three variables that are customizable for the admin user account creation.
Name | Description | Default |
---|---|---|
admin_user | Name of the admin user | admin |
admin_email | Email of the admin user | [email protected] |
admin_password_secret | Secret that contains the admin user password | Empty string |
⚠️ 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
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
If the service_type
is not specified, the ClusterIP
service will be used for your AWX Tower service.
The service_type
supported options are: ClusterIP
, LoadBalancer
and NodePort
.
The following variables are customizable for any service_type
Name | Description | Default |
---|---|---|
service_labels | Add custom labels | Empty string |
---
spec:
...
service_type: ClusterIP
service_labels: |
environment: testing
- LoadBalancer
The following variables are customizable only when service_type=LoadBalancer
Name | Description | Default |
---|---|---|
loadbalancer_annotations | LoadBalancer annotations | Empty string |
loadbalancer_protocol | Protocol to use for Loadbalancer ingress | http |
loadbalancer_port | Port used for Loadbalancer ingress | 80 |
---
spec:
...
service_type: LoadBalancer
loadbalancer_protocol: https
loadbalancer_port: 443
loadbalancer_annotations: |
environment: testing
service_labels: |
environment: testing
When setting up a Load Balancer for HTTPS you will be required to set the loadbalancer_port
to move the port away from 80
.
The HTTPS Load Balancer also uses SSL termination at the Load Balancer level and will offload traffic to AWX over HTTP.
- NodePort
The following variables are customizable only when service_type=NodePort
Name | Description | Default |
---|---|---|
nodeport_port | Port used for NodePort | 30080 |
---
spec:
...
service_type: NodePort
nodeport_port: 30080
By default, the AWX operator is not opinionated and won't force a specific ingress type on you. So, when the ingress_type
is not specified, it will default to none
and nothing ingress-wise will be created.
The ingress_type
supported options are: none
, ingress
and route
. To toggle between these options, you can add the following to your AWX CRD:
- None
---
spec:
...
ingress_type: none
- Generic Ingress Controller
The following variables are customizable when ingress_type=ingress
. The ingress
type creates an Ingress resource as documented which can be shared with many other Ingress Controllers as listed.
Name | Description | Default |
---|---|---|
ingress_annotations | Ingress annotations | Empty string |
ingress_tls_secret | Secret that contains the TLS information | Empty string |
hostname | Define the FQDN | {{ meta.name }}.example.com |
ingress_path | Define the ingress path to the service | / |
ingress_path_type | Define the type of the path (for LBs) | Prefix |
---
spec:
...
ingress_type: ingress
hostname: awx-demo.example.com
ingress_annotations: |
environment: testing
- Route
The following variables are customizable when ingress_type=route
Name | Description | Default |
---|---|---|
route_host | Common name the route answers for | <instance-name>-<namespace>-<routerCanonicalHostname> |
route_tls_termination_mechanism | TLS Termination mechanism (Edge, Passthrough) | Edge |
route_tls_secret | Secret that contains the TLS information | Empty string |
---
spec:
...
ingress_type: route
route_host: awx-demo.example.com
route_tls_termination_mechanism: Passthrough
route_tls_secret: custom-route-tls-secret-name
In order for the AWX instance to rely on an external database, the Custom Resource needs to know about the connection details. Those connection details should be stored as a secret and either specified as postgres_configuration_secret
at the CR spec level, or simply be present on the namespace under the name <resourcename>-postgres-configuration
.
The secret should be formatted as follows:
---
apiVersion: v1
kind: Secret
metadata:
name: <resourcename>-postgres-configuration
namespace: <target namespace>
stringData:
host: <external ip or url resolvable by the cluster>
port: <external port, this usually defaults to 5432>
database: <desired database name>
username: <username to connect as>
password: <password to connect with>
sslmode: prefer
type: unmanaged
type: Opaque
Please ensure that the value for the variable "password" is wrapped in quotes if the password contains any special characters.
It is possible to set a specific username, password, port, or database, but still have the database managed by the operator. In this case, when creating the postgres-configuration secret, the
type: managed
field should be added.
Note: The variable sslmode
is valid for external
databases only. The allowed values are: prefer
, disable
, allow
, require
, verify-ca
, verify-full
.
For instructions on how to migrate from an older version of AWX, see migration.md.
If you don't have access to an external PostgreSQL service, the AWX operator can deploy one for you along side the AWX instance itself.
The following variables are customizable for the managed PostgreSQL service
Name | Description | Default |
---|---|---|
postgres_image | Path of the image to pull | postgres:12 |
postgres_resource_requirements | PostgreSQL container resource requirements | Empty object |
postgres_storage_requirements | PostgreSQL container storage requirements | requests: {storage: 8Gi} |
postgres_storage_class | PostgreSQL PV storage class | Empty string |
postgres_data_path | PostgreSQL data path | /var/lib/postgresql/data/pgdata |
Example of customization could be:
---
spec:
...
postgres_resource_requirements:
requests:
cpu: 500m
memory: 2Gi
limits:
cpu: 1
memory: 4Gi
postgres_storage_requirements:
requests:
storage: 8Gi
limits:
storage: 50Gi
postgres_storage_class: fast-ssd
postgres_extra_args:
- '-c'
- 'max_connections=1000'
Note: If postgres_storage_class
is not defined, Postgres will store it's data on a volume using the default storage class for your cluster.
There are a few variables that are customizable for awx the image management.
Name | Description |
---|---|
image | Path of the image to pull |
image_version | Image version to pull |
image_pull_policy | The pull policy to adopt |
image_pull_secret | The pull secret to use |
ee_images | A list of EEs to register |
redis_image | Path of the image to pull |
redis_image_version | Image version to pull |
Example of customization could be:
---
spec:
...
image: myorg/my-custom-awx
image_version: latest
image_pull_policy: Always
image_pull_secret: pull_secret_name
ee_images:
- name: my-custom-awx-ee
image: myorg/my-custom-awx-ee
Note: The image
and image_version
are intended for local mirroring scenarios. Please note that using a version of AWX other than the one bundled with the awx-operator
is not supported. For the default values, check the main.yml file.
Depending on your kubernetes cluster and settings you might need to grant some capabilities to the redis container so it can start. Set the redis_capabilities
option so the capabilities are added in the deployment.
---
spec:
...
redis_capabilities:
- CHOWN
- SETUID
- SETGID
Depending on the type of tasks that you'll be running, you may find that you need the task pod to run as privileged
. This can open yourself up to a variety of security concerns, so you should be aware (and verify that you have the privileges) to do this if necessary. In order to toggle this feature, you can add the following to your custom resource:
---
spec:
...
task_privileged: true
If you are attempting to do this on an OpenShift cluster, you will need to grant the awx
ServiceAccount the privileged
SCC, which can be done with:
$ oc adm policy add-scc-to-user privileged -z awx
Again, this is the most relaxed SCC that is provided by OpenShift, so be sure to familiarize yourself with the security concerns that accompany this action.
The resource requirements for both, the task and the web containers are configurable - both the lower end (requests) and the upper end (limits).
Name | Description | Default |
---|---|---|
web_resource_requirements | Web container resource requirements | requests: {cpu: 1000m, memory: 2Gi} |
task_resource_requirements | Task container resource requirements | requests: {cpu: 500m, memory: 1Gi} |
ee_resource_requirements | EE control plane container resource requirements | requests: {cpu: 500m, memory: 1Gi} |
Example of customization could be:
---
spec:
...
web_resource_requirements:
requests:
cpu: 1000m
memory: 2Gi
limits:
cpu: 2000m
memory: 4Gi
task_resource_requirements:
requests:
cpu: 500m
memory: 1Gi
limits:
cpu: 1000m
memory: 2Gi
ee_resource_requirements:
requests:
cpu: 500m
memory: 1Gi
limits:
cpu: 1000m
memory: 2Gi
You can constrain the AWX pods created by the operator to run on a certain subset of nodes. node_selector
and postgres_selector
constrains
the AWX pods to run only on the nodes that match all the specified key/value pairs. tolerations
and postgres_tolerations
allow the AWX
pods to be scheduled onto nodes with matching taints.
The ability to specify topologySpreadConstraints is also allowed through topology_spread_constraints
Name | Description | Default |
---|---|---|
postgres_image | Path of the image to pull | 12 |
postgres_image_version | Image version to pull | 12 |
node_selector | AWX pods' nodeSelector | '' |
topology_spread_constraints | AWX pods' topologySpreadConstraints | '' |
tolerations | AWX pods' tolerations | '' |
postgres_selector | Postgres pods' nodeSelector | '' |
postgres_tolerations | Postgres pods' tolerations | '' |
Example of customization could be:
---
spec:
...
node_selector: |
disktype: ssd
kubernetes.io/arch: amd64
kubernetes.io/os: linux
topology_spread_constraints: |
- maxSkew: 100
topologyKey: "topology.kubernetes.io/zone"
whenUnsatisfiable: "ScheduleAnyway"
labelSelector:
matchLabels:
app.kubernetes.io/name: "<resourcename>"
tolerations: |
- key: "dedicated"
operator: "Equal"
value: "AWX"
effect: "NoSchedule"
postgres_selector: |
disktype: ssd
kubernetes.io/arch: amd64
kubernetes.io/os: linux
postgres_tolerations: |
- key: "dedicated"
operator: "Equal"
value: "AWX"
effect: "NoSchedule"
In cases which you need to trust a custom Certificate Authority, there are few variables you can customize for the awx-operator
.
Trusting a custom Certificate Authority allows the AWX to access network services configured with SSL certificates issued locally, such as cloning a project from from an internal Git server via HTTPS. It is common for these scenarios, experiencing the error unable to verify the first certificate.
Name | Description | Default |
---|---|---|
ldap_cacert_secret | LDAP Certificate Authority secret name | '' |
bundle_cacert_secret | Certificate Authority secret name | '' |
Please note the awx-operator
will look for the data field ldap-ca.crt
in the specified secret when using the ldap_cacert_secret
, whereas the data field bundle-ca.crt
is required for bundle_cacert_secret
parameter.
Example of customization could be:
---
spec:
...
ldap_cacert_secret: <resourcename>-custom-certs
bundle_cacert_secret: <resourcename>-custom-certs
To create the secret, you can use the command below:
# kubectl create secret generic <resourcename>-custom-certs \
--from-file=ldap-ca.crt=<PATH/TO/YOUR/CA/PEM/FILE> \
--from-file=bundle-ca.crt=<PATH/TO/YOUR/CA/PEM/FILE>
In cases which you want to persist the /var/lib/projects
directory, there are few variables that are customizable for the awx-operator
.
Name | Description | Default |
---|---|---|
projects_persistence | Whether or not the /var/lib/projects directory will be persistent | false |
projects_storage_class | Define the PersistentVolume storage class | '' |
projects_storage_size | Define the PersistentVolume size | 8Gi |
projects_storage_access_mode | Define the PersistentVolume access mode | ReadWriteMany |
projects_existing_claim | Define an existing PersistentVolumeClaim to use (cannot be combined with projects_storage_* ) |
'' |
Example of customization when the awx-operator
automatically handles the persistent volume could be:
---
spec:
...
projects_persistence: true
projects_storage_class: rook-ceph
projects_storage_size: 20Gi
In a scenario where custom volumes and volume mounts are required to either overwrite defaults or mount configuration files.
Name | Description | Default |
---|---|---|
extra_volumes | Specify extra volumes to add to the application pod | '' |
web_extra_volume_mounts | Specify volume mounts to be added to Web container | '' |
task_extra_volume_mounts | Specify volume mounts to be added to Task container | '' |
ee_extra_volume_mounts | Specify volume mounts to be added to Execution container | '' |
init_container_extra_volume_mounts | Specify volume mounts to be added to Init container | '' |
init_container_extra_commands | Specify additional commands for Init container | '' |
⚠️ Theee_extra_volume_mounts
andextra_volumes
will only take effect to the globally available Execution Environments. For customee
, please customize the Pod spec.
Example configuration for ConfigMap
---
apiVersion: v1
kind: ConfigMap
metadata:
name: <resourcename>-extra-config
namespace: <target namespace>
data:
ansible.cfg: |
[defaults]
remote_tmp = /tmp
[ssh_connection]
ssh_args = -C -o ControlMaster=auto -o ControlPersist=60s
custom.py: |
INSIGHTS_URL_BASE = "example.org"
AWX_CLEANUP_PATHS = True
Example spec file for volumes and volume mounts
---
spec:
...
extra_volumes: |
- name: ansible-cfg
configMap:
defaultMode: 420
items:
- key: ansible.cfg
path: ansible.cfg
name: <resourcename>-extra-config
- name: custom-py
configMap:
defaultMode: 420
items:
- key: custom.py
path: custom.py
name: <resourcename>-extra-config
- name: shared-volume
persistentVolumeClaim:
claimName: my-external-volume-claim
init_container_extra_volume_mounts: |
- name: shared-volume
mountPath: /shared
init_container_extra_commands: |
# set proper permissions (rwx) for the awx user
chmod 775 /shared
chgrp 1000 /shared
ee_extra_volume_mounts: |
- name: ansible-cfg
mountPath: /etc/ansible/ansible.cfg
subPath: ansible.cfg
task_extra_volume_mounts: |
- name: custom-py
mountPath: /etc/tower/conf.d/custom.py
subPath: custom.py
- name: shared-volume
mountPath: /shared
⚠️ Volume and VolumeMount names cannot contain underscores(_)
In order to register default execution environments from private registries, the Custom Resource needs to know about the pull credentials. Those credentials should be stored as a secret and either specified as ee_pull_credentials_secret
at the CR spec level, or simply be present on the namespace under the name <resourcename>-ee-pull-credentials
. Instance initialization will register a Container registry
type credential on the deployed instance and assign it to the registered default execution environments.
The secret should be formated as follows:
---
apiVersion: v1
kind: Secret
metadata:
name: <resourcename>-ee-pull-credentials
namespace: <target namespace>
stringData:
url: <registry url. i.e. quay.io>
username: <username to connect as>
password: <password to connect with>
ssl_verify: <Optional attribute. Whether verify ssl connection or not. Accepted values "True" (default), "False" >
type: Opaque
The images listed in "ee_images" will be added as globally available Execution Environments. The "control_plane_ee_image" will be used to run project updates. In order to use a private image for any of these you'll need to use image_pull_secret
to provide a k8s pull secret to access it. Currently the same secret is used for any of these images supplied at install time.
You can create image_pull_secret
kubectl create secret <resoucename>-cp-pull-credentials regcred --docker-server=<your-registry-server> --docker-username=<your-name> --docker-password=<your-pword> --docker-email=<your-email>
If you need more control (for example, to set a namespace or a label on the new secret) then you can customise the Secret before storing it
Example spec file extra-config
---
apiVersion: v1
kind: Secret
metadata:
name: <resoucename>-cp-pull-credentials
namespace: <target namespace>
data:
.dockerconfigjson: <base64 docker config>
type: kubernetes.io/dockerconfigjson
If you need to export custom environment variables to your containers.
Name | Description | Default |
---|---|---|
task_extra_env | Environment variables to be added to Task container | '' |
web_extra_env | Environment variables to be added to Web container | '' |
ee_extra_env | Environment variables to be added to EE container | '' |
⚠️ Theee_extra_env
will only take effect to the globally available Execution Environments. For customee
, please customize the Pod spec.
Example configuration of environment variables
spec:
task_extra_env: |
- name: MYCUSTOMVAR
value: foo
web_extra_env: |
- name: MYCUSTOMVAR
value: foo
ee_extra_env: |
- name: MYCUSTOMVAR
value: foo
Withextra_settings
, you can pass multiple custom settings via the awx-operator
. The parameter extra_settings
will be appended to the /etc/tower/settings.py
and can be an alternative to the extra_volumes
parameter.
Name | Description | Default |
---|---|---|
extra_settings | Extra settings | '' |
Example configuration of extra_settings
parameter
spec:
extra_settings:
- setting: MAX_PAGE_SIZE
value: "500"
- setting: AUTH_LDAP_BIND_DN
value: "cn=admin,dc=example,dc=com"
If you need to modify some ServiceAccount
proprieties
Name | Description | Default |
---|---|---|
service_account_annotations | Annotations to the ServiceAccount | '' |
Example configuration of environment variables
spec:
service_account_annotations: |
eks.amazonaws.com/role-arn: arn:aws:iam::<ACCOUNT_ID>:role/<IAM_ROLE_NAME>
To uninstall an AWX deployment instance, you basically need to remove the AWX kind related to that instance. For example, to delete an AWX instance named awx-demo, you would do:
$ kubectl delete awx awx-demo
awx.awx.ansible.com "awx-demo" deleted
Deleting an AWX instance will remove all related deployments and statefulsets, however, persistent volumes and secrets will remain. To enforce secrets also getting removed, you can use garbage_collect_secrets: true
.
To upgrade AWX, it is recommended to upgrade the awx-operator to the version that maps to the desired version of AWX. To find the version of AWX that will be installed by the awx-operator by default, check the version specified in the image_version
variable in roles/installer/defaults/main.yml
for that particular release.
Apply the awx-operator.yml for that release to upgrade the operator, and in turn also upgrade your AWX deployment.
Starting with awx-operator 0.14.0, AWX can only be deployed in the namespace that the operator exists in. This is called a namespace-scoped operator. If you are upgrading from an earlier version, you will want to
delete your existing awx-operator
service account, role and role binding.
Starting with awx-operator 0.14.0, the project is now based on operator-sdk 1.x. You may need to manually delete your old operator Deployment to avoid issues.
Please visit our contributing guidelines.
The first step is to create a draft release. Typically this will happen in the Stage Release workflow for AWX and you dont need to do it as a separate step.
If you need to do an independent release of the operator, you can run the Stage Release in the awx-operator repo. Both of these workflows will run smoke tests, so there is no need to do this manually.
After the draft release is created, publish it and the Promote AWX Operator image will run, publishing the image to Quay.
This operator was originally built in 2019 by Jeff Geerling and is now maintained by the Ansible Team