I am fairly new to kubernetes - I have developed web UI/API that automates model deployment using Azure Machine Learning Services to Azure Kubernetes Services (AKS). As a hardening measure, I am tying to set up managed identity for deployed pods in AKS using this documentation. One of the step is to edit the deployment to add identity-feature label at /spec/template/metadata/labels
for the deployment (see para starting like Edit the deployment to add ...
in this section).
I wish to automate this step using python kubernetes client (https://github.com/kubernetes-client/python). Browsing the available API, I was wondering that perhaps patch_namespaced_deployment
will allow me to edit deployment and add label at /spec/template/metadata/labels
. I was looking for some example code using the python client for the same - any help to achieve above will be appreciated.
Have a look at this example:
https://github.com/kubernetes-client/python/blob/master/examples/deployment_crud.py#L62-L70
def update_deployment(api_instance, deployment):
# Update container image
deployment.spec.template.spec.containers[0].image = "nginx:1.16.0"
# Update the deployment
api_response = api_instance.patch_namespaced_deployment(
name=DEPLOYMENT_NAME,
namespace="default",
body=deployment)
print("Deployment updated. status='%s'" % str(api_response.status))
The Labels are on the deployment object, from the App v1 API,
kind: Deployment
metadata:
name: deployment-example
spec:
replicas: 3
revisionHistoryLimit: 10
template:
metadata:
labels:
app: nginx
which means you need to update the following:
deployment.spec.template.metadata.labels.app = "nginx"