I am not able to enable container insights from my Azure Arc for Kubernetes version 1.22, error reported in below

Error: {failed to install chart from path [] for release [azuremonitor-containers]: err [unable to build kubernetes objects from release manifest: [unable to recognize "": no matches for kind "ClusterRole" in version "rbac.authorization.k8s.io/v1beta1", unable to recognize "": no matches for kind "ClusterRoleBinding" in version "rbac.authorization.k8s.io/v1beta1"]]} occurred while doing the operation : {Installing the extension} on the config

It looks like the issue is related with rbac.authorization.k8s.io/v1beta1 clusterrole is deprecated in v1.17+ unavailable in v1.22+

Can you make the helm chart support version 1.22?

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Merge this pull request

Hello MSFT charts people 👋

You may know the stable and incubator chart repos will be archived on 13 November. See https://github.com/helm/charts/issues/21103 for context.

We're looking for new homes for the charts, with a preference for orgs who maintain the applications the charts install. Here are the MSFT charts I found from a repo search:

• stable/msoms
• stable/mssql-linux
• incubator/azuremonitor-containers

Would you be interested in a PR to bring Microsoft charts from stable and incubator into this repo?

As a side note, we have some processes for distributed chart repos hosted on GitHub to help efficiently bring git history, package history, and GitHub actions for CI (chart testing) and CD (chart releasing). If helpful, this could be another PR. Please lmk.

I'm deploying the TTS on premise on a Kubernetes Cluster using the following values:

textToSpeech:
  enabled: true
  numberOfConcurrentRequest: 2
  optimizeForTurboMode: true
  image:
    registry: mcr.microsoft.com
    repository: azure-cognitive-services/speechservices/neural-text-to-speech
    tag: 2.8.0-amd64-de-de-conradneural
    pullSecrets:
      - mcr # Or an existing secret
    args:
      eula: accept
      billing: <my-endpoint>
      apikey: <my-api-key>
  service:
    autoScaler:
      maxAvailablePods: 4
    type: NodePort
  verification:
    enabled: false

speechToText:
  enabled: false

Shortly after the creation of the TTS Pods they start continuously crashing due to OOM Errors. Their calculated memory limit of 3GB is not sufficient as their average usage of memory seems to be around 3 to 4GB.
I can prevent the crashing by manually removing the limit of the deployment after installing the helm chart, but still this is not the desired behavior I assume.
Is there something I am missing or does the chart need an update?

Helo,
I install the Helm Chart for Spark from this repo and it seems to work well
but we don't have a Loadbalancer in our k8s cluster, so having the fixed value of
ServiceType: Loadbalancer does not work.
Having it configurable like the other svc would be great and maybe add an ingress for livy?
Cheers

I have created a notebook using zeppelint. Inside it I am trying to acces a file in GC Storage.

It is getting this error:

Py4JJavaError: An error occurred while calling o72.csv.
: java.lang.RuntimeException: java.lang.ClassNotFoundException: Class com.google.cloud.hadoop.fs.gcs.GoogleHadoopFileSystem not found