ApplicationInsights-Kubernetes/troubleshooting
Saar Shen b3b7627031
Dev/saars/compliance docker registry (#263)
* Remove deprecated basic usage example

* Update registry for Windows container example

* Bump up registry for zero user code light up example

* Refresh troubleshooting project
2022-05-23 11:23:28 -07:00
..
AIK8sTroubleShooting Dev/saars/compliance docker registry (#263) 2022-05-23 11:23:28 -07:00
README.md Update README.md 2018-08-15 10:09:01 -07:00

README.md

Troubleshooting the Environment

Kubernetes cluster configuration could be complex. To run the app with Application Insights for Kubernetes on does not always work on the first try. It is a challenge when it is not clear where the issue comes from - the configuration for Kubernetes, the build of the images or the library of Application Insights for Kubernetes.

The purpose of this project is to provide a known good image with Application Insights for Kubernetes pre-installed, that can be easily deployed to the K8s cluster to verify it runs. The image also takes the role to gather trace logs to identify the possible cause of the issues.

Prerequisite

  • A Kubernetes Cluster that you can manage with kubectl.
    • If you don't have any, an easy way is to go to Azure AKS to get a managed cluster. Verify that the credential is properly set for kubectl to work:
      user@user-pc:~$ kubectl get nodes
      NAME                       STATUS    ROLES     AGE       VERSION
      aks-nodepool1-10984277-0   Ready     agent     17d       v1.9.9
      aks-nodepool1-10984277-1   Ready     agent     17d       v1.9.9
      aks-nodepool1-10984277-2   Ready     agent     17d       v1.9.9
      user@user-pc:~$
      
    • The latest Docker for Windows Community Edition also supports using Kubernetes as its orchestrator.

Deploy the troubleshooting image

  • Review the content in k8s.yaml.
  • Deploy it:
kubectl create -f https://raw.githubusercontent.com/Microsoft/ApplicationInsights-Kubernetes/develop/troubleshooting/AIK8sTroubleShooting/k8s/k8s.yaml
  • Wait until the pod becomes Running:
kubectl get pods

Result

NAME                                      READY     STATUS    RESTARTS   AGE
ai-k8s-troubleshooting-69fcc95796-v4gxn   1/1       Running   0          12s
  • Get the log for the pods:
kubectl logs ai-k8s-troubleshooting-<random-string>

Result when your cluster is configured correctly:

trce: Microsoft.ApplicationInsights.Kubernetes.K8sQueryClient[0]
      Default Header: Authorization: Bearer <Your Bearer Token>
dbug: Microsoft.ApplicationInsights.Kubernetes.K8sQueryClient[0]
      Query succeeded.

If there are issues, you will see errors like this:

dbug: Microsoft.ApplicationInsights.Kubernetes.K8sQueryClient[0]
      Query Failed. Request Message: Method: GET, RequestUri: 'https://10.0.0.1/api/v1/namespaces/default/pods', Version: 2.0, Content: <null>, Headers:
      {
        Authorization: Bearer <Your Bearer Token>
      }. Status Code: Forbidden. Phase: Forbidden
crit: Microsoft.ApplicationInsights.Kubernetes.K8sEnvironmentFactory[0]
      Fail to fetch the pod information in time. Kubernetes info will not be available for the telemetry.

Tips: after fixing the configuration, delete the pod directly, another pod will be created automatically so that you don't have to do the redeployment.

  • Remove the troubleshooting deployment once done
kubectl delete -f https://raw.githubusercontent.com/Microsoft/ApplicationInsights-Kubernetes/develop/troubleshooting/AIK8sTroubleShooting/k8s/k8s.yaml

Under the hood

If you are interested in how the troubleshooting image is built, reference the code in AIK8sTroubleShooting folder.

Next step

Reference the examples to add Application Insights for Kubernetes to your projects.