Get help and troubleshooting instructions when you have problems with your Kubernetes integration setup.

For an in depth overview of the Kubernetes integration and how it is deployed, navigate to our GitHub readme page.

Not Enough Instances of VMware Aria Operations for Applications Components

You might see a message containing information that there are not enough instances of the VMware Aria Operations for Applications (formerly known as Tanzu Observability by Wavefront) components, such as:

  • Wavefront proxy
  • Wavefront cluster collector
  • Wavefront node collector
  • Wavefront logging

In such as case, upon initial deployment, allow some time for the integration components to complete installing. This issue is observed more often in more resource-constrained environments, such as kind and minikube.

If the issue persists, check the logs for more details:

  • For the Wavefront proxy logs, run:

    kubectl logs deployment/wavefront-proxy -n observability-system
    
  • For the Wavefront node collector logs, run:

    kubectl logs daemonset/wavefront-node-collector -n observability-system
    
  • For the Wavefront cluster collector logs, run:
    kubectl logs deployment/wavefront-cluster-collector -n observability-system
    
  • For the Wavefront logging logs, run:
    kubectl logs daemonset/wavefront-logging -n observability-system
    

No Data Flowing into VMware Aria Operations for Applications

If you identify that there is a problem with data flowing into VMware Aria Operations for Applications, follow the steps below.

Step 1: Check the Status of the Integration Locally

To verify that the system is healthy, run:

 kubectl get wavefront -n observability-system

The command returns a result with information, such as:

NAME STATUS PROXY CLUSTER-COLLECTOR NODE-COLLECTOR LOGGING AGE MESSAGE
wavefront Healthy Running (1/1) Running (1/1) Running (3/3) Running (3/3) 3h3m All components are healthy

Step 2: Verify That the Wavefront Proxy Is Running

The Wavefront proxy forwards logs, metrics, traces, and spans from all components to VMware Aria Operations for Applications. If no data is flowing, this means that the proxy might be not running.

To check the Wavefront proxy logs for errors, run:

kubectl logs deployment/wavefront-proxy -n observability-system  | grep ERROR

The most common Wavefront proxy log errors are:

HTTP 401 Unauthorized

  1. If you see this error, run the following command to get your current API token and confirm that it is correctly configure:

    kubectl get secrets wavefront-secret -n observability-system -o json | jq '.data' | cut -d '"' -f 4 | tr -d '{}' | base64 --decode
    
  2. Follow the resolution steps from HTTP 401 Unauthorized ERROR Message.

Unknown Host or Unable to Check In

  • Without an HTTP Proxy

    If you see an error of this type and you don’t use an HTTP proxy, verify that you have specified the correct URL address in your Wavefront CR:

    kubectl -n observability-system get wavefront -o=jsonpath='{.items[*].spec.wavefrontUrl}'
    
  • With an HTTP Proxy

    If you see an error of this type and you use an HTTP proxy, follow these steps:

    1. Verify that the proxy recognizes your HTTP proxy configuration.

      kubectl logs deployment/wavefront-proxy -n observability-system | grep proxyHost
      

      The value after --proxyHost must match what you have configured as the http-url in your HTTP proxy secret.

    2. Determine the name of your HTTP proxy secret.

       kubectl -n observability-system get wavefront -o=jsonpath='{.items[*].spec.dataExport.wavefrontProxy.httpProxy.secret}'
      
    3. Verify that the secret has the proper keys and values. Check out our example.

       kubectl -n observability-system get secret http-proxy-secret -o=json | jq -r '.data | to_entries[] | "echo \(.key|@sh) $(echo \(.value|@sh) | base64 --decode)"' | xargs -I{} sh -c {}
            
      
    4. Check your HTTP proxy logs for warnings and errors.

Step 3: Verify That the Cluster or Node Collector Are Running

Check the logs for errors:

  • To see the Wavefront cluster collector logs, run:

    kubectl logs deployment/wavefront-cluster-collector -n observability-system
    
  • To see the Wavefront node collector logs, run:

     kubectl logs daemonset/wavefront-node-collector -n observability-system
    

Step 4: Verify That Logging Is Running

Check the logs for errors.

kubectl logs daemonset/wavefront-logging -n observability-system

Missing or Incomplete Data Flowing

If you experience gaps in data, where you can’t see expected metrics or expected metric tags, follow the instructions below.

Note: For the out-of-the box Kubernetes Control Plane dashboard, certain managed Kubernetes distributions do not support scraping of all control plane elements. For a detailed look at distribution support, see our supported metrics page.

Check the Status of All System Components

Check the status of the components:

kubectl get wavefront -n observability-system

The command returns a result with information, such as:

NAME STATUS PROXY CLUSTER-COLLECTOR NODE-COLLECTOR LOGGING AGE MESSAGE
wavefront Healthy Running (1/1) Running (1/1) Running (3/3) Running (3/3) 3h3m All components are healthy

If the STATUS is Healthy, then all the components are healthy. If the STATUS is Unhealthy, the component that is causing the issue might be not running.

Check the Proxy Backlog Status

Check whether the Wavefront proxy has backlog issues by following the instructions in our Proxy Troubleshooting page. If your proxy is having some backlog issues, try to:

Check Whether Metrics Are Being Dropped

Check the Wavefront proxy logs.

kubectl logs deployment/wavefront-proxy -n observability-system

If, in the proxy logs, you see the error Too many point tags, try to:

  • Drop tags – Use tagExclude to drop tags. See our example scenario for details.

Check Whether Metrics Are Being Filtered

Check the custom resource configuration to see the metrics that are being filtered.

kubectl describe wavefront -n observability-system

If you want to change the metrics being filtered, follow the steps in our example scenario.

Check Whether the Custom Resource Config File Is Configured Correctly

Check the status of VMware Aria Operations for Applications components.

kubectl get wavefront -n observability-system

If there are any configuration or validation errors, the MESSAGE column in the results will describe the error.

Running Workloads Are Not Discovered or Monitored

  • Check the Kubernetes Metrics Collector Troubleshooting dashboard in the Kubernetes integration for collection errors. You can use the Collection Errors per Type and Collection Errors per Endpoint charts to find the sources with metrics that are not being collected.
  • See the example scenario for configuring sources for metric collection.
  • Check the cluster collector logs to verify that the source was configured so that the metrics can be collected.
    kubectl logs deployment/wavefront-cluster-collector -n observability-system