DataDog Docker Example Doesn't Work

Using the DataDog Docker example from GitHub does not work (without error) out of the box.

It appears to be unable to detect/connect to the kubelet. Are there any examples of how to get this running properly on Render?

Error:
Error running check kubelet: [{“message”: “Unable to detect the kubelet URL automatically: impossible to reach Kubelet with host: . Please check if your setup requires kubelet_tls_verify = false. Activate debug logs to see all attempts made”, “traceback”: "Traceback (most recent call last):\n File “/opt/datadog-agent/embedded/lib/python2.7/site-packages/datadog_checks/base/checks/base.py”, line 897, in run\n self.check(instance)\n File “/opt/datadog-agent/embedded/lib/python2.7/site-packages/datadog_checks/kubelet/kubelet.py”, line 311, in check\n raise CheckException(“Unable to detect the kubelet URL automatically: " + kubelet_conn_info.get(‘err’, ‘’))\nCheckException: Unable to detect the kubelet URL automatically: impossible to reach Kubelet with host: . Please check if your setup requires kubelet_tls_verify = false. Activate debug logs to see all attempts made\n”}]

There are some (kinda) similar issues on the GitHub repo for the DataDog agent, but those all seem to be when running the agent as a k8s sidecar, and it doesn’t seem like that is what is happening here?

Thanks Connor for pushing the clarification to the example repo!

Errors of the form "Unable to detect the kubelet URL automatically: impossible to reach Kubelet with host: can be safely ignored. The kubelet is part of the Render control plane and inaccessible to user workloads. The DataDog Agent will still be able to capture and send metrics from your applications.