Skip to main content

dotnet monitor–Run as a sidecar in a Kubernetes cluster

Yesterday I blogged about ‘dotnet monitor’ and how it can help you to collect diagnostic artifacts at runtime in a uniform way.

Let’s have a look today on how to use ‘dotnet monitor’ inside a Kubernetes cluster.

When running in a cluster, it is recommend to run the dotnet-monitor container as a sidecar alongside your application container in the same pod.

Here is an example manifest on how to set this up:

Most important to notice in the manifest is that you need to share a volume between the application container and the sidecar.

Let’s deploy this manifest:

$ kubectl apply –f ./dotnetmonitor.yaml

Once your pods are up and running, we need to use port forwarding to be able to access the diagnostics endpoint from our local machine.

To do this, we first need to find the name of the pod :

$ kubectl get pod -l app=dotnet-monitor-example
NAME                                 READY   STATUS    RESTARTS   AGE
dotnet-monitor-example-78997f8fdf-nrhp7   2/2     Running   0          5m

Now we know the pod name, we an forward traffic using the kubectl port-forward command:

$ kubectl port-forward pods/dotnet-monitor-example-78997f8fdf-nrhp7 52323:52323

Now we can invoke the different endpoints the same way as before:

$ curl -s http://localhost:52323/processes | jq

Remark: Although the example above worked on my local cluster, I got into trouble when I tried to do use the same steps on AKS. I'll share another post to explain where I got into trouble and how I fixed it.

Popular posts from this blog

Podman– Command execution failed with exit code 125

After updating WSL on one of the developer machines, Podman failed to work. When we took a look through Podman Desktop, we noticed that Podman had stopped running and returned the following error message: Error: Command execution failed with exit code 125 Here are the steps we tried to fix the issue: We started by running podman info to get some extra details on what could be wrong: >podman info OS: windows/amd64 provider: wsl version: 5.3.1 Cannot connect to Podman. Please verify your connection to the Linux system using `podman system connection list`, or try `podman machine init` and `podman machine start` to manage a new Linux VM Error: unable to connect to Podman socket: failed to connect: dial tcp 127.0.0.1:2655: connectex: No connection could be made because the target machine actively refused it. That makes sense as the podman VM was not running. Let’s check the VM: >podman machine list NAME         ...

Azure DevOps/ GitHub emoji

I’m really bad at remembering emoji’s. So here is cheat sheet with all emoji’s that can be used in tools that support the github emoji markdown markup: All credits go to rcaviers who created this list.

VS Code Planning mode

After the introduction of Plan mode in Visual Studio , it now also found its way into VS Code. Planning mode, or as I like to call it 'Hannibal mode', extends GitHub Copilot's Agent Mode capabilities to handle larger, multi-step coding tasks with a structured approach. Instead of jumping straight into code generation, Planning mode creates a detailed execution plan. If you want more details, have a look at my previous post . Putting plan mode into action VS Code takes a different approach compared to Visual Studio when using plan mode. Instead of a configuration setting that you can activate but have limited control over, planning is available as a separate chat mode/agent: I like this approach better than how Visual Studio does it as you have explicit control when plan mode is activated. Instead of immediately diving into execution, the plan agent creates a plan and asks some follow up questions: You can further edit the plan by clicking on ‘Open in Editor’: ...