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.

Labels:

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         ...
Read more

Cache stampede: when our cache turned against us

While investigating some performance issues, we ran into an ASP.NET Core API that cached a fairly expensive aggregation query for 60 seconds. Under normal load, that was fine: one request rebuilds the cache, everyone else reads from it. Under peak load, dozens of requests would arrive in that same expiry window, all see a cache miss, and all fire the same expensive query in parallel. The database didn't like that. That was the moment when our caching layer stopped helping and started hurting. A burst of requests comes in at the same time, all miss the cache, and all go hammer the database or the downstream API at once. That's a cache stampede . The cache was supposed to protect our backend, and for a few hundred milliseconds it did the opposite. Why this happens IMemoryCache.GetOrCreate (and its async sibling) looks like it protects you, but it doesn't add any locking on its own. Look at the naive version: public async Task<Report> GetReportAsync(string key) ...
Read more

A complex system designed from scratch never works

A few years ago, I worked as an architect on a big mainframe rewrite. I still count it as one of my failures. Not because the technology was wrong, but because I couldn't convince the management team to simplify the approach. Years later, the organization is still struggling to get the new system up and running. I left the project at the time, because I couldn't put my name behind an approach that would take very long and cost a lot of money without a working system to show for it along the way. Gall’s Law That memory keeps coming back to me, because it's a textbook case of Gall's Law playing out in real life. Gall's Law , from John Gall's Systemantics , states it plainly: A complex system that works is invariably found to have evolved from a simple system that worked. A complex system designed from scratch never works, and it cannot be patched to make it work. You have to start over with a simple system that works. What does that mean in practice,...
Read more