debug-toolkit VS helm-charts

We're very much not a company of one anymore, but I used Unicorn Platform for our startups website (http://robusta.dev)

It's optimized for building a decent looking startup website in half an hour.

We now have an in house designer and frontend team so the whole thing will be replaced soon... But it got us fairly far.

I use it all the time when hiring!

We're open source (https://robusta.dev) and very involved in the kubernetes ecosystem so GitHub history is extremely relevant when we look at candidates.

We'll hire people with no GitHub activity too, but when it's available it's great

Github: https://github.com/robusta-dev/robusta Marketing site: http://robusta.dev/ Docs: https://docs.robusta.dev/master/

We're using Hikaru extensively in Robusta. The best part (well, other then the ease of use) is that Tom is super responsive to issues on GitHub and always happy to help.

To everyone saying that Kubernetes is unnecessary, try implementing autoscaling, service discovery, secrets management, and autohealing in a vendor independent way without it.

Of course none of that is necessary for a self hosted home lab, but neither is gitops.

This is a very nice example of how to set stuff up properly.

OP, I would love to see Robusta (https://robusta.dev) as part of this too. It's definitely in line with your vision of automating everything, as it let's you automate the response to alerts and other events in your cluster. (Disclaimer: I'm one of the maintainers)

Installation example for prometheus:

Prometheus can be deployed using the Prometheus Helm Chart. This helm chart contains a lot of features such as the already mentioned Push Gateway, Alert Manager and so on. For simplicity reasons of this tutorial I will not show all the Helm chart configuration but you can see a real example used by me here.

Building upon Bartłomiej Płotka's insightful blog on Prometheus and its passthrough agent mode, this post dives into implementing multi-cluster Prometheus support. Notably, the official inclusion of support in the widely-used kube-prometheus-stack came with the release in July 2023, making it easier to extend Prometheus monitoring across clusters.

The first thing you'll need, of course, is at least one backend to store metrics. So install Prometheus now:

For the request following, something like jeager https://www.jaegertracing.io/, because you are talking more about tracing than necessarily logging. For just monitoring, https://github.com/prometheus-community/helm-charts/tree/main/charts/kube-prometheus-stack would be the starting point, then it depends. Nginx gives metrics out of the box, then you can pull in the dashboard like https://grafana.com/grafana/dashboards/14314-kubernetes-nginx-ingress-controller-nextgen-devops-nirvana/ , or full metal with something like service mesh monitoring which would provably fulfil most of the requirements

kube-prometheus-stack is a Helm chart that contains several components to monitor the Kubernetes cluster, along with Grafana dashboards Grafana Dashboards to visualize the data. This option will be used in this article.

This one I highly recommend: https://github.com/prometheus-community/helm-charts/tree/main/charts/kube-prometheus-stack

We use kube-prometheus-stack for metrics and have added the K8s views dashboards from grafana-dashboards-kubernetes. You should check out the k8s-views-global dashboard. I believe it's just what you are looking for.

You should take a look at "kube-prometheus-stack". It not only includes prometheus, node-exporter and Grafana but also a ton of preconfigured alerts and dashboards. Will save you a lot of work!