kustomize VS helm-charts

kustomize: brew install kustomize

It's a built in feature of kustomize https://github.com/kubernetes-sigs/kustomize/blob/master/api/types/helmchartargs.go

I think the combination of Kustomize and helm works in my experience. For advanced use cases, you can also see KRM functions in Kustomize.

See for instance a related issue: https://github.com/kubernetes-sigs/kustomize/issues/3866

Using a strategic merge is the safest way so you avoid the index fragility.

Rendering out the manifests is something I have been pushing for. Not having to understand how every templating tool works and what actually is being changed is key. Though, it gets complicated when you use helm (or any templating/patching tool) that produces many variants. You also lose any release/deployment time hooks that are provided (helm hooks or recently "patched" kustomize env variables).

https://github.com/kubernetes-sigs/kustomize/blob/master/examples/chart.md (edit: oh I see the other commenter also included this link, oops)

Kustomize is an open-source project that “lets you customize raw, template-free YAML files for multiple purposes, leaving the original YAML untouched and usable as is.” It’s now the most popular tool for customizing Kubernetes manifests reasonably, and it’s even built directly into the Kubernetes CLI since K8s v1.14.

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!

Since their are different ways to install what exactly did you install? Vanilla charts , stack, operator? https://github.com/prometheus-community/helm-charts/tree/main/charts