pack VS helm-charts

I've recently found this quote by Kelsey Hightower:

"I'm convinced the majority of people managing infrastructure just want a PaaS. The only requirement: it has to be built by them."

Source: https://twitter.com/kelseyhightower/status/85193508753294540...

In the last few weeks, I've experimented a bit with Flux (https://fluxcd.io/), Tekton (https://tekton.dev/) and Cloud Native Buildpacks (https://buildpacks.io/) on how to provide K8s powered git push deployments without using a dedicated CI/CD server.

My project is still in early alpha stage and just a proof of concept :-) My vision is to expand it into an Open Source PaaS in the future.

Do you think the above quote is true? What does an open source PaaS need to be like in order to be accepted by software developers?

Some other projects have been discontinued in the past (like Flynn or Deis) or were created before the Kubernetes era.

Is it the right direction to provide a Heroku like solution based on K8s or is it better to provide an Open Source Infrastructure as Code library with building blocks to avoid everything from scratch?

Although Dockerfiles have the benefit of migrating existing workloads to containers without having to update your toolchain, I definitely prefer the container-first workflow. Cloud Native [Buildpacks](https://buildpacks.io/) are a CNCF incubating project but were proven at Heroku. Buildpacks support common languages, but working on a Go project I've also had a great experience with [ko](https://ko.build/). Free yourself from Dockerfile!

Cloud Native Buildpacks

It's big and overwhelming and sometimes scary. But you know what? It's also fun, engaging, and very refreshing. Because I'm a DevRel, I don't have many chances to focus on something particular. Still, I'm having a lot of fun exploring different CMSs (like Statamic, Craft, or Sanity), new approaches (at last, I understood why the headless approach is so important), and diving into tech I never used before (hello Buildpacks).

[5] https://buildpacks.io/

Devbox analyzes your source code and instantly turns it into an OCI-compliant image that can be deployed to any cloud. The image is optimized for speed, size, security and caching ... and without needing to write a Dockerfile. And unlike buildpacks, it does it quickly.

I had a short look into buildpacks.io . So I don't have a firm opinion yet. But as much i understand now, it really builds Container images. Kubero goes a different approach. The buildstep only compiles the project to a mounted volume, which is mounted readonly to the running container. Further more is the detection step unnecessary, since the dev knows what he wants to build and selects the buildimage. How ever, I'm still looking into it, so see if my project can profit from the great work there in any other way.

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.

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.

https://github.com/prometheus-community/helm-charts/tree/mai...

Good luck! It's a lot.

We are running the `kube-prometheus-stack` helm chart: https://github.com/prometheus-community/helm-charts/

The 2 most common approaches I have seen are kube-prometheus-stack and kube-prometheus..

A basic Prometheus setup is only a helm chart or ansible role away.

There are integration repos for configuration management like Ansible and Helm Charts that need maintainers/contributors.

Let's look at an excellent example of using those labels: the Prometheus Helm chart.