popeye VS pack

We also leverage tools like Kubent, popeye, kdave, and Pluto to help us manage API deprecations (when Kubernetes deprecates features in updates) and ensure the overall health of our infrastructure.

Just came across this, sounds nice: https://popeyecli.io/

The repository for the tool can be found here.

Use tool like Kube-hunter, Popeye and Kubescape for security weaknesses and misconfigurations in kubernetes clusters and visibility of security issues.

"Popeye is a utility that scans live Kubernetes cluster and reports potential issues with deployed resources and configurations."

A similar tool is Popeye. It works on any cluster, not just clusters hosted on GKE.

https://github.com/derailed/popeye

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?

```bash (curl -sSL "https://github.com/buildpacks/pack/releases/download/v0.28.0/pack-v0.28.0-linux-arm64.tgz" | sudo tar -C /usr/local/bin/ --no-same-owner -xzv pack)

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).