draft VS skaffold

Draft exists to help folks get up and running on Kubernetes more easily.

Acorn will take care of creating your Kubernetes manifest files but it expects that you have a Dockerfile ready to containerize your app. Instead of writing a Dockerfile from scratch, we'll use the Draft CLI to generate one for us. Draft is able to detect languages used within your project and generate the appropriate Docker manifest to containerize your app.

The development concept at level 2 is essentially the same as at level 1. The code is deployed via a pipeline to a Kubernetes cluster. However, at this stage, developers are using special CLI tools, such as Skaffold, Draft, or Tilt that detect the file changes by the developer and then automatically trigger the pipelines.

Draft is an open-source project that streamlines Kubernetes development by taking a non-containerized application and generating the Dockerfiles, Kubernetes manifests, Helm charts, Kustomize configurations, and other artifacts associated with a containerized application. Draft can also create a GitHub Action workflow file to quickly build and deploy applications onto any Kubernetes cluster.

Azure/draft where it's an archived repository

Does anyone know what happened to Microsofts Kubernetes project Draft? On GitHub it is marked as archived: https://github.com/Azure/draft

Many of the PaaS open source implementations whether built on top of k8s or otherwise turning up dead or getting lower and lower traction. Examples would be flynn.io, for example or draft (https://github.com/Azure/draft) seems also sort of dead. What gives? What's happening? Is there no place for PaaS anymore because there are too many already? Or k8s deployment and operation is that simplified to the point that with Helm, Tekton and Brigade etc - there's a general convergence on a DIY K8s and away from PaaS layers even if they're built atop K8s?

A nice middle ground is using a tool like Google's Skaffold, which provides "Bazel-like" capabilities for composing Docker images and tagging them based on a number of strategies, including file manifests. In my case, I also use build args to explicitly set versions of external dependencies.

While I am in a Typescript environment with this setup at the moment, my personal experience that Skaffold with Docker has a lighter implementation and maintenance overhead than Bazel. (You also get the added benefit of easy deployment and automatic rebuilds.)

I quite liked using Bazel in a small Golang monorepo, but I ran into pain when trying to do things like include third-party pre-compiled binaries in the Docker builds, because of the unusual build rules convention. The advantage of Skaffold is it provides a thin build/tag/deploy/verify layer over Docker and other container types. Might be worth a look!

Kudos to the Google team building it! https://skaffold.dev

To get a similar experience of preevy up, first we’ll need to split the build and deploy using process or alternatively employ tools that orchestrate build-tag-push-update-sync flow like Skaffold/Tilt.

We will be using docker and microk8s from Canonical. For running our software during development, we will be using skaffold which is a great tool developed by Google.

To add more context, if you are developing containers in a local dev environment, the minimum you should have is the Google Cloud SDK and Skaffold. The SDK will allow you to programmatically interact with Googleapis e.g. auth, services, resources. Skaffold will allow you to build and deploy to the cloud similar to working with a local dev environment.

I have used both Skaffold and Devspace. I prefer the latter.

I wonder if it has some overlap with https://skaffold.dev/.

K3d and Skaffold for local development

skaffold.dev - build in k8s - no more asking for the database password. All the plumbing to the backend is just done so it's easier for them to test and demo any branch