draft VS helm

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?

Applying Kubernetes manifests individually is problematic because files can get overlooked. Packaging your applications as Helm charts lets you version your manifests and easily repeat deployments into different environments. Helm tracks the state of each deployment as a "release" in your cluster.

helm

Explanation here: https://github.com/helm/helm/issues/12681#issuecomment-19593...

Looks like it's a bug in Helm, but actually isn't Helm's fault, the issue was introduced by Fedora Linux.

Helm (Get from here https://helm.sh/)

It’s also well understood that having a k8s cluster is not enough to make developers able to host their services - you need a devops team to work with them, using tools like delivery pipelines, Helm, kustomize, infra as code, service mesh, ingress, secrets management, key management - the list goes on! Developer Portals like Backstage, Port and Cortex have started to emerge to help manage some of this complexity.

Kubernetes orchestrates deployments and manages resources through yaml configuration files. While Kubernetes supports a wide array of resources and configurations, our aim in this tutorial is to maintain simplicity. For the sake of clarity and ease of understanding, we will use yaml configurations with hardcoded values. This method simplifies the learning process but isn’t ideal for production environments due to the need for manual updates with each new deployment. Although there are methods to streamline and automate this process, such as using Helm charts or bash scripts, we’ll not delve into those techniques to keep the tutorial manageable and avoid fatigue — you might be quite tired by that point!

Helm is a package manager that automates Kubernetes applications' creation, packaging, configuration, and deployment by combining your configuration files into a single reusable package. This eliminates the requirement to create the mentioned Kubernetes resources by ourselves since they have been implemented within the Helm chart. All we need to do is configure it as needed to match our requirements. From the public Helm chart repository, we can get the charts for common software packages like Consul, Jenkins SonarQube, etc. We can also create our own Helm charts for our custom applications so that we don’t need to repeat ourselves and simplify deployments.

We can search for charts https://helm.sh/ . Charts can be pulled(downloaded) and optionally unpacked(untar).

Generally I felt as if I was diving in the deepest of waters without the correct equipement and that was horrifying. Unfortunately to me, I had to dive even deeper before getting equiped with tools like ArgoCD, and k8slens. I had to start working with... HELM.

Within the architecture of Cyclops, a central component is the Helm engine. Helm is very popular within the Kubernetes community; chances are you have already run into it. The popularity of Helm plays to Cyclops's strength because of its straightforward integration.