swarmkit VS helm

It's supported, though the development pace is rather slow. The are new features (the latest release brought support for the Container Storage Interface) and bugs and issues are worked on by the few maintainers the project has. You can check the repo here: https://github.com/moby/swarmkit

So the thing is support for Swarm was delegated to Mirantis, https://www.mirantis.com/blog/mirantis-will-continue-to-support-and-develop-docker-swarm/ since it was delegated very little was done to move forward swarm _> https://github.com/moby/swarmkit/commits/master , docker swarm itself (docker the company) is deprecated https://github.com/docker-archive/classicswarm . I think because there's no way to monetize swarm there's no real push for new features hence my assumption of deprecation.

Feature request: Enable "--device" in "stack deploy" for Confidential Computing

This doesn't look that abandoned? https://github.com/moby/swarmkit

Or are you talking about swarm the product (versus docker swarm mode)

I don’t feel a momentum in Docker Swarm development, seeing pull requests like #3072 sitting idle for half a year, originally from 2016.

privileged not being supported is problematic, but there are PRs for it on swarmkit, see https://github.com/moby/swarmkit/pull/3072 - let's see if that gets in.

swarm ha placement

It is already in a different repo: moby/swarmkit

Docker Swarm is dead. It should not be used for new projects because the competitive products are much better and more optimal. Check their repo bro - last commit 3months ago. https://github.com/docker/swarmkit https://www.reddit.com/r/docker/comments/ituysl/why_people_are_saying_docker_swarm_is_in_life/ Why would you start a project with a tool which got no future? Let's then use Silverlight or any shit like that.

Mostly it just needs resource defaults merged and some abstract type support so load balancer config doesn't have to be entirely by labels and I would never shift from it.

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.