Vagrant VS helm

Take a look at Vagrant! https://www.vagrantup.com/ In my admittedly limited understanding I believe it offers closer to a nix like reproducable rather than repeatable deployments.

on the off chance one hasn't been tracking it, there were several "we don't need your stinking BuSL" projects when this drama first started:

https://github.com/opentofu#why-opentofu (Terraform)

https://github.com/openbao/openbao#readme (Vault)

and I know of several attempts at Vagrant <https://github.com/hashicorp/vagrant/forks> but I don't believe one of them has caught traction yet

There are also some who have talked about an "open Nomad" but since I don't play in that space I can't speak to it

It sounds like you're using Nix as a sort of configuration management solution. CM just isn't worth it for managing a single desktop IMO. It triples the effort for whenever you need to add or remove a package, as you must now add that also to your nix configuration. You're supposed to be able to make that back up in time saved restoring to the next machine, but inevitably the next machine will be different enough that you'll have to edit it all anyway. In the end I just got tired of trying to manage my own machine with infrastructure as code (though in fairness I was using puppet at the time not nix).

I keep a git repository with all my dot files in it[1]. This seems to work the best. It has a Windows folder as well, and I copy that out whenever I need to set up Windows.

A lot of people like using WSL but I hate how it hogs on my memory. Hyper-V is a terrible virtualization engine for consumer-grade use cases because it can't thin provision RAM. If I need to use docker, I will spin up a small Linux VM using vagrant[3] with Virtualbox[4] and put Docker on there. Vagrant is an extremely underrated tool in my opinion, particularly in a Windows context.

I use scoop for packages. Typically I will scoop install msys2 and then pin it so that it doesn't get blown away by the next upgrade.

Then I basically do all of my development inside of msys2. I can get most things running in there without virtualization. In my case that means sbcl and roswell for common lisp, senpai for irc, and tmux and nvim for sanity. Msys2 uses the pacman package manager and this is good enough.

All In all, I set up my Windows machine affresh after a while of not using it and it took me about 3 hours. Most of that time was just getting through upgrades though, I felt like it was pretty fast.

1: https://git.sr.ht/~skin/dotfiles

2: https://www.msys2.org/

3: https://www.vagrantup.com/

4: https://www.virtualbox.org/

Tools like Docker and Vagrant can be used to allow local environments to mimic production environments.

There's an open issue [1]. A scripting interface has since been added [2], and updated [3], so there's progress.

[1] https://github.com/hashicorp/vagrant/issues/12518

Someone should fork and maintain Vagrant with an MPL open source license:

https://github.com/hashicorp/vagrant

https://github.com/hashicorp/vagrant/blob/v2.3.7/CHANGELOG.m... ?

The changelog lists both improvements and bug fixes and there's even apparently some effort to port it away from ruby: https://github.com/hashicorp/vagrant/blob/v2.3.7/internal/cl...

If you’ve ever encountered the dreaded “Vagrant fatal error: runtime BSDThread_Register error,” you’re not alone. This perplexing error message can be frustrating and confusing, especially if you’re new to Vagrant and virtualization. But fear not! In this article, we’ll unravel the mystery behind this error, explain its meaning, and provide solutions to help you overcome 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.