helm
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helm | Vagrant | |
---|---|---|
203 | 114 | |
25,872 | 25,767 | |
1.2% | 0.5% | |
9.0 | 9.2 | |
6 days ago | 19 days ago | |
Go | Ruby | |
Apache License 2.0 | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
helm
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Building a VoIP Network with Routr on DigitalOcean Kubernetes: Part I
Helm (Get from here https://helm.sh/)
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The 2024 Web Hosting Report
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.
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Deploying a Web Service on a Cloud VPS Using Kubernetes MicroK8s: A Comprehensive Guide
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!
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Deploy Kubernetes in Minutes: Effortless Infrastructure Creation and Application Deployment with Cluster.dev and Helm Charts
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.
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Introduction to Helm: Comparison to its less-scary cousin APT
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.
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🎀 Five tools to make your K8s experience more enjoyable 🎀
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.
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Building a Kubernetes Operator with the Operator Framework
helm: brew install helm
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Kubernetes Made Simple - Introducing Cyclops
Not to go too deep, but Helm is a very popular open-source package manager for Kubernetes. It helps you create configuration files that are needed for applications running in Kubernetes. These charts let Kubernetes know how to handle your application in the cluster.
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10 Ways for Kubernetes Declarative Configuration Management
Helm: The package management tool of Kubernetes resources, which manages the configuration of Kubernetes resources through the configuration template.
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Five tools to add to your K8s cluster
Within the architecture of Cyclops, a central component is the Helm engine, which allows the dynamic generation of configurations. This engine serves as a key mechanism for efficiently managing settings and parameters in the Cyclops framework.
Vagrant
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Software Company HashiCorp Is Weighing a Potential Sale
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
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Ask HN: Cleanest way to manage Windows OS?
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.
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A Developer's Journal: Simplifying the Twelve-Factor App
Tools like Docker and Vagrant can be used to allow local environments to mimic production environments.
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UTM – Virtual Machines for iOS and macOS
There's an open issue [1]. A scripting interface has since been added [2], and updated [3], so there's progress.
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HashiCorp Adopts Business Source License
Someone should fork and maintain Vagrant with an MPL open source license:
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Codespaces but open-source, client-only, and unopinionated
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...
It's a lot older but I would say Vagrant intersects with this space
https://github.com/hashicorp/vagrant
Possibly devenv, as well.. Though I haven't personally tried it
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Best virtualization solution with Ubuntu 22.04
If you want an all around easy to use tool that can manager containers (create on the fly, delete when unnecessary, etc.) look into vagrant. There are also options like xen and virtualbox but they are not so lightweight. All of them are in ubuntu repositories.
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How to set up an Nginx Web Server in Ubuntu Virtual Machine Using Vagrant
Similarly, download and install Vagrant by following the instructions provided on the official Vagrant documentation.
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OrbStack – Docker Desktop and Colima Alternative for macOS
This looks awesome. The state of virtualization on Apple Silicon right now is a bit painful. If this really does provide semi performant x86 Linux emulation and there was a Vagrant Provider plugin then this would easily be the defacto tool for dev / testing VMs on macOS.
https://github.com/hashicorp/vagrant/tree/main/plugins/provi...
Same probably applies to hashicorp Packer.
Every tool I have tried like Parallels and VMWare Fusion 13 Pro says that nested virtualization for windows is not possible. If this is possible with Orb at some point i’d pay for it.
I often want to test a Windows VM with Docker installed into WSL2 and this becomes a nightmare now on Apple Silicon.
Also I wonder what possibility this opens up for an improved toolchain to develop stuff like Asahi Linux by bridging macOS native tooling and Linux emulation to write and test code without rebooting or using two machines.
Amazing work. Why can’t Apple, Vzmware, parallels or someone else do all of this when a single developer can. Sad.
What are some alternatives?
crossplane - The Cloud Native Control Plane
kubespray - Deploy a Production Ready Kubernetes Cluster
Packer - Packer is a tool for creating identical machine images for multiple platforms from a single source configuration.
krew - 📦 Find and install kubectl plugins
skaffold - Easy and Repeatable Kubernetes Development
Ansible - Ansible is a radically simple IT automation platform that makes your applications and systems easier to deploy and maintain. Automate everything from code deployment to network configuration to cloud management, in a language that approaches plain English, using SSH, with no agents to install on remote systems. https://docs.ansible.com.
QEMU - Official QEMU mirror. Please see https://www.qemu.org/contribute/ for how to submit changes to QEMU. Pull Requests are ignored. Please only use release tarballs from the QEMU website.
dapr-demo - Distributed application runtime demo with ASP.NET Core, Apache Kafka and Redis on Kubernetes cluster.
Capistrano - A deployment automation tool built on Ruby, Rake, and SSH.
helmfile - Deploy Kubernetes Helm Charts
keda - KEDA is a Kubernetes-based Event Driven Autoscaling component. It provides event driven scale for any container running in Kubernetes