kind
colima
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kind | colima | |
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182 | 110 | |
12,638 | 16,369 | |
1.5% | - | |
8.8 | 8.2 | |
7 days ago | 9 days ago | |
Go | Go | |
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.
kind
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How to distribute workloads using Open Cluster Management
To get started, you'll need to install clusteradm and kubectl and start up three Kubernetes clusters. To simplify cluster administration, this article starts up three kind clusters with the following names and purposes:
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15 Options To Build A Kubernetes Playground (with Pros and Cons)
Kind: is a tool for running local Kubernetes clusters using Docker container "nodes." It was primarily designed for testing Kubernetes itself but can also be used for local development or continuous integration.
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Exploring OpenShift with CRC
Fortunately, just as projects like kind and Minikube enable developers to spin up a local Kubernetes environment in no time, CRC, also known as OpenShift Local and a recursive acronym for "CRC - Runs Containers", offers developers a local OpenShift environment by means of a pre-configured VM similar to how Minikube works under the hood.
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K3s Traefik Ingress - configured for your homelab!
I recently purchased a used Lenovo M900 Think Centre (i7 with 32GB RAM) from eBay to expand my mini-homelab, which was just a single Synology DS218+ plugged into my ISP's router (yuck!). Since I've been spending a big chunk of time at work playing around with Kubernetes, I figured that I'd put my skills to the test and run a k3s node on the new server. While I was familiar with k3s before starting this project, I'd never actually run it before, opting for tools like kind (and minikube before that) to run small test clusters for my local development work.
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Mykube - simple cli for single node K8S creatiom
Features compared to https://kind.sigs.k8s.io/
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Hacking in kind (Kubernetes in Docker)
Kind allows you to run a Kubernetes cluster inside Docker. This is incredibly useful for developing Helm charts, Operators, or even just testing out different k8s features in a safe way.
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K3s – Lightweight Kubernetes
If you're just messing around, just use kind (https://kind.sigs.k8s.io) or minikube if you want VMs (https://minikube.sigs.k8s.io). Both work on ARM-based platforms.
You can also use k3s; it's hella easy to get started with and it works great.
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Two approaches to make your APIs more secure
We'll install APIClarity into a Kubernetes cluster to test our API documentation. We're using a Kind cluster for demonstration purposes. Of course, if you have another Kubernetes cluster up and running elsewhere, all steps also work there.
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observing logs from Kubernetes pods without headaches
yes I know there is lens, but it does not allow me to see logs of multiple pods at same time and what is even more important it is not friendly for ephemeral clusters - in my case with help of kind I am recreating whole cluster each time from scratch
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We moved our Cloud operations to a Kubernetes Operator
Unit tests were written against an in-memory Kubernetes API server using the controller-runtime/pkg/envtest library. Envtest allowed us to iterate quickly since we could run tests against a fresh API cluster that started up in around 5 seconds instead of having to spin up a new cluster every time we wanted to run a test suite. Even existing micro-cluster tools like Kind could not get us that level of performance. Since envtest is also not packaged with any controllers, we could also set our test cluster to a specific state and be sure that this state would not be modified unless we explicitly did so in our test code. This allowed us to fully test specific edge-cases without having to worry about control plane-level controllers modifying various objects out from underneath us.
colima
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Lcl.host: fast, easy HTTPS in your local dev environment
If you don't need a GUI, the following combo works pretty well:
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Damn Small Linux 2024
You might look into CoLima as a way to get started.
https://github.com/abiosoft/colima?tab=readme-ov-file
Its user interface is Docker-like, using containers.
For full desktop, I've only used the commercial app "Parallels", which can set up an Ubuntu desktop for you. Also Fedora and Alpine and Debian I believe.
But
> I don't really have any resources to share. I just know how to boot a vmlinuz with an initramfs using QEMU, and decided to download the Linux kernel source code and try compiling it.
I highly recommend working through Linux from Scratch and possibly the Gentoo Handbook. It's a journey.
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Howto: WASM runtimes in Docker / Colima
I could not find any guide how to add WASM container capability to Docker running on Colima. This guide provides a few Colima templates for exactly this, which adds WasmEdge, Wasmtime and Wasmer runtime types.
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RamRamRamEveryoneSleepingOnDocker
Colima runs much faster on Macos: https://github.com/abiosoft/colima
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Podman Desktop v1.5 with Compose onboarding and enhanced Kubernetes pod data
After docker desktop became unusable, I jumped to colima and never looked back. I still use the docker runtime in it (the non-proprietary part) but it also supports containerd. On Mac it's just a "brew install colima" and then "colima start"
I also install the compose and ecr credentials plug-ins (since I use ecr for my container registry.) It has the full functionality of docker desktop minus the UI, which I never used anyways.
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K3s – Lightweight Kubernetes
On my M1 Pro system, I have nothing but positive things to say about the experience of using Colima (https://github.com/abiosoft/colima). Quick to set up and fast to use.
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UTM – Virtual Machines for iOS and macOS
I'd say Lima and Colima should be enough for most use cases:
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Lazydocker
The bash/zsh equivalent wouldn't be too hard, but I use fish.
[0] https://github.com/abiosoft/colima, https://hn.algolia.com/?q=https%3A%2F%2Fgithub.com%2Fabiosof...
[1] https://orbstack.dev [3], https://hn.algolia.com/?q=https%3A%2F%2Forbstack.dev
[2] https://github.com/abiosoft/colima#customizing-the-vm and https://github.com/abiosoft/colima/blob/main/docs/FAQ.md#edi...
[3] I’m on OrbStack now, but it isn’t so much better at how I use Docker than Colima is that I think that it’s an instant buy, especially with the planned subscription model. If I used anything other than the Docker integration, I might think it's better, but as of right now, no.
I also have some issues with its insistence on asking for elevated permissions. I will never grant permission[4] to make a symlink to the "standard" Docker socket; context and `$DOCKER_HOST` work well enough. It should not ask if the permission hasn't been given once. I also worry about other "advanced" features that may need an elevated permissions helper[5].
[4] https://github.com/orbstack/orbstack/issues/281#issuecomment...
[5] https://github.com/orbstack/orbstack/issues/281#issuecomment... and following
- FLaNK Stack Weekly for 17 July 2023
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Lima: A nice way to run Linux VMs on Mac
Also worth checking out is Colima, which uses Lima to give you a linux container environment without needing to install Docker Desktop:
What are some alternatives?
lima - Linux virtual machines, with a focus on running containers
Podman Desktop - Podman Desktop - A graphical tool for developing on containers and Kubernetes
minikube - Run Kubernetes locally
rd - Container Management and Kubernetes on the Desktop
podman - Podman: A tool for managing OCI containers and pods.
multipass - Multipass orchestrates virtual Ubuntu instances
k3d - Little helper to run CNCF's k3s in Docker
docker-machine-for-mac - Docker Machine for Mac - an alternative to Docker for Mac
orbstack - Fast, light, simple Docker containers & Linux machines for macOS
macos-virtualbox - Push-button installer of macOS Catalina, Mojave, and High Sierra guests in Virtualbox on x86 CPUs for Windows, Linux, and macOS