kitematic
kind
kitematic | kind | |
---|---|---|
4 | 183 | |
12,252 | 12,818 | |
- | 1.2% | |
1.8 | 8.9 | |
almost 3 years ago | 12 days ago | |
JavaScript | Go | |
Apache License 2.0 | Apache License 2.0 |
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.
kitematic
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Windows Subsystem For Linux a.k.a. WSL 1.0.0 released
Yeah, You need Hyper-V to run basic Docker configuration on Windows, I just simplified this too much I guess.
The end result is that if you run Docker on Windows with Hyper-V alone it's using Window filesystem and then "translating" this for Docker therefore making the whole process of accessing the files incredibly slow.
I used to work with docker using Docker Kinematic (https://github.com/docker/kitematic) in the past, which basically was a Virtual box with Docker installed inside this VM, and since the VM was some kind of Linux, it worked reasonably well.
The same seems to be the case when using WSL2 - you run VM and Docker inside this VM, removing the file sync/translation part out of the equation, resulting in speed boots.
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Newbie - 28yo deciding to change careers.
Auttomatic Open Source Docker Open source Those are two i can think of that use those technologies, read the “contribution” part on github. If you search “open source projects” and the technologies you know, you’ll find even more. :)
- Docker for Mac Without Docker Desktop
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What am I missing out by not using Docker?
Kitematic runs on Linux: https://github.com/docker/kitematic/releases, and so does Dockstation: https://dockstation.io
kind
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Take a look at traefik, even if you don't use containers
Have you tried https://kind.sigs.k8s.io/? If so, how does it compare to k3s for testing?
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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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Choosing the Next Step: Docker Swarm or Kubernetes After Mastering Docker?
Check out KinD
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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.
What are some alternatives?
cdxgen - Creates CycloneDX Bill of Materials (BOM) for your projects from source and container images. Supports many languages and package managers. Integrate in your CI/CD pipeline with automatic submission to Dependency Track server. Slack: https://cyclonedx.slack.com/archives/C04NFFE1962
minikube - Run Kubernetes locally
colima - Container runtimes on macOS (and Linux) with minimal setup
k3d - Little helper to run CNCF's k3s in Docker
Hekate-Toolbox - A toolbox for Hekate
lima - Linux virtual machines, with a focus on running containers
podman - Podman: A tool for managing OCI containers and pods.
vcluster - vCluster - Create fully functional virtual Kubernetes clusters - Each vcluster runs inside a namespace of the underlying k8s cluster. It's cheaper than creating separate full-blown clusters and it offers better multi-tenancy and isolation than regular namespaces.
wp-calypso - The JavaScript and API powered WordPress.com
github-actions-multiarch-docker-image-build - An example Github Actions configuration to build a Docker image for multiple architectures.
nerdctl - contaiNERD CTL - Docker-compatible CLI for containerd, with support for Compose, Rootless, eStargz, OCIcrypt, IPFS, ...