kind
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kind | vcluster | |
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182 | 70 | |
12,750 | 5,511 | |
1.4% | 10.9% | |
8.8 | 9.7 | |
7 days ago | 6 days ago | |
Go | 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.
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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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.
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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
vcluster
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Amazon EC2 Enhances Defense in Depth with Default IMDSv2
Kubernetes? You mean the container orchestration system where they forgot to add Multi-tenancy? And no namespaces are not Multi-tenancy...
https://www.vcluster.com/
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Mirantis Unveils K0smotron: An Open-Source Kubernetes Management Project
Whats the difference between this and vcluster (https://github.com/loft-sh/vcluster)?
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Codespaces but open-source, client-only, and unopinionated
Yep, as we see it they compliment each other quite well. DevPod takes your workspace to the cloud and DevSpace let's you develop against your Kubernetes cluster - potentially the same one you used to start your workspace.
Internally we use both in our development setup, spinning up remote workspaces using DevPod, installing DevSpace and kind into the devcontainer, then using DevSpace to develop against the cluster. See the vcluster setup[1] as an example
[1]https://github.com/loft-sh/vcluster/tree/main/.devcontainer
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Anyone using Kata Containers?
The tenants are internal dev teams so yeah maybe not. I was considering multi-tenanting different environments isolated at the kube layer with vCluster and have the vCluster pods running in Kata containers giving maximum isolation but still having a single management cluster. Ideally also avoiding the need to buy a second set of hardware for a dev environment
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Multi-tenancy in Kubernetes
Vcluster
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Kub'rin' a breeze: Developing on ephemeral cloud-based K8s clusters
Looks interesting. How does this solution compare to vcluster?
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Same cluster for different development environments
sounds like the best option for you , is a tool called VCluster by loft ( https://www.vcluster.com/) , this way you can install as many k8s cluster as you want in the same k8s host cluster , those cluster share workers nodes and networking, but each has a separated "api server" , so it looks like you have a dedicated cluster with their own namespaces and tools . take a look at the docs to get a better understanding and how they work.
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Is it a good idea to use k8s namespace-based multitenancy for delivering managed service of an application?
We're about to run a PoC with vcluster for isolated sandboxes, this might be relevant to you too
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Questions for Heroku-like Project
I think namespaces, RBAC and network policies are sufficient to partition users from the same organisation. I would investigate the use of vcluster ig you want to give your users even more isolation and capability (such as installing CRDs)
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Multiple Tenancy, Namespaces, Securing Workloads
Depends on the use case. Namespaces provides soft isolation (so it means they share same Apiserver, PV's and global resources such as CRD's), but can be restricted with network policies. So it means, there's still potential in breaking other namespaces if you change PV's or CRD's which are used by other namespaces. Multi-Cluster solution can provide full isolation, but its also really expensive in resource consumption and maintenance/management effort. If namespaced-isolation isnt enough for your use case, you can consider vclusters (https://www.vcluster.com/)
What are some alternatives?
minikube - Run Kubernetes locally
capsule - Multi-tenancy and policy-based framework for Kubernetes.
k3d - Little helper to run CNCF's k3s in Docker
kiosk - kiosk 🏢 Multi-Tenancy Extension For Kubernetes - Secure Cluster Sharing & Self-Service Namespace Provisioning
lima - Linux virtual machines, with a focus on running containers
cluster-api-provider-nested - Cluster API Provider for Nested Clusters
colima - Container runtimes on macOS (and Linux) with minimal setup
hierarchical-namespaces - Home of the Hierarchical Namespace Controller (HNC). Adds hierarchical policies and delegated creation to Kubernetes namespaces for improved in-cluster multitenancy.
nerdctl - contaiNERD CTL - Docker-compatible CLI for containerd, with support for Compose, Rootless, eStargz, OCIcrypt, IPFS, ...
k3s - Lightweight Kubernetes
kubeplus - Kubernetes Operator to create Multi-Instance Multi-tenancy (SaaS) from Helm charts