kubetest2
kind
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| kubetest2 | kind | |
|---|---|---|
| 1 | 99 | |
| 215 | 10,030 | |
| 3.3% | 2.0% | |
| 7.0 | 9.3 | |
| 2 days ago | 10 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.
kubetest2
kind
- Any projects to run Kubernetes inside Kubernetes?
- Usando o Kubernets pela primeira vez
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Is Kubernetes Still Just an Ops Topic?
Local Kubernetes Clusters: It is now possible to run Kubernetes on local machines with tools such as Kubernetes in Docker (kind), minikube or MicroK8s. This allows developers to run their first experiments completely isolated from others and with low risk and low cost.
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Building an Internal Kubernetes Platform
1. Local Clusters: Local clusters are special Kubernetes versions made for running on the engineers’ computers, such as minikube or kind. As such, they are necessarily limited to the locally available computing resources and do not have all Kubernetes features that exist in the “real” Kubernetes running in cloud environments. The local runtime environment further makes it impossible to streamline the setup process, so that it needs to be done by the engineers themselves, which requires some k8s expertise.
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Checklist for Kubernetes-Based Development
Kind
With Kind, users can also create multi-node clusters. For more detailed instructions, check the official site and the user guide.
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Kubernetes Development Environments – A Comparison
Local Kubernetes clusters are clusters that are running on the individual computer of the developer. There are many tools that provide such an environment, such as Minikube, microk8s, k3s, or kind. While they are not all the same, their use as a development environment is quite comparable.
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Local Cluster vs. Remote Cluster for Kubernetes-Based Development
Since the developer is the only one who has to access this cluster for development, local clusters can be a feasible solution for this purpose. Over time, several solutions have emerged that are particularly made for running Kubernetes in local environments. The most important ones are Kubernetes in Docker (kind), MicroK8s, minikube and k3s. For a comparison of these local Kubernetes options, you can look at this post.
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The Journey of Adopting Cloud-Native Development
Another very important distinction of this level is that developers have direct access to Kubernetes for the first time. While it is not strictly necessary, the standard case for the Kubernetes access with these tools is to use a local Kubernetes cluster, i.e. a Kubernetes cluster started with tools such as minikube, kind or MicroK8s on the local computer of the developer.
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Introducing the Loft Terraform Provider
A Kubernetes Cluster: Docker Desktop or KinD are great for running Kubernetes locally)
What are some alternatives?
minikube - Run Kubernetes locally
lima - Linux virtual machines, typically on macOS, for running containerd
k3d - Little helper to run CNCF's k3s in Docker
k3s - Lightweight Kubernetes
nerdctl - contaiNERD CTL - Docker-compatible CLI for containerd, with support for Compose, Rootless, eStargz, OCIcrypt, IPFS, ...
k0s - k0s - The Zero Friction Kubernetes by Team Lens
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.
eks-anywhere - Run Amazon EKS on your own infrastructure 🚀
terraform-provider-proxmox - Terraform provider plugin for proxmox
rancher - Complete container management platform
devspace - DevSpace - The Fastest Developer Tool for Kubernetes ⚡ Automate your deployment workflow with DevSpace and develop software directly inside Kubernetes.
crossplane - Cloud Native Control Planes