deckhouse
kind
deckhouse | kind | |
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9 | 182 | |
1,010 | 12,797 | |
1.6% | 1.0% | |
9.9 | 8.9 | |
2 days ago | 1 day ago | |
Go | Go | |
GNU General Public License v3.0 or later | 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.
deckhouse
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K3s โ Lightweight Kubernetes
And while k3s sounds easy, it's not after even a slightly larger scale.
If one willing to have in-house k8s today I would recommend https://deckhouse.io/ (I'm not affiliated with them)
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What's your preferred tool for on-premise k8s installer?
Deckhouse
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Self-Managed Kubernetes Distributions
Check Deckhouse as well (https://github.com/deckhouse/deckhouse). Cilium integration was added there recently.
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FOSS News International #3: November 15-21, 2021
Release Deckhouse v1.26.0 ยท deckhouse/deckhouse (github.com)
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Which on-prem distribution to use?
Consider Deckhouse as another option that can be installed everywhere: bare metal, private and public clouds. It has an Open Source core offered in Community Edition, but the pricing for Enterprise Edition is also a fit for small companies. All configuration is made via Custom Resources, all routines (like updating Kubernetes versions and related system components) are automated.
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Does anybody need a Kubernetes Operator for auto renewing SSL certificates?
We use cert-manager in our K8s platform for years and it works perfectly. I don't think there is any chance today to compete with it in terms of community adoption. I also can't find any GitHub links for your project which is the most widely accepted way to become trusted by the community โ simply because it covers all the basic needs everyone got used to (in the Open Source world): we can see how the code is developed, we can contribute to it, discuss the issues and concerns we have, etc.
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Log shipper for Loki
We use Vector to ship logs to different storages (including Loki). You can even find the implementation here, however, I am not sure how useful it might be since it's quite specific (Golang hooks for addon-operator). Our manifests are available there as well.
- Deckhouse is a platform for managing Kubernetes clusters in a fully automatic and uniform fashion. It allows you to create homogeneous Kubernetes clusters anywhere and fully manages them. It supplies all necessary addons to provide observability, security, and service mesh.
- Deckhouse: NoOps Kubernetes platform
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 โ 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
What are some alternatives?
kubernetes - Production-Grade Container Scheduling and Management
minikube - Run Kubernetes locally
kubespray - Deploy a Production Ready Kubernetes Cluster
k3d - Little helper to run CNCF's k3s in Docker
k3s-on-prem-production - Playbooks needed to set up an on-premises K3s cluster and securize it
lima - Linux virtual machines, with a focus on running containers
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.
OpenFaaS - OpenFaaS - Serverless Functions Made Simple
colima - Container runtimes on macOS (and Linux) with minimal setup
vector - A high-performance observability data pipeline.
nerdctl - contaiNERD CTL - Docker-compatible CLI for containerd, with support for Compose, Rootless, eStargz, OCIcrypt, IPFS, ...