ocm
kind
ocm | kind | |
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10 | 182 | |
694 | 12,797 | |
1.0% | 1.0% | |
9.2 | 8.9 | |
4 days ago | 2 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.
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ocm
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How to distribute workloads using Open Cluster Management
Open Cluster Management (OCM) was accepted to the Cloud Native Computing Foundation (CNCF) in late 2021 and is currently at the Sandbox project maturity level. OCM is a community-driven project focused on multicluster and multicloud scenarios for Kubernetes applications. This article shows how to bootstrap Open Cluster Management and handle work distribution using ManifestWork. We also discuss several ways to select clusters for various tasks using the ManagedClusterSet and Placement resources.
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Vendor-agnostic reconfiguration of Kubernetes clusters in cloud federations
It seems that open-cluster-management.io is a great tool for enforcing configurations and policies in a vendor-agnostic manner. When looking at all possible modifications supported by it, this tool does not yet use Daemonsets for customizing the core Kubernetes framework itself to the needs of the applications deployed on it.
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What do you guys use to manage/monitor multiple clusters?
You can use https://open-cluster-management.io/ With the multi cluster observability https://github.com/stolostron/multicluster-observability-operator This would be perfect for multi-cluster monitoring
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Useful Tools for OpenShift development
There's a number of options here. Like the other commenter mentioned, RHACM is a great choice if you already have an OCP cluster - ie a tools cluster, multi-cluster deployments, etc. It is paid, but there is a 60 day free trial. Also, like other RH products, it is based on an OSS upstream project, in this case Open Cluster Management.
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Over a fifty K8s clusters?
Someone already said ClusterAPI. It is great to build the clusters and manage their lifecycle. To manage very thing until the cluster is retired check out https://open-cluster-management.io.
- How do you do Multi-Cluster management with ~100 Cluster in one Google Organisation
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automating initial configuration of cluster
It is "publicly" available in that all of the code is there so that you can build and use it. Some of that is pre-build via the Open Cluster Management project, but some is not.
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Microshift/openshift compatibility
Open Cluster Management (the backbone of Advanced Cluster Management) might help you deploy applications and such to multiple clusters!
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Within the Kubernetes Universe, are there tools that do some form of Fleet Management of Edge Devices?
There is this: https://github.com/open-cluster-management-io/OCM, which is the upstream project for Red Hat Advanced Cluster Management for Kubernetes
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
What are some alternatives?
gardener - Kubernetes-native system managing the full lifecycle of conformant Kubernetes clusters as a service on Alicloud, AWS, Azure, GCP, OpenStack, vSphere, KubeVirt, Hetzner, EquinixMetal, MetalStack, and OnMetal with minimal TCO.
minikube - Run Kubernetes locally
lens - Lens - The way the world runs Kubernetes
k3d - Little helper to run CNCF's k3s in Docker
aa2020-post-install-operator - Post Install Operator structure demo for Ansible Automates 2020
lima - Linux virtual machines, with a focus on running containers
helm-charts - Helm charts for VictoriaMetrics, VictoriaLogs and ecosystem
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.
multicluster-observability-operator - Operator for Multi-Cluster Monitoring with Thanos.
colima - Container runtimes on macOS (and Linux) with minimal setup
nerdctl - contaiNERD CTL - Docker-compatible CLI for containerd, with support for Compose, Rootless, eStargz, OCIcrypt, IPFS, ...
k3s - Lightweight Kubernetes