demos
kind
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demos
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Simplifying Kubernetes Cluster Management with Claudie and Sveltos
can be found here.
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Collect logs and Kubernetes resources when Pod is in crashloopbackoff state
The ConfigMap referenced by EventBasedAddOn instance contains all resources that will be deployed in each cluster where a Pod in crashing state is found. In this case:
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Send Slack Notification when Pod is in crashloopbackoff state
All YAMLs used in this example can be found here
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Multi-tenancy with ProjectSveltos
![Sveltos addons management](https://github.com/projectsveltos/demos/raw/main/addons/sveltos_addons.gif)
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Projectsveltos: Manage Kubernetes addons in multiple clusters
https://github.com/projectsveltos/sveltosctl#display-outcome...
But I was still not happy. Main reason, users still had to go and manage cluster labels. I wanted clusters' labels to change as cluster runtime state was changing. So I can express my intent and then forget about it.
So I introduced a second concept in Sveltos. Classifier CRD (https://github.com/projectsveltos/demos/blob/main/classifier...) which allows users to classify clusters based on cluster runtime state (currently kubernetes version and/or resources deployed, but I am working on adding more).
Doing so I can easily now say:
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Upgrading Kubernetes addons automatically as cluster runtime state changes
1) I wanted a controller running in the management cluster, so I can express my intent and as clusters come and go or change their runtime state, controller can make sure my intent is applied. For instance, combing Classifier and ClusterProfile I can say things like, in any cluster running kubernetes version v1.24.x install calico v3.23 and in any cluster running kubernetes version v1.25.x install calico v3.24. as clusters are created/upgraded, sveltos makes sure my intent is deployed (https://github.com/projectsveltos/demos/blob/main/classifier/classifier.gif)
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Deploy Kubernetes add ons in ClusterAPI powered cluster
So a second concept was introduced in Sveltos: Classifier CRD (https://github.com/projectsveltos/demos/blob/main/classifier/classifier.gif) which allows users to classify clusters based on cluster runtime state (currently Kubernetes version and/or resources deployed, but I am working on adding more).
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?
addon-controller - Sveltos Kubernetes add-on controller programmatically deploys add-ons and applications in tens of clusters. Support for ClusterAPI powered clusters, Helm charts, kustomize ,YAMLs. Sveltos has built-in support for multi-tenancy.
minikube - Run Kubernetes locally
sveltos-manager - Sveltos is tool for managing Kubernetes add-ons in tens of clusters. Support for ClusterAPI powered clusters and helm charts. Sveltos has built-in support for multi-tenancy. [Moved to: https://github.com/projectsveltos/addon-manager]
k3d - Little helper to run CNCF's k3s in Docker
sveltos-agent - Classify cluster and report back to management cluster. Evaluates cluster health based on custom health checks. Watches for events and reports those to management cluster.
lima - Linux virtual machines, with a focus on running containers
k8s_collector - A Kubernetes Job to collect resources, logs and events
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.
classifier - Sveltos Classifier dynamically classify a cluster based on run time information (Kubernetes version, deployed resources and more)
colima - Container runtimes on macOS (and Linux) with minimal setup
cluster-api - Home for Cluster API, a subproject of sig-cluster-lifecycle
nerdctl - contaiNERD CTL - Docker-compatible CLI for containerd, with support for Compose, Rootless, eStargz, OCIcrypt, IPFS, ...