rancher VS kind

Did something happen to the Apache 2 rancher? https://github.com/rancher/rancher/blob/v2.7.5/LICENSE RKE2 is similarly Apache 2: https://github.com/rancher/rke2/blob/v1.26.7%2Brke2r1/LICENS...

I follow the 4 ABCD steps bellow, but the first pod deployment never ends. What's wrong in it? Logs and result screens are at the end. Detailed configuration can be found here.

CVE-2023-22651 is rated 9.9/10 : https://github.com/rancher/rancher/security/advisories/GHSA-6m9f-pj6w-w87g

Depends. When I came into my last company I immediately noticed the lack of reproducible environments. Brought this up a few times and was met with some resistance because "we didn't have the capacity"... Until prod went down and it took us 23 hours to bring it back up due to spaghetti terraform.

For the latest releases of rancher: https://github.com/rancher/rancher/releases When is Rancher 2.7.1 going to be released? The Rancher support matrix for 2.7.1 shows k8s v1.24.6 as the highest supported version and Azure will drop AKS v1.24 in a few months... Should this be a concern for us? What could happen if we create our cluster with Rancher for an unsupported K8s version? 1.25 for example. - Rancher 2.7.2 just got released including support for 1.25. I have however tested running unsupported versions before, unless there is major deprecations in the kubernetes API it is fine in my experience. If we move to AKS imported clusters, in case we add node pools, and upgrade the cluster, will those changes be reflected in the Rancher Platform? - Yep! If we face some issues by running an unsupported K8s version on Rancher Launched K8s clusters, is it possible to remove it from Rancher, do the stuff we need, and then import it into the platform? - Yes, however be careful and do testing before doing in prod. From top of mind: Remove cluster from rancher (if imported), if rancher created you might want to revoke ranchers SA key for the cluster first (so it can't remove it). Delete the cattle-system namespace, and any other cattle-* namespaces you don't want to keep. And do your thing. It looks like AKS is faster than Rancher regarding supported Kubernetes versions... We would like to know if Rancher will always be on track with AKS regarding the removal of K8s version support and new versions. - In my experience yes. (Been using rancher on all three clouds for a 4 years now). What are exactly the big differences between imported AKS and Rancher-launched AKS? What should we look at, and what issues can we face when using one or another? - The main difference is that rancher will not be able to upgrade the cluster for you. You will have to do that yourself.

variable "rancher" { type = object({ namespace = string version = string branch = string chart_set = list(object({ name = string value = string })) }) default = { namespace = "cattle-system" # There is a bug with destroying the cloud credentials in version 2.6.9 until 2.7.1 and will be fixed in next release 2.7.2. # See https://github.com/rancher/rancher/issues/39300 version = "2.7.0" branch = "stable" chart_set = [ { name = "replicas" value = 3 }, { name = "ingress.ingressClassName" value = "nginx-external" }, { name = "ingress.tls.source" value = "rancher" }, # There is a bug with the uninstallation of Rancher due to missing priorityClassName of rancher-webhook # The priorityClassName need to be set # See https://github.com/rancher/rancher/issues/40935 { name = "priorityClassName" value = "system-node-critical" } ] } description = "Rancher Helm chart properties." }

When I searched DuckDuckGo instead, the 12th link actually had the real answer. It's in this issue on Rancher's GitHub. Turns out the Rancher admin needs to be in all of the Keycloak groups they want to have show up in the auto-populated picklist in Rancher. Being a Keycloak admin and even creating the groups isn't good enough. Frustratingly, the "caveat" note the Rancher guy is pointing to that says this is only present in the guide to setting up Keycloak for SAML, but apparently this is also true for OIDC.

Explicitly set TLS 1.3 in Rancher, though it could be a bug in Rancher: https://github.com/rancher/rancher/issues/35654

Thanks. Yeah looks like this might work: https://github.com/rancher/rancher/releases/tag/v2.7.2-rc3

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:

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.

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.

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.

Features compared to https://kind.sigs.k8s.io/

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.

Check out KinD

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.

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.

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