cri-dockerd VS kind

$ wget https://github.com/Mirantis/cri-dockerd/releases/download/v0.3.9/cri-dockerd-0.3.9.amd64.tgz $ tar zxvf cri-dockerd-0.3.9.amd64.tgz $ cd cri-dockerd $ sudo mkdir -p /usr/local/bin $ sudo install -o root -g root -m 0755 cri-dockerd/usr/local/bin/cri-dockerd $ mkdir foo; cd foo $ git clone [email protected]:Mirantis/cri-dockerd.git $ cd cri-dockerd $ sudo install packaging/systemd/* /etc/systemd/system $ sudo sed -i -e 's,/usr/bin/cri-dockerd,/usr/local/bin/cri-dockerd,' /etc/systemd/system/cri-docker.service $ sudo systemctl daemon-reload $ sudo systemctl enable --now cri-docker.socket

I installed cri-dockerd using this documentation https://github.com/Mirantis/cri-dockerd

99% of what you just said is completely incorrect. containerd is not a facade for Docker, in fact the Docker engine is a facade for containerd. The OCI spec is also not a facade for Docker, Docker is simply one application which can create OCI compliant images which can be executed by runtimes like runc. Kubernetes has zero facades for Docker, unless you count the optional open-source cri-dockerd.

https://kubernetes.io/docs/setup/production-environment/tools/kubeadm/create-cluster-kubeadm/ Adjust netplan for static IP Adding br_netfilter and overlay to kernel Creating /etc/modules-load.d/k8s.conf with bridging and forwarding https://kubernetes.io/docs/setup/production-environment/container-runtimes/#forwarding-ipv4-and-letting-iptables-see-bridged-traffic Installing docker components https://kubernetes.io/docs/setup/production-environment/container-runtimes/#docker Installing cri-dockerd https://github.com/Mirantis/cri-dockerd Disabling swap https://graspingtech.com/disable-swap-ubuntu/ install kubeadm kubectl kubelet https://kubernetes.io/docs/setup/production-environment/tools/kubeadm/install-kubeadm/

Im trying to learn how to set up kubernetes cluster with kubeadm. Im using official kubernetes documentation ( maybe there is a better source?). My goal is to set it up with cri-dockerd and systemd. And to be honest its quite hard task to do it. Informations are scattered arround with links and sometimes its hard to know the order which steps should be executed. I have 2 Virtualbox machines, connected together with NAT network. A master and worker node. I performed these steps on both of them: https://kubernetes.io/docs/setup/production-environment/tools/kubeadm/create-cluster-kubeadm/ Adjust netplan for static IP Adding br_netfilter and overlay to kernel Creating /etc/modules-load.d/k8s.conf with bridging and forwarding https://kubernetes.io/docs/setup/production-environment/container-runtimes/#forwarding-ipv4-and-letting-iptables-see-bridged-traffic Installing docker components https://kubernetes.io/docs/setup/production-environment/container-runtimes/#docker Installing cri-dockerd https://github.com/Mirantis/cri-dockerd Disabling swap install kubeadm kubectl kubelet https://kubernetes.io/docs/setup/production-environment/tools/kubeadm/install-kubeadm/ configure kubelet cgroup driver https://kubernetes.io/docs/tasks/administer-cluster/kubeadm/configure-cgroup-driver/ So currently im at the configuring cgroup driver. I tried to execute kubeadm init kubeadm-config.yaml but kubeadm found 2 CRI endpoints. So i tried to point the correct one with this command kubeadm join --cri-socket /var/run/cri-dockerd.sock but i got discover:Invalid value: ::: bootstrapToken or file must be set And now im completely lost. And also im confused is this a moment for installing CNI (probably i will try with Calico) for pod communication or should i start the cluster first?

But not to worry, you can still use Docker as a container runtime in Kubernetes using the cri-dockerd adapter. cri-dockerd provides a shim for Docker Engine that lets you control Docker via the Kubernetes CRI. ****

As of version 1.24, either one of the other supported runtimes (e.g. containerd or CRI-O) or, in case you still want to rely on Docker Engine, cri-dockerd must be used. Further information on precautions that may be necessary due to the removal of Dockershim is provided by Kubernetes in a guide.

Kubernetes requires a tool which implements the Container Runtime Interface, a standardized API for starting & managing containers. This is from 2015-2016[1].

For a while Kubernetes has included something called the "dockershim", it's own implementation of a CRI interface that, under the hood, calls Docker or Podman. There's also tools like kind[2] ("kubernetes in docker") that go further- not just hosting Kubernetes worker containers in Docker, but hosting the main kubernetes daemons also in Docker.

Kubernetes deprecated Dockershim, formally in December 2020, but is just throwing the switch now in the upcoming 1.24, expected mid-April[3]. A company Mirantis has pledged to take over support of Dockershim[4], and is calling the new effort "cri-dockerd"[5]. This should allow Kubernetes workers to continue to run via Docker or Podman.

Kind is unaffected, since it runs the main Kubernetes controllers in Docker, which then launch their own opencontainerd (one off the main CRI implementations) inside that Docker container, nested like, so no dockership/cri-dockerd is needed).

[1] https://kubernetes.io/blog/2016/12/container-runtime-interfa...

[2] https://kind.sigs.k8s.io/

[3] https://kubernetes.io/blog/2022/01/07/kubernetes-is-moving-o...

[4] https://www.mirantis.com/blog/mirantis-to-take-over-support-...

[5] https://github.com/Mirantis/cri-dockerd

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