![]() ![]() So I will be using the streamline syntax for the examples in this post. This project is a natural continuation of my earlier work on streamline.js. Here I want to focus on API design issues and explain why I took this route. You should probably glance through it before reading this post to get a feel for the API. The README gives an overview of the API and I don’t want to repeat it here. The ez-streams project is now starting to take shape and I’ve just published a first version to NPM. Compatibility with steams2 was crucial but it was just too hard to get where I wanted to go by building directly on top of it. I had been keeping an eye on streams2, the streaming API that got introduced in node 0.10.0, but I have not been convinced: too complex, people seem to be struggling with it, exception handling has problems, etc. So, I decided to fix it and a new project was born: ez-streams. You get the job done with loops but you lack the elegance of functional chaining. The simple streams API that we have been using in our product works really well but I was getting a bit frustrated with it: too low level! Working with this simple read/write API felt a bit like working with arrays without the ES5 functional goodies ( forEach, filter, map, reduce, etc.). After ES6 generators and Galaxy I went back to one of my pet topics: streams. Openssl dgst -sha256 -hex | sed 's/^.JavaScript is a great playground for experimentation. $ openssl x509 -pubkey -in /etc/kubernetes/pki/ca.crt | openssl rsa -pubin -outform der 2>/dev/null | \ Run this command and use its output as the value: Lkoz6v.cw1e01ckz2yqvw4u 23h authentication,signing TOKEN TTL EXPIRES USAGES DESCRIPTION EXTRA GROUPS The token value will be shown in the TOKEN column. ![]() Run kubeadm token list on the control plane node. You can retrieve them using the following steps. The values of and will have been displayed when you ran kubeadm init to create your control plane. Replace the IP address with that of your control plane node. Next run the following command on your new worker node: This populates all the available config fields and sorts out some issues, such as CRI support being disabled on fresh installs. $ sudo containerd config default > /etc/containerd/config.toml First replace the file's content with containerd's default configuration: Loaded: loaded (/lib/systemd/system/rvice enabled vendor preset: enabled)Īctive: active (running) since Tue 16:50:12 BST 6s agoĪ few tweaks to the containerd config file are required to get it working properly with Kubernetes. Update your package list to include the contents of the Docker repository:Ĭheck the containerd service has started up:Ĭrvice - containerd container runtime $(lsb_release -cs) stable" | sudo tee /etc/apt//docker.list > /dev/null Now you can add the correct repository for your system by running this command: $ curl -fsSL | sudo gpg -dearmor -o /etc/apt/keyrings/docker.gpg Next add the repository's GPG key to Apt's keyrings directory: First add some dependencies that'll be used during the installation procedure: You can install containerd using Docker's Apt repository. It's the runtime included with modern Docker releases. The standard Kubernetes distribution doesn't come with a runtime so you should install one before you continue. Kubernetes needs a CRI-compatible container runtime to start and run your containers. These steps have been tested using Ubuntu 22.04 and Kubernetes v1.25. A Debian-based system is assumed but you can adjust most of the commands to match your operating system's package manager. This is a "from scratch" guide which should work on a freshly provisioned host. This article will walk you through setting up a simple Kubernetes cluster using the default configuration. ![]()
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