k3os VS kubernetes

I still don't forgive SUSE for buying Rancher and then unceremoniously killing k3os. They just left the website up and everything, made no announcement, made no attempt to help the community take over, just left the Github repo to rot: https://k3os.io/

Hard to have confidence in SUSE's commitment to another open source operating system side project after that. SUSE's announcement at the time:

Like SUSE, Rancher is 100% open source and equally as passionate as SUSE about true open source innovation, community empowerment, and customer success. SUSE and Rancher share the same goal – happy and satisfied customers.

https://www.suse.com/c/suse-acquires-rancher/

k3os is no longer supported by Rancher: https://github.com/rancher/k3os/issues/846 I've been keeping mine up to date with https://github.com/BlueKrypto/k3os

[0] https://docs.k3s.io/installation/ha-embedded [1] https://k3os.io/

I (still) run k3os, but it's dead since SUSE bought rancher. (see https://github.com/rancher/k3os/issues/846)

virt-install --install \ --memory 2048 \ --os-type linux \ --os-variant ubuntu20.04 \ --disk size=20 \ --graphics=none \ --name k3os \ kernel=https://github.com/rancher/k3os/releases/download/v0.21.5-k3s2r1/k3os-vmlinuz-amd64,initrd=https://github.com/rancher/k3os/releases/download/v0.21.5-k3s2r1/k3os-initrd-amd64,kernel_args='k3os.fallback_mode=install k3os.install.iso_url=https://github.com/rancher/k3os/releases/download/v0.21.5-k3s2r1/k3os-amd64.iso k3os.install.silent=true k3os.install.tty=ttyS0 console=ttyS0 k3os.install.device=/dev/vda k3os.password=hunter2'

I'm personally fond of https://k3os.io for my small to medium hobby and professional clusters. It comes with a lot the bells and whistles, but is also pretty minimum and just scales easily.

I really liked K3OS, but I feel like Rancher is no longer supporting it. The last commit on the k3os repo is from April, and before those three commits, November of last year. When Rancher decided to move their HCI offering, Harvester, over to RancherOS V2 being based on cOS toolkit/OpenSuse, I don't have high hopes that K3OS will be maintained.

I run k3os on an old laptop with a broken screen.

Deploying AI models into production requires tools that can package applications and manage them at scale. Docker simplifies the deployment of AI applications by containerizing them, ensuring that the application runs smoothly in any environment. Kubernetes, an orchestration system for Docker containers, allows for the automated deployment, scaling, and management of containerized applications, essential for AI applications that need to scale across multiple servers or cloud environments.

To learn more, you can start by exploring the official Kubernetes documentation.

With the containerized Node.js/Express API, I could run multiple containers, scaling to handle more traffic. Using a tool called minikube, we can easily spin up a local Kubernetes cluster to horizontally scale Docker containers. It was possible to keep one shared instance of the database, and many APIs were routed with an internal Kubernetes load balancer.

This package is widely used for powerful CLI builds, it is used for example for Kubernetes CLI and GitHub CLI, in addition to offering some cool features such as automatic completion of shell, automatic recognition of flags (the tags) , and you can use -h or -help for example, among other facilities.

We closely monitor Kubernetes and cloud providers' updates by following official changelogsand using RSS feeds, allowing us to anticipate potential issues and adapt our infrastructure proactively.

"You are holding it wrong", huh?

From the homepage https://kubernetes.io/:

"Kubernetes, also known as K8s, is an open-source system for automating deployment, scaling, and management of containerized applications."

Do you see "not recommended for smaller-scale applications" anywhere? Including on the entire home page? Looking for "small", "big" and "large" also yields nothing.

Open Source and Cloud Computing: A Match Made in Heaven The cloud is accelerating OSS adoption. Cloud-native technologies like Kubernetes [https://kubernetes.io/] and Istio [https://istio.io/], both open-source projects, are revolutionizing how applications are built and deployed across cloud platforms.

If you do kubectl explain deployment than (surprise!) you'll get a description for extensions/v1beta1. Because kubectl explain works the same way, just like kubectl get:

Through the Fast Forward program, we give free services and support to open source projects and the nonprofits that support them. We support many of the world’s top programming languages (like Python, Rust, Ruby, and the wonderful Scratch), foundational technologies (cURL, the Linux kernel, Kubernetes, OpenStreetMap), and projects that make the internet better and more fun for everyone (Inkscape, Mastodon, Electronic Frontier Foundation, Terms of Service; Didn’t Read).

In this project, you will understand and get hands on experience around the entire concept around CI/CD from applications perspective. To fully gain real expertise around this idea, it is best to see it in action across different programming languages and from the platform perspective too. From the application perspective, we will be focusing on PHP here; there are more projects ahead that are based on Java, Node.js, .Net and Python. By the time you start working on Terraform, Docker and Kubernetes projects, you will get to see the platform perspective of CI/CD in action.