K3s on Support Tools

How to Configure Network Interfaces in K3s Using NMState and Multus CNI

Sat, 01 Mar 2025 00:00:00 -0500

Managing network interfaces in Kubernetes can be challenging, especially when dealing with multiple networks or complex configurations. This comprehensive guide demonstrates how to use the NMState Operator and Multus CNI in K3s to implement advanced networking configurations, create network bridges, and manage multiple network interfaces effectively.

Deploying Nvidia GPU Workloads with k3s: A Comprehensive Guide

Wed, 15 Jan 2025 00:00:00 -0500

In today’s fast-paced technological landscape, leveraging GPUs for high-performance computing is more crucial than ever. This guide walks you through deploying Nvidia GPU workloads using k3s, a lightweight Kubernetes distribution ideal for edge and IoT devices.

How to Install Nvidia GPU Drivers on K3s

Tue, 15 Oct 2024 10:00:00 -0500

How to Install Nvidia GPU Drivers on K3s

If you’re running a K3s cluster and need to leverage Nvidia GPUs for AI or machine learning workloads, this guide will walk you through the installation and configuration process of Nvidia drivers for your Kubernetes environment.

Tailing logs across multiple pods at the same time using Stern

Mon, 12 Jun 2023 19:26:00 -0500

Understanding the status of pods and services in Kubernetes can often be a complex task. The built-in logging capability can help, but there are also additional tools to make this process easier. One is Stern, a log-tailing utility designed explicitly for Kubernetes.

Stern allows you to tail logs from multiple pods in real time, applying color coding to make it easier to distinguish between different pods. Stern supports regular expressions, which can be particularly useful when narrowing your logs down to specific pods or containers.

Using k3sups to build a cluster

Thu, 14 Jul 2022 22:57:00 -0500

For engineers, Kubernetes Installation can be a challenge since there is a huge selection of Kubernetes distributions and tools to set them up, making choosing the best one for your use case difficult. Getting started with a Kubernetes cluster requires different configuration challenges and utilities. We will discuss K3s, a very powerful lightweight Kubernetes distribution that you can install in a matter of minutes.

The K3s binary is designed to be a single binary of less than 40 MB that implements the Kubernetes API. It’s like software without excess drivers.

K3s offer the following features:

It can be run over a starting RAM of 512MB .
For edge devices, K3s is a highly available, certified Kubernetes distribution.
Even a Raspberry Pi can be used with great success.
Instead of etcd, SQLite is used as the storage backend, and Containerd is used as the default container runtime (not Docker).
With utilities like k3sup and k3d, you can easily install K3S. This post will show you how to install k3s using k3sup (ketchup), which is a lightweight utility to quickly and easily set up Kubeconfig with k3s on the local or remote machine.

Setting up Nvidia drivers for k3s

Tue, 05 Jul 2022 03:24:00 -0500

Rather than telling you how great Kubernetes is, this article aims to show you how to enhance it for workloads requiring GPUs so you can get the most out of it. A few steps need to be followed if you wish to run Kubernetes Pods on K3S that use NVIDIA GPUs for CUDA workloads, and this process is straightforward. Despite this, it has come to my attention that there doesn’t appear to be any set of instructions clearly showing the steps to follow, which components are needed, how to enable them, etc. As a result, I have decided to write this short article that outlines the necessary steps to be taken.

K3s

Mon, 01 Jan 0001 00:00:00 +0000

Learn how to deploy, manage, and operate K3s lightweight Kubernetes clusters. Explore our training resources, tutorials, and guides, including: