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k3s-io/k3s

📈 Trending33,035GoAudience · ops devopsComplexity · 3/5ActiveLicenseSetup · moderate

TLDR

Lightweight Kubernetes distribution that runs on a single binary under 100 MB, perfect for edge devices, Raspberry Pi, and development environments where full Kubernetes is too heavy.

Mindmap

mindmap
  root((K3s))
    What it does
      Single binary Kubernetes
      Runs on small hardware
      Full API compatibility
      Official conformance tests
    Key components
      containerd runtime
      Flannel networking
      CoreDNS
      Traefik ingress
    Installation
      Single curl command
      Seconds to start
      Worker node join
    Use cases
      Edge devices
      Home labs
      CI pipelines
      Development laptops
    Tech stack
      Go language
      SQLite default
      Optional etcd
      CNCF project

Things people build with this

USE CASE 1

Deploy Kubernetes on Raspberry Pi or ARM devices for home lab clusters.

USE CASE 2

Run a full Kubernetes cluster in CI/CD pipelines for testing containerized applications.

USE CASE 3

Set up edge computing nodes in remote locations with minimal resource overhead.

USE CASE 4

Develop and test Kubernetes workloads locally on a laptop without heavy VM overhead.

Tech stack

GocontainerdFlannelCoreDNSTraefikSQLite

Getting it running

Difficulty · moderate Time to first run · 30min

Requires downloading the binary and understanding basic Kubernetes concepts; networking setup (Flannel) needs verification on first run.

Use freely for any purpose, including commercial use, as long as you keep the copyright notice and license text.

In plain English

K3s is a lightweight distribution of Kubernetes, a system for running and managing containerized applications across a cluster of servers. Standard Kubernetes is powerful but complex to install and resource-hungry, which makes it impractical on small machines, edge devices (computers deployed in remote locations), Raspberry Pi-style ARM hardware, or CI (automated testing) environments where you want a real cluster without the overhead. K3s solves this by packaging everything needed for a working Kubernetes cluster into a single binary under 100 MB that uses roughly half the memory of full Kubernetes. It is not a fork, it implements the same Kubernetes API fully and passes official conformance tests, meaning anything that runs on regular Kubernetes runs on K3s unchanged. The main differences are that K3s bundles its own container runtime (containerd), networking (Flannel), DNS (CoreDNS), load balancer, ingress (Traefik), and storage provisioner into one distribution, and it defaults to SQLite instead of etcd for storing cluster state (though etcd, MySQL, MariaDB, and Postgres are also supported). It also packs all components into a single process, which dramatically reduces memory overhead compared to running each piece separately. Installation is a single curl command that downloads the binary, sets up the system service, and starts the cluster in seconds. Worker nodes join by pointing at the server node's address with a token. You would choose K3s when you need genuine Kubernetes behavior, not a simplified emulator, on hardware or environments where full Kubernetes is too heavy: IoT devices, home lab servers, edge computing locations, development laptops, or automated test pipelines where you want a fresh cluster spun up quickly. It is written in Go and is an official CNCF (Cloud Native Computing Foundation) project.

Copy-paste prompts

Prompt 1
How do I install K3s on a Raspberry Pi and add worker nodes to the cluster?
Prompt 2
Show me how to deploy a containerized application to K3s using kubectl.
Prompt 3
What are the differences between K3s and full Kubernetes, and when should I use K3s?
Prompt 4
How do I configure K3s to use PostgreSQL instead of SQLite for cluster state storage?
Prompt 5
Can I run K3s in a Docker container for local development and testing?
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