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  5. K9s vs k3s

K9s vs k3s

OverviewComparisonAlternatives

Overview

K9s
K9s
Stacks75
Followers103
Votes2
GitHub Stars31.7K
Forks2.0K
k3s
k3s
Stacks97
Followers252
Votes16

K9s vs k3s: What are the differences?

Key Differences between K9s and k3s

Introduction

K9s and k3s are two popular tools in the Kubernetes ecosystem that offer different functionalities and features. Understanding their key differences can help in deciding which tool is suitable for specific use cases.

  1. Architecture: K9s is a command-line interface (CLI) tool written in Golang that provides a terminal-based graphical user interface (GUI) for interacting with Kubernetes clusters. On the other hand, k3s is a lightweight Kubernetes distribution designed for resource-constrained environments such as edge computing, Internet of Things (IoT) devices, and development environments.

  2. Installation and Deployment: K9s can be easily installed on any system with a binary download and does not require much configuration. In contrast, k3s is a single-binary Kubernetes distribution that can either be installed directly on a host or using containerization technologies like Docker.

  3. Resource Requirements: K9s requires a Kubernetes cluster to be up and running, and it interacts with the cluster's API server to fetch and display information. On the other hand, k3s is optimized for resource constraints and can even run on low-powered devices with as little as 512MB of RAM.

  4. Feature Set and Extensibility: K9s provides a feature-rich interface with comprehensive functionalities for managing Kubernetes resources, accessing logs, and interacting with pods. It also supports custom plugins for extensibility. Conversely, k3s focuses on minimizing the Kubernetes footprint and only includes essential components, omitting features such as support for Network Policy or Third-Party Addons.

  5. Performance and Scalability: K9s is designed for providing a user-friendly interface, which may introduce some overhead and can impact performance when dealing with large clusters or complex operations. Conversely, k3s aims to reduce resource consumption and improve scalability, making it an efficient choice for resource-limited environments.

  6. Community and Support: K9s has a large and active community with frequent updates, bug fixes, and user support available through various channels such as GitHub, Slack, and forums. On the other hand, while k3s also has an active community, its focus on simplicity and lightweight deployments may result in relatively fewer third-party integrations and community resources compared to K9s.

In summary, K9s and k3s differ in their architecture, installation, resource requirements, feature set, performance, and community support. The choice between the two depends on the specific use case, system requirements, and individual preferences.

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Detailed Comparison

K9s
K9s
k3s
k3s

K9s provides a curses based terminal UI to interact with your Kubernetes clusters. The aim of this project is to make it easier to navigate, observe and manage your applications in the wild. K9s continually watches Kubernetes for changes and offers subsequent commands to interact with observed resources.

Certified Kubernetes distribution designed for production workloads in unattended, resource-constrained, remote locations or inside IoT appliances. Supports something as small as a Raspberry Pi or as large as an AWS a1.4xlarge 32GiB server.

-
ARM64 and ARMv7 support; Simplified installation; SQLite3 support; etcd support; Automatic Manifest and Helm Chart management; containerd, CoreDNS, Flannel support
Statistics
GitHub Stars
31.7K
GitHub Stars
-
GitHub Forks
2.0K
GitHub Forks
-
Stacks
75
Stacks
97
Followers
103
Followers
252
Votes
2
Votes
16
Pros & Cons
Pros
  • 2
    Nice UI and fast way to manage my kubernetes clusters
Pros
  • 6
    Lightweight
  • 4
    Easy
  • 2
    Scale Services
  • 2
    Open Source
  • 2
    Replication Controller
Integrations
Kubernetes
Kubernetes
Kubernetes
Kubernetes
SQLite
SQLite

What are some alternatives to K9s, k3s?

Kubernetes

Kubernetes

Kubernetes is an open source orchestration system for Docker containers. It handles scheduling onto nodes in a compute cluster and actively manages workloads to ensure that their state matches the users declared intentions.

Rancher

Rancher

Rancher is an open source container management platform that includes full distributions of Kubernetes, Apache Mesos and Docker Swarm, and makes it simple to operate container clusters on any cloud or infrastructure platform.

Docker Compose

Docker Compose

With Compose, you define a multi-container application in a single file, then spin your application up in a single command which does everything that needs to be done to get it running.

Docker Swarm

Docker Swarm

Swarm serves the standard Docker API, so any tool which already communicates with a Docker daemon can use Swarm to transparently scale to multiple hosts: Dokku, Compose, Krane, Deis, DockerUI, Shipyard, Drone, Jenkins... and, of course, the Docker client itself.

Tutum

Tutum

Tutum lets developers easily manage and run lightweight, portable, self-sufficient containers from any application. AWS-like control, Heroku-like ease. The same container that a developer builds and tests on a laptop can run at scale in Tutum.

Portainer

Portainer

It is a universal container management tool. It works with Kubernetes, Docker, Docker Swarm and Azure ACI. It allows you to manage containers without needing to know platform-specific code.

Codefresh

Codefresh

Automate and parallelize testing. Codefresh allows teams to spin up on-demand compositions to run unit and integration tests as part of the continuous integration process. Jenkins integration allows more complex pipelines.

CAST.AI

CAST.AI

It is an AI-driven cloud optimization platform for Kubernetes. Instantly cut your cloud bill, prevent downtime, and 10X the power of DevOps.

Flocker

Flocker

Flocker is a data volume manager and multi-host Docker cluster management tool. With it you can control your data using the same tools you use for your stateless applications. This means that you can run your databases, queues and key-value stores in Docker and move them around as easily as the rest of your app.

Kitematic

Kitematic

Simple Docker App management for Mac OS X

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