k9s

k9s

Kubernetes集群管理的终端用户界面工具

K9s是一个为Kubernetes提供终端用户界面的集群管理工具。它实时监控集群变化,提供丰富的资源操作命令,简化了集群的导航、观察和管理流程。K9s支持多种安装方式,兼容主流操作系统,并允许自定义配置。作为开源项目,K9s为用户提供了直观高效的Kubernetes集群管理体验。

KubernetesCLI终端UI集群管理开源Github开源项目
<img src="assets/k9s.png" alt="k9s">

K9s - Kubernetes CLI To Manage Your Clusters In Style!

K9s provides a 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 your observed resources.


Note...

K9s is not pimped out by a big corporation with deep pockets. It is a complex OSS project that demands a lot of my time to maintain and support. K9s will always remain OSS and therefore free! That said, if you feel k9s makes your day to day Kubernetes journey a tad brighter, saves you time and makes you more productive, please consider sponsoring us! Your donations will go a long way in keeping our servers lights on and beers in our fridge!

Thank you!


Go Report Card golangci badge codebeat badge Build Status Docker Repository on Quay release License Releases


Screenshots

  1. Pods <img src="assets/screen_po.png"/>
  2. Logs <img src="assets/screen_logs.png"/>
  3. Deployments <img src="assets/screen_dp.png"/>

Demo Videos/Recordings


Documentation

Please refer to our K9s documentation site for installation, usage, customization and tips.

Slack Channel

Wanna discuss K9s features with your fellow K9sers or simply show your support for this tool?

Installation

K9s is available on Linux, macOS and Windows platforms. Binaries for Linux, Windows and Mac are available as tarballs in the release page.

  • Via Homebrew for macOS or Linux

    brew install derailed/k9s/k9s
  • Via MacPorts

    sudo port install k9s
  • Via snap for Linux

    snap install k9s --devmode
  • On Arch Linux

    pacman -S k9s
  • On OpenSUSE Linux distribution

    zypper install k9s
  • On FreeBSD

    pkg install k9s
  • Via Winget for Windows

    winget install k9s
  • Via Scoop for Windows

    scoop install k9s
  • Via Chocolatey for Windows

    choco install k9s
  • Via a GO install

    # NOTE: The dev version will be in effect! go install github.com/derailed/k9s@latest
  • Via Webi for Linux and macOS

    curl -sS https://webinstall.dev/k9s | bash
  • Via pkgx for Linux and macOS

    pkgx k9s
  • Via Webi for Windows

    curl.exe -A MS https://webinstall.dev/k9s | powershell
  • As a Docker Desktop Extension (for the Docker Desktop built in Kubernetes Server)

    docker extension install spurin/k9s-dd-extension:latest

Building From Source

K9s is currently using GO v1.21.X or above. In order to build K9s from source you must:

  1. Clone the repo

  2. Build and run the executable

    make build && ./execs/k9s

Running with Docker

Running the official Docker image

You can run k9s as a Docker container by mounting your KUBECONFIG:

docker run --rm -it -v $KUBECONFIG:/root/.kube/config quay.io/derailed/k9s

For default path it would be:

docker run --rm -it -v ~/.kube/config:/root/.kube/config quay.io/derailed/k9s

Building your own Docker image

You can build your own Docker image of k9s from the Dockerfile with the following:

docker build -t k9s-docker:v0.0.1 .

You can get the latest stable kubectl version and pass it to the docker build command with the --build-arg option. You can use the --build-arg option to pass any valid kubectl version (like v1.18.0 or v1.19.1).

KUBECTL_VERSION=$(make kubectl-stable-version 2>/dev/null) docker build --build-arg KUBECTL_VERSION=${KUBECTL_VERSION} -t k9s-docker:0.1 .

Run your container:

docker run --rm -it -v ~/.kube/config:/root/.kube/config k9s-docker:0.1

PreFlight Checks

  • K9s uses 256 colors terminal mode. On `Nix system make sure TERM is set accordingly.

    export TERM=xterm-256color
  • In order to issue resource edit commands make sure your EDITOR and KUBE_EDITOR env vars are set.

    # Kubectl edit command will use this env var. export KUBE_EDITOR=my_fav_editor
  • K9s prefers recent kubernetes versions ie 1.28+


K8S Compatibility Matrix

k9sk8s client
>= v0.27.01.26.1
v0.26.7 - v0.26.61.25.3
v0.26.5 - v0.26.41.25.1
v0.26.3 - v0.26.11.24.3
v0.26.0 - v0.25.191.24.2
v0.25.18 - v0.25.31.22.3
v0.25.2 - v0.25.01.22.0
<= v0.241.21.3

The Command Line

# List current version k9s version # To get info about K9s runtime (logs, configs, etc..) k9s info # List all available CLI options k9s help # To run K9s in a given namespace k9s -n mycoolns # Start K9s in an existing KubeConfig context k9s --context coolCtx # Start K9s in readonly mode - with all cluster modification commands disabled k9s --readonly

Logs And Debug Logs

Given the nature of the ui k9s does produce logs to a specific location. To view the logs and turn on debug mode, use the following commands:

# Find out where the logs are stored k9s info
____ __.________ | |/ _/ __ \______ | < \____ / ___/ | | \ / /\___ \ |____|__ \ /____//____ > \/ \/ Version: vX.Y.Z Config: /Users/fernand/.config/k9s/config.yaml Logs: /Users/fernand/.local/state/k9s/k9s.log Dumps dir: /Users/fernand/.local/state/k9s/screen-dumps Benchmarks dir: /Users/fernand/.local/state/k9s/benchmarks Skins dir: /Users/fernand/.local/share/k9s/skins Contexts dir: /Users/fernand/.local/share/k9s/clusters Custom views file: /Users/fernand/.local/share/k9s/views.yaml Plugins file: /Users/fernand/.local/share/k9s/plugins.yaml Hotkeys file: /Users/fernand/.local/share/k9s/hotkeys.yaml Alias file: /Users/fernand/.local/share/k9s/aliases.yaml

View K9s logs

tail -f /Users/fernand/.local/data/k9s/k9s.log

Start K9s in debug mode

k9s -l debug

Customize logs destination

You can override the default log file destination either with the --logFile argument:

k9s --logFile /tmp/k9s.log less /tmp/k9s.log

Or through the K9S_LOGS_DIR environment variable:

K9S_LOGS_DIR=/var/log k9s less /var/log/k9s.log

Key Bindings

K9s uses aliases to navigate most K8s resources.

ActionCommandComment
Show active keyboard mnemonics and help?
Show all available resource aliasctrl-a
To bail out of K9s:quit, :q, ctrl-c
To go up/back to the previous viewescIf you have crumbs on, this will go to the previous one
View a Kubernetes resource using singular/plural or short-name:pod⏎accepts singular, plural, short-name or alias ie pod or pods
View a Kubernetes resource in a given namespace:pod ns-x⏎
View filtered pods (New v0.30.0!):pod /fred⏎View all pods filtered by fred
View labeled pods (New v0.30.0!):pod app=fred,env=dev⏎View all pods with labels matching app=fred and env=dev
View pods in a given context (New v0.30.0!):pod @ctx1⏎View all pods in context ctx1. Switches out your current k9s context!
Filter out a resource view given a filter/filter⏎Regex2 supported ie `fred
Inverse regex filter/! filter⏎Keep everything that doesn't match.
Filter resource view by labels/-l label-selector⏎
Fuzzy find a resource given a filter/-f filter⏎
Bails out of view/command/filter mode<esc>
Key mapping to describe, view, edit, view logs,...d,v, e, l,...
To view and switch to another Kubernetes context (Pod view):ctx⏎
To view and switch directly to another Kubernetes context (Last used view):ctx context-name⏎
To view and switch to another Kubernetes namespace:ns⏎
To view all saved resources:screendump or sd⏎
To delete a resource (TAB and ENTER to confirm)ctrl-d
To kill a resource (no confirmation dialog, equivalent to kubectl delete --now)ctrl-k
Launch pulses view:pulses or pu⏎
Launch XRay view:xray RESOURCE [NAMESPACE]⏎RESOURCE can be one of po, svc, dp, rs, sts, ds, NAMESPACE is optional
Launch Popeye view:popeye or pop⏎See popeye

K9s Configuration

K9s keeps its configurations as YAML files inside of a k9s directory and the location depends on your operating system. K9s leverages XDG to load its various configurations files. For information on the default locations for your OS please see this link. If you are still confused a quick k9s info will reveal where k9s is loading its configurations from. Alternatively, you can set K9S_CONFIG_DIR to tell K9s the directory location to pull its configurations from.

UnixmacOSWindows
~/.config/k9s~/Library/Application Support/k9s%LOCALAPPDATA%\k9s

NOTE: This is still in flux and will change while in pre-release stage!

You can now override the context portForward default address configuration by setting an env variable that can override all clusters portForward local address using K9S_DEFAULT_PF_ADDRESS=a.b.c.d

# $XDG_CONFIG_HOME/k9s/config.yaml k9s: # Enable periodic refresh of resource browser windows. Default false liveViewAutoRefresh: false # The path to screen dump. Default:

编辑推荐精选

Keevx

Keevx

AI数字人视频创作平台

Keevx 一款开箱即用的AI数字人视频创作平台,广泛适用于电商广告、企业培训与社媒宣传,让全球企业与个人创作者无需拍摄剪辑,就能快速生成多语言、高质量的专业视频。

即梦AI

即梦AI

一站式AI创作平台

提供 AI 驱动的图片、视频生成及数字人等功能,助力创意创作

扣子-AI办公

扣子-AI办公

AI办公助手,复杂任务高效处理

AI办公助手,复杂任务高效处理。办公效率低?扣子空间AI助手支持播客生成、PPT制作、网页开发及报告写作,覆盖科研、商业、舆情等领域的专家Agent 7x24小时响应,生活工作无缝切换,提升50%效率!

TRAE编程

TRAE编程

AI辅助编程,代码自动修复

Trae是一种自适应的集成开发环境(IDE),通过自动化和多元协作改变开发流程。利用Trae,团队能够更快速、精确地编写和部署代码,从而提高编程效率和项目交付速度。Trae具备上下文感知和代码自动完成功能,是提升开发效率的理想工具。

热门AI工具生产力协作转型TraeAI IDE
蛙蛙写作

蛙蛙写作

AI小说写作助手,一站式润色、改写、扩写

蛙蛙写作—国内先进的AI写作平台,涵盖小说、学术、社交媒体等多场景。提供续写、改写、润色等功能,助力创作者高效优化写作流程。界面简洁,功能全面,适合各类写作者提升内容品质和工作效率。

AI助手AI工具AI写作工具AI辅助写作蛙蛙写作学术助手办公助手营销助手
问小白

问小白

全能AI智能助手,随时解答生活与工作的多样问题

问小白,由元石科技研发的AI智能助手,快速准确地解答各种生活和工作问题,包括但不限于搜索、规划和社交互动,帮助用户在日常生活中提高效率,轻松管理个人事务。

聊天机器人AI助手热门AI工具AI对话
Transly

Transly

实时语音翻译/同声传译工具

Transly是一个多场景的AI大语言模型驱动的同声传译、专业翻译助手,它拥有超精准的音频识别翻译能力,几乎零延迟的使用体验和支持多国语言可以让你带它走遍全球,无论你是留学生、商务人士、韩剧美剧爱好者,还是出国游玩、多国会议、跨国追星等等,都可以满足你所有需要同传的场景需求,线上线下通用,扫除语言障碍,让全世界的语言交流不再有国界。

讯飞智文

讯飞智文

一键生成PPT和Word,让学习生活更轻松

讯飞智文是一个利用 AI 技术的项目,能够帮助用户生成 PPT 以及各类文档。无论是商业领域的市场分析报告、年度目标制定,还是学生群体的职业生涯规划、实习避坑指南,亦或是活动策划、旅游攻略等内容,它都能提供支持,帮助用户精准表达,轻松呈现各种信息。

热门AI工具AI办公办公工具讯飞智文AI在线生成PPTAI撰写助手多语种文档生成AI自动配图
讯飞星火

讯飞星火

深度推理能力全新升级,全面对标OpenAI o1

科大讯飞的星火大模型,支持语言理解、知识问答和文本创作等多功能,适用于多种文件和业务场景,提升办公和日常生活的效率。讯飞星火是一个提供丰富智能服务的平台,涵盖科技资讯、图像创作、写作辅助、编程解答、科研文献解读等功能,能为不同需求的用户提供便捷高效的帮助,助力用户轻松获取信息、解决问题,满足多样化使用场景。

模型训练热门AI工具内容创作智能问答AI开发讯飞星火大模型多语种支持智慧生活
Spark-TTS

Spark-TTS

一种基于大语言模型的高效单流解耦语音令牌文本到语音合成模型

Spark-TTS 是一个基于 PyTorch 的开源文本到语音合成项目,由多个知名机构联合参与。该项目提供了高效的 LLM(大语言模型)驱动的语音合成方案,支持语音克隆和语音创建功能,可通过命令行界面(CLI)和 Web UI 两种方式使用。用户可以根据需求调整语音的性别、音高、速度等参数,生成高质量的语音。该项目适用于多种场景,如有声读物制作、智能语音助手开发等。

下拉加载更多