Project Icon

fx

多语言支持的函数即服务快速部署工具

fx是一个开源的函数即服务(FaaS)部署工具,支持在Docker和Kubernetes环境中快速部署无状态函数。它简化了FaaS的实现过程,支持Go、Rust、Node、Python等多种编程语言。通过简单的命令行接口,fx能在几秒钟内将函数转化为服务,方便开发者进行部署、管理和测试。

fx

Poor man's function as a service.
CI GitHub contributors CodeCov Go Report Card Go Doc visitors license Release

Table of Contents

Introduction

fx is a tool to help you do Function as a Service on your own server, fx can make your stateless function a service in seconds, both Docker host and Kubernetes cluster supported. The most exciting thing is that you can write your functions with most programming languages.

Feel free hacking fx to support the languages not listed. Welcome to tweet me @_metrue on Twitter, @metrue on Weibo.

LanguageStatusContributorExample
GoSupportedfx/examples/Golang
RustSupported@FrontMage/examples/Rust
NodeSupportedfx/examples/JavaScript
PythonSupportedfx/examples/Python
RubySupportedfx/examples/Ruby
JavaSupportedfx/examples/Java
PHPSupported@chlins/examples/PHP
JuliaSupported@matbesancon/examples/Julia
DSupported@andre2007/examples/D
PerlSupportedfx/examples/Perl
CrystalSupported@mvrilo/examples/Crystal
RWorking on need your help

Installation

Binaries are available for Windows, MacOS and Linux/Unix on x86. For other architectures and platforms, follow instructions to build fx from source.

  • MacOS
brew tap metrue/homebrew-fx
brew install metrue/fx/fx
  • Linux/Unix

via cURL

# Install to local directory
curl -o- https://raw.githubusercontent.com/metrue/fx/master/scripts/install.sh | bash

# Install to /usr/local/bin/
curl -o- https://raw.githubusercontent.com/metrue/fx/master/scripts/install.sh | sudo bash

fx will be installed into /usr/local/bin, sometimes you may need source ~/.zshrc or source ~/.bashrc to make fx available in $PATH.

  • Windows

You can go the release page to download fx manually;

Usage

NAME:
   fx - makes function as a service

USAGE:
   fx [global options] command [command options] [arguments...]

COMMANDS:
   up        deploy a function
   down      destroy a service
   list, ls  list deployed services
   image     manage image of service
   help, h   Shows a list of commands or help for one command

GLOBAL OPTIONS:
   --help, -h     show help
   --version, -v  print the version

Deploy function

Local Docker environment

By default, function will be deployed on localhost, make sure Docker installed and running on your server first. then type fx -h on your terminal to check out basic help.

$ fx up --name hello ./examples/functions/JavaScript/func.js

+------------------------------------------------------------------+-----------+---------------+
|                                ID                                |   NAME    |   ENDPOINT    |
+------------------------------------------------------------------+-----------+---------------+
| 5b24d36608ee392c937a61a530805f74551ddec304aea3aca2ffa0fabcf98cf3 | /hello    | 0.0.0.0:58328 |
+------------------------------------------------------------------+-----------+---------------+

Remote host

Use --host to specify the target host for your function, or you can just set it to FX_HOST environment variable.

$ fx up --host roo@<your host> --name hello ./examples/functions/JavaScript/func.js

+------------------------------------------------------------------+-----------+---------------+
|                                ID                                |   NAME    |   ENDPOINT    |
+------------------------------------------------------------------+-----------+---------------+
| 5b24d36608ee392c937a61a530805f74551ddec304aea3aca2ffa0fabcf98cf3 | /hello    | 0.0.0.0:58345 |
+------------------------------------------------------------------+-----------+---------------+

Kubernetes

$ FX_KUBECONF=~/.kube/config fx up examples/functions/JavaScript/func.js --name hello

+-------------------------------+------+----------------+
| ID                     | NAME        |    ENDPOINT    |
+----+--------------------------+-----------------------+
|  5b24d36608ee392c937a  | hello-fx    | 10.0.242.75:80 |
+------------------------+-------------+----------------+

Test service

then you can test your service:

$ curl -v 0.0.0.0:58328


GET / HTTP/1.1
Accept: */*
Accept-Encoding: gzip, deflate
Connection: keep-alive
Host: 0.0.0.0:10001
User-Agent: HTTPie/1.0.2



HTTP/1.1 200 OK
Connection: keep-alive
Content-Length: 11
Content-Type: text/plain; charset=utf-8
Date: Sat, 10 Aug 2019 05:28:03 GMT

hello world

Use Public Cloud Kubernetes Service as infrastructure to run your functions

  • Azure Kubernetes Service (AKS)

You should create a Kubernetes cluster if you don't have one on AKS, detail document can found here.

$ az group create --name <myResourceGroup> --location eastus
$ az aks create --resource-group <myResourceGroup> --name myAKSCluster --node-count <count>
$ az aks get-credentials --resource-group <myResourceGroup> --name <myAKSCluster>

Then you can verify it with kubectl,

$ kubectl get nodes

NAME                       STATUS   ROLES   AGE     VERSION
aks-nodepool1-31718369-0   Ready    agent   6m44s   v1.12.8

Since AKS's config will be merged into ~/.kube/config and set to be current context after you run az aks get-credentials command, so you can just set KUBECONFIG to default config also,

$ export FX_KUBECONF=~/.kube/config  # then fx will take the config to deloy function

But we would suggest you run kubectl config current-context to check if the current context is what you want.

  • Amazon Elastic Kubernetes Service (EKS) TODO

  • Google Kubernetes Engine (GKE)

First you should create a Kubernetes cluster in your GKE, then make sure your KUBECONFIG is ready in ~/.kube/config, if not, you can run following commands,

$ gcloud auth login
$ gcloud container clusters get-credentials <your cluster> --zone <zone> --project <project>

Then make sure you current context is GKE cluster, you can check it with command,

$ kubectl config current-context

Then you can deploy your function onto GKE cluster with,

$ FX_KUBECONF=~/.kube/config fx up examples/functions/JavaScript/func.js --name hellojs
  • Setup your own Kubernetes cluster
fx infra create --type k3s --name fx-cluster-1 --master root@123.11.2.3 --agents 'root@1.1.1.1,root@2.2.2.2'

Contributors

Thank you to all the people who already contributed to fx!

metrue muka pplam mbesancon chlins xwjdsh DaidoujiChen avelino andre2007 polyrabbit johnlunney tbrand andre2007 border-radius Russtopia FrontMage DropNib
项目侧边栏1项目侧边栏2
推荐项目
Project Cover

豆包MarsCode

豆包 MarsCode 是一款革命性的编程助手,通过AI技术提供代码补全、单测生成、代码解释和智能问答等功能,支持100+编程语言,与主流编辑器无缝集成,显著提升开发效率和代码质量。

Project Cover

AI写歌

Suno AI是一个革命性的AI音乐创作平台,能在短短30秒内帮助用户创作出一首完整的歌曲。无论是寻找创作灵感还是需要快速制作音乐,Suno AI都是音乐爱好者和专业人士的理想选择。

Project Cover

白日梦AI

白日梦AI提供专注于AI视频生成的多样化功能,包括文生视频、动态画面和形象生成等,帮助用户快速上手,创造专业级内容。

Project Cover

有言AI

有言平台提供一站式AIGC视频创作解决方案,通过智能技术简化视频制作流程。无论是企业宣传还是个人分享,有言都能帮助用户快速、轻松地制作出专业级别的视频内容。

Project Cover

Kimi

Kimi AI助手提供多语言对话支持,能够阅读和理解用户上传的文件内容,解析网页信息,并结合搜索结果为用户提供详尽的答案。无论是日常咨询还是专业问题,Kimi都能以友好、专业的方式提供帮助。

Project Cover

讯飞绘镜

讯飞绘镜是一个支持从创意到完整视频创作的智能平台,用户可以快速生成视频素材并创作独特的音乐视频和故事。平台提供多样化的主题和精选作品,帮助用户探索创意灵感。

Project Cover

讯飞文书

讯飞文书依托讯飞星火大模型,为文书写作者提供从素材筹备到稿件撰写及审稿的全程支持。通过录音智记和以稿写稿等功能,满足事务性工作的高频需求,帮助撰稿人节省精力,提高效率,优化工作与生活。

Project Cover

阿里绘蛙

绘蛙是阿里巴巴集团推出的革命性AI电商营销平台。利用尖端人工智能技术,为商家提供一键生成商品图和营销文案的服务,显著提升内容创作效率和营销效果。适用于淘宝、天猫等电商平台,让商品第一时间被种草。

Project Cover

AIWritePaper论文写作

AIWritePaper论文写作是一站式AI论文写作辅助工具,简化了选题、文献检索至论文撰写的整个过程。通过简单设定,平台可快速生成高质量论文大纲和全文,配合图表、参考文献等一应俱全,同时提供开题报告和答辩PPT等增值服务,保障数据安全,有效提升写作效率和论文质量。

投诉举报邮箱: service@vectorlightyear.com
@2024 懂AI·鲁ICP备2024100362号-6·鲁公网安备37021002001498号