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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
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