Serverless Aliyun Function Compute

Serverless Alibaba Cloud Function Compute Plugin

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Aliyun Function Compute Serverless Plugin

This plugin enables Aliyun Function Compute support within the Serverless Framework.

  • Build Status

Getting started


  • Node.js v8.x for using the plugin.
  • Serverless CLI v1.26.1+. You can get it by running npm i -g serverless.
  • An Aliyun account.


You can install the following example from GitHub:

$ serverless install --url

The structure of the project should look something like this:

├── index.js
├── node_modules
├── package.json
└── serverless.yml

Install serverless-aliyun-function-compute plugin to your service.

$ serverless plugin install --name serverless-aliyun-function-compute


service: serverless-aliyun-hello-world

  name: aliyun
  runtime: nodejs8
  credentials: ~/.aliyun_credentials # path must be absolute

  - serverless-aliyun-function-compute

    - package-lock.json
    - .gitignore
    - .git/**

    handler: index.hello
      - http:
          path: /foo
          method: get


  "name": "serverless-aliyun-hello-world",
  "version": "0.1.0",
  "description": "Hello World example for aliyun provider with Serverless Framework.",
  "main": "index.js",
  "license": "MIT"


'use strict';

exports.hello = (event, context, callback) => {
  const response = {
    statusCode: 200,
    body: JSON.stringify({ message: 'Hello!' }),

  callback(null, response);

In order to deploy this function, we need the credentials with permissions to access Aliyun Function Compute. Please create a credentials file and configure the credentials in it. Here is an example credentials file:

aliyun_access_key_id = xxxxxxxx
aliyun_access_key_secret = xxxxxxxxxxxxxxxxxxxx
aliyun_account_id = 1234567890

You can find the aliyun_access_key_secret and aliyun_access_key_id from You can also chose to create an Access Key or use sub-account Access Key. You can find the aliyun_account_id from . After creating the credentials file, please make sure to change the credentials field value in serverless.yml to the absolute file path.

See test/project for a more detailed example (including how to access other Aliyun services, how to set up a HTTP POST endpoint, how to set up OSS triggers, etc.).


Make sure that you have activated Function Compute and any other dependent services such as RAM, Log Service, API Gateway and OSS before attempting to deploy your function.

  • Deploy your service to Aliyun:

    $ serverless deploy

    If your service contains HTTP endpoints, you will see the URLs for invoking your functions after a successful deployment.

    Note: you can use serverless deploy function --function <function name> to deploy a single function instead of the entire service.

  • Invoke a function directly (without going through the API gateway):

    $ serverless invoke --function hello
  • Retrieve the LogHub logs generated by your function:

    $ serverless logs --function hello
  • Get information on your deployed functions

    $ serverless info
  • When you no longer needs your service, you can remove the service, functions, along with deployed endpoints and triggers using:

    $ serverless remove

    Note: by default RAM roles and policies created during the deployment are not removed. You can use serverless remove --remove-roles if you do want to remove them.

Change Region

  • Changing the region in provider of serverless.yml:

      name: aliyun
      region: cn-hongkong
  • Changing the region in CLI parameters:

    $ serverless deploy --region cn-hongkong

    Note: CLI parameter --region has higher priority than provider, But you have to add this parameter to all the invocations, not only deploy.


# clone this repo
git clone

# link this module to global node_modules
cd serverless-aliyun-function-compute
npm install
npm link

# try it out by packaging the test project
cd test/project
npm install
npm link serverless-aliyun-function-compute
serverless package