☁️ 🚀 Deploy your Amazon Web Services Lambda function(s) with a single command.
Latest commit e54472b Feb 10, 2017 @iteles iteles committed on GitHub Merge pull request #57 from dwyl/fix-failing-tests-issue-56
Fix failing tests issue 56



Deploy Amazon Web Services Lambda function(s) with a single command.

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Deploying Lambda functions manually involves quite a few steps.
Manually clicking buttons to upload zip files is fine the first few times but gets old pretty quickly.
There is an easier way!


Simplify the process of deploying a AWS Lambda Function without having to adopt a build tool/system.


There are 5 Steps to setup deployment for your Lambda Function:

1. install the dpl package from NPM

npm install dpl --save-dev

2. Ensure that the required AWS Environment Variables are set:

You need to have AWS_REGION and AWS_IAM_ROLE set:


export AWS_REGION=eu-west-1
export AWS_IAM_ROLE=arn:aws:iam::123456789:role/LambdaExecRole

these need to be your real values

Note: You also need to have your AWS Credentials set to use the aws-sdk if you have not yet done this, see below for instructions.

3. Add the list of files_to_deploy entry to your package.json

In your package.json file, add the list of files & directories you want to be included in your distribution.


"files_to_deploy": [ "package.json", "index.js", "lib/" ]

4. Add the deployment script to the scripts section in your package.json


"scripts": {
    "deploy": "dpl"

5. Use the script to Deploy!

npm run deploy

Congratulations your Lambda Function is Deployed!


If you see an error message in your console, read the message and resolve it by correcting your setup. you have either not set your AWS Credentials or not defined the required environment variables. If you get stuck or have questions, ping us!

Implementation Detail

Required Environment Variables

Deploying your Lambda function requires a few Environment Variables to be set.

AWS Credentials

As with all node.js code which uses the aws-sdk, it expects to have your AWS credentials stored on locally. Your credentials are expected to be at: ~/.aws/credentials (e.g: if your username is alex, your AWS credentials will be stored at /Users/alex/.aws/credentials) If you have not yet set your AWS credentials on your machine do this now.


The script needs to know which AWS_IAM_ROLE you want to use to deploy/run the function.


export AWS_IAM_ROLE=arn:aws:iam::123456789:role/LambdaExecRole

AWS_REGION (where your lambda function will be deployed)


export AWS_REGION=eu-west-1

Optionally you can define a TMPDIR Environment Variable

To make the deployment script's run faster, and avoid forcing people to add entries into their .gitignore file, we store the /dist directory and resulting .zip file in your OS's Temporary storage.


export TMPDIR=/path/to/where/you/want/dist/

Two things to add to your package.json

For the deploy scrip to do its job, we need to add two lines to our package.json

List of files_to_deploy

In your package.json file, add the list of files & directories you want to be included in your distribution.


"files_to_deploy": [ "package.json", "index.js", "lib/", ".env" ]

This tells dpl to copy these files and directory (with all contents) to the /dist which will be zipped and sent to AWS.

Check our package.json if in doubt.

Explanation of the Steps

dpl ("Deploy Lambda") performs the following 5 tasks

1. Create the /dist (distribution) directory

Instead of uploading all the files in a project to S3/Lambda we upload only the required files. e.g: /src or /lib and ./index.js. While we are preparing this package, these required files are copied to the (temporary) /dist directory which will be zipped in Step 5.

Why a temporary directory? see: http://stackoverflow.com/questions/17946360/what-are-the-benefits-of-using-the-official-temp-directory-for-the-os

2. Copy required files into /dist directory

This typically includes the following:

  • lib/ - the directory containing custom code your lambda function uses.
  • package.json - the "manifest" file for your project, includes the Lambda function name, any configuration and dependencies.
  • index.js - the "main" handler of your Lambda function.

3. Install (only production) node_modules in /dist directory

We only need the "production" dependencies to be zipped and shipped. so instead of copying all the devDependencies in node_modules, we simply install a fresh set using the --production flag.

4. Zip the contents of the /dist folder to {function_name}.zip

Once the /dist directory has been created with the necessary files and the dependencies have been installed in /dist/node_modules we zip the "distribution" ready for uploading to AWS.

This can take a few seconds depending on how many dependencies your Lambda function has.

 5. Upload

Once the zip has been packaged we upload it to AWS using the aws-sdk. Your Lambda function will be named according to the "name" in the package.json file for your project.

Note: We are using the latest stable version of Node.js when deploying packages. see: https://aws.amazon.com/blogs/compute/node-js-4-3-2-runtime-now-available-on-lambda/
If for any reason you prefer/need to use the "Old" (legacy) version, please let us know: https://github.com/dwyl/aws-lambda-deploy/issues/33


Why not use an existing task runner like Gulp or Grunt?

Originally we were using Gulp to perform the tasks to deploy our Lambda Functions. however this required us to duplicate a very similar gulpfile.js in all our projects.

Disadvantages of using Gulp:

  1. New developers on your team who have never used Gulp have one-more-thing to learn before they can be productive.

  2. Gulp is (up to) 50% Slower than using node.js core modules/methods.

  3. Each repo has to duplicate several Gulp devDependencies which have varing degrees of quality in their documentation/testing and will need to be updated soon when Gulp v.4 is released.

  4. The devDependencies take up 28 Megabytes on disk For one lambda function that's insignificant, but if, like us, you have many Lambda functions (e.g: 40) you using Gulp will take up a Gigabyte of your hard drive.

Note: we still love Gulp and use it in our non-lambda projects, we just think this is a leaner way of deploying our Lambdas.

Advantages of using dpl to deploy your Lambdas

  • Minial Dependencies - Our solution to the deployment task uses only one core dependency: the aws-sdk.
    (we include Babel for the people who want to use ES6 but this is optional)

  • Small Code - The entire dpl ("Deploy Lambda") module is fewer lines than our original
    gulpfile.js and uses only node.js core modules (you know and love) and your OS-native zip command.

  • A beginner can read and understand all the code used in dpl in a few minutes; our code has both JavaDoc and in-line comments and we are here to help if you have any questions!

  • No assumptions about your code style. e.g if you need any custom processing (e.g babel for your ES6) simply add a task in your scripts section of your package.json and run that task before deploying.

  • No Global packages required or implied, just one dev Dependency.

 Optional configuration

Want to specify the MemorySize or Timeout settings for your Lambda function?

  • "lambda_memory" - maximum memory allocation for your lambda function.
  • "lambda_timeout" - maximum execution time.

In your package.json add:

"lambda_timeout": "30",

Environment Variables?

Unlike other AWS Lambda deployment methods, dpl lets you use environment variables in your Lambda Functions!

Simply add .env to your list of "files_to_deploy" in your package.json


"files_to_deploy": [ "package.json", "index.js", "lib/", ".env" ]

And an .env file will included in your .zip file that gets uploaded to AWS. This means you can use an Environment Variable loader e.g env2 in your Lambda function:


exports.handler = (event, context) => {
  if (event.hello === 'world') {
    return context.fail(JSON.stringify({
      statusCode: 500,
      message: 'sorry'
  } else {
    return context.succeed({
      statusCode: 200,
      message: process.env.HELLO  // or how ever you use environment variables!

Babel ?

Given that AWS Lambda only supports Node.js v4.3.2 (which does not have ALL the ES6 features) the code you deploy to Lambda should be transpiled to ES5. Since most of the cool kids are using ES6/2015 (aka modern javascript ...) the dpl build script includes a transform step to translate ES6 into ES5 so your ES6 Code will run on Lambda.

Babel transpilation requires that the base directory of your project contains a .babelrc file. see: https://github.com/dwyl/aws-lambda-deploy/issues/23



We briefly considered using node-fs-extra to do the heavy lifting, but they are about to remove support for node.js v.0.10 which, if we want to be able to run the deploy script from a CI Environment running node v.0.10.36 (the Lambda version of node!) we need to DIY the file operations.

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