An AWS Lambda Event-driven function that resizes videos and outputs thumbnails using FFmpeg. This function is meant for short-duration videos. If you need to transcode long videos, check out AWS Elastic Transcoder.

• Master:
• Develop:

The different platforms have different naming conventions for their services. To simplify this, listed below is a proposed table of generalized terms that are platform-independent.

1. A video file is uploaded to the source storage location
2. A notification event triggers the function
3. The function downloads the video file from the source location
4. Streams the video through FFmpeg
5. Outputs a scaled video file and a thumbnail image
6. Uploads both files to the destination bucket

• Amazon Web Services (aws) Lambda
• Google Cloud Platform (gcp) Cloud Functions (Alpha)
• IBM (ibm) OpenWhisk (Not started)
• Microsoft Azure (msa) Functions (Still some work to do here)

1. Install node.js, preferably through nvm. Each platform service uses a specific version of Node.js.
2. Clone this repo git clone ...
3. Run npm install
4. Create your function code's storage location (or choose an existing one)
5. Update the platform-specific configuration JSON file (see below), and/or modify the code file for your purposes
6. Run Gulp (see below)
7. Invoke the function by uploading a video to your source storage location.

See config_samples.

At minimum, you need to modify:

• functionBucket - The name of the bucket where your the lambda function code will be uploaded to. It's necessary for CloudFormation.
• sourceBucket - The name of the bucket that will receive the videos and send them to the lambda for processing.
• destinationBucket - The name of the bucket that will be used to store the output video and thumbnail image.

• Run npm test

• Install FFmpeg locally or use the compilation guide
• Edit event/{platform}.json and run node test/{platform}.js, where platform is (aws|msa|gcp)
• When switching among the platforms, reinstall the node modules if the runtime supports a different version of Node.js.
• See the platform-specific notes

• Gzipping videos will cause Safari errors in playback. Don't enable gzip unless you don't care about supporting Safari.

• Version information
• Pick the largest memory allocation. This is mostly CPU bound, but Lambda bundles memory and CPU allocation together. Memory size is 1536 by default, in the CloudFormation template. Testing with different videos and sizes should give you a good idea if it meets your requirements. Total execution time is limited!
• The object key from the event is URL encoded. Spaces in the filenames might be replaced with + so be aware of this and handle errors appropriately. If you try to download the file with the AWS SDK for JavaScript like in this example, without handling this, it will throw an error.
• Not handling errors with context.fail(error) will cause the function to run until the timeout is reached.

# Environment variables
export AWS_ACCESS_KEY_ID=AKIDEXAMPLE
export AWS_SECRET_ACCESS_KEY=wJalrXUtnFEMI/K7MDENG+bPxRfiCYEXAMPLEKEY
export AWS_REGION=us-east-1
export DESTINATION_BUCKET=destination-bucket
# Note that the following variable is single-quote escaped. Use $KEY_PREFIX to get the filename minus the extension.
export FFMPEG_ARGS=$'-c:a copy -vf scale=\'min(320\\,iw):-2\' -movflags +faststart -metadata description=http://my.site/$KEY_PREFIX.mp4 out.mp4 -vf thumbnail -vf scale=\'min(320\\,iw):-2\' -vframes 1 out.png'
export USE_GZIP=false
export MIME_TYPES='{"png":"image/png","mp4":"video/mp4"}'
export VIDEO_MAX_DURATION='30'
export SSE="aws:kms" # or "aes256" if you want to put the video into an encrypted bucket
export SSE_KEY_ID="some kms key id" # if SSE="aws:kms" you must provide this key id too
# Node version
nvm use 6.10 # This is subject to change
# Babel-node test script
node node_modules/babel-cli/bin/babel-node.js test/aws.js

Creates the CloudFormation for your CloudFormation template and Lambda function code. Run this once. Set the CFN_S3_BUCKET environment variable to the name of the bucket you want to create.

CFN_S3_BUCKET=cloudformation-bucket gulp aws:create-cfn-bucket

The following environment variables must be set prior to using the rest of the gulp commands

export CFN_S3_BUCKET=cloudformation-bucket
export SOURCE_BUCKET=source-bucket
export DESTINATION_BUCKET=destination-bucket
# Note that the following variable is single-quote escaped. Use $KEY_PREFIX to get the filename minus the extension.
export FFMPEG_ARGS=$'-c:a copy -vf scale=\'min(320\\,iw):-2\' -movflags +faststart -metadata description=http://my.site/$KEY_PREFIX.mp4 out.mp4 -vf thumbnail -vf scale=\'min(320\\,iw):-2\' -vframes 1 out.png'
export USE_GZIP=false # can be true or false
export MIME_TYPES='{"png":"image/png","mp4":"video/mp4"}' # must be a JSON object with "extension": "mimeType" as the key/value pairs
export VIDEO_MAX_DURATION='30' # must be a number

Everything you need to get started. Note: You can change the stack name by setting environment variable STACK_NAME.

• Runs the aws:build-upload task
• Runs the aws:deployStack task

• Builds dist.zip
  • Downloads and extracts FFmpeg binaries
  • Transpiles, installs dependencies, and copies configuration
• Uploads dist.zip to the function's S3 bucket

• Creates or updates the CloudFormation stack which includes:
  • The lambda function's execution role and policy
  • The lambda function
  • The source bucket (where videos are uploaded to), including the notification configuration
  • The destination bucket (where videos and thumbnails go after they are processed)

Run after modifying anything in the function or configuration, if you've already created the stack. This will rebuild dist.zip, upload it to S3, and update the lambda function created during the CloudFormation stack creation.

See the quickstart guide.

Note: you must have the gcloud CLI tool installed.

• Builds everything into the build/ directory
• Deploys the function. Note: GCF does the npm install on the server-side, so there is no need to build a zip file.

# Environment variables
export GCLOUD_PROJECT=example-project-name
export GOOGLE_APPLICATION_CREDENTIALS=/path/to/credentials.json
export CONFIG_FILE=../config/gcp.json
# Node version
nvm use 6.9.1 # This is subject to change
# Babel-node test script
node node_modules/babel-cli/bin/babel-node.js --presets es2015 test/gcp.js

See the OpenWhisk repo

See Azure functions reference.

# Environment variables
export AZURE_STORAGE_CONNECTION_STRING=... # copy from azure console
export CONFIG_FILE=../config/msa.json
# Node version
nvm use 5.9.1 # This is subject to change
# Babel-node test script
node node_modules/babel-cli/bin/babel-node.js --presets es2015-node5 test/aws.js

Submit issues if you find bugs or something is unclear. Pull requests are even better, especially if you can make something more generalized.

If you use it, ⭐ it!