Yes you read that right. Figured out a way to make a timelapse thanks to AWS Lambda and a bucket with images on S3.

# Requirements

  • configured aws cli (install with pip or brew)

# Deploy the ffmpeg layer

With aws lambda you can leverage an existing layer made of pre-built packages.

You can extend the ffmpeg-lambda-layer to write the Lambda with ffmpeg built in.

So to do this, deploy the Layer via the serverless repo: Click here and deploy it on AWS Lambda and copy the ARN


# Create an S3 bucket

Name it, for example, “garden-snapshots” in the same region as the ffmpeg-lambda-layer

# Get project

Download the project from here:

git clone [email protected]:christian-fei/timelapse-lambda.git

# Create IAM Role

Go to IAM and create a role with the following permissions:

  • AmazonS3FullAccess
  • AWSLambdaFullAccess


# Create timelapse lambda

run ./create-aws-lambda by specifying the needed parameters, below you can find an example.

in the same region as above!

./create-aws-lambda \
--region us-east-1 \
--lambda Timelapse \
--role arn:aws:iam::XXXXXXXXXXX:role/lambda_name \
--ffmpeg arn:aws:lambda:us-east-1:XXXXXXXXXXX:layer:ffmpeg:1

# update the lambda with the code

specify the region and the lambda name as above and run:

./deploy-aws-lambda \
--region us-east-1 \
--lambda Timelapse


Download the project from here:

git clone [email protected]:christian-fei/timelapse-lambda.git

npm install and take a look at launch-lambda-example.js:

#!/usr/bin/env node

const AWS = require('aws-sdk')

const region = 'us-east-1'

const apiVersion = 'latest'
const lambda = new AWS.Lambda({ apiVersion, region })
const invokeParams = { FunctionName: 'Timelapse' }

lambda.invoke(invokeParams, (err, data) => {
console.log(err, data)