Long Lived Transactions Learn how to use AWS Step Functions to manage the complexities of long lived transactions across distributed components in your microservices architecture. You will also use Step Functions to implement the Saga design pattern. GitHub
Media Analytics This reference implementation provides guidance to consider when extracting metadata from media files, and provides a serverless AWS solution that combines Amazon Rekognition, Amazon Transcribe, and Amazon Comprehend. AWS Solutions
Video on Demand This solution illustrates best practices for implementing video-on-demand on AWS. AWS Lambda triggers AWS Step Functions for ingest, processing, and publishing workflows, and AWS Elemental MediaConvert performs transcoding. AWS Answers
Image Processing and Backend Use AWS Step Functions to orchestrate a serverless processing workflow that processes photos uploaded to S3, extracts metadata from the image, uses image recognition to tag objects in the photo, and creates a photo thumbnail. GitHub
EBS Snapshot Management This Snapshot Management Application demonstrates how to use AWS Step Functions with Amazon CloudWatch Events, AWS Lambda and AWS CloudFormation to build a serverless solution for EBS snapshot lifecycle management. GitHub | Blog
Batch for Life Sciences This companion tutorial to the Genomics Workflows on AWS blog series packages bioinformatics applications using Docker, creates an AWS Batch environment for analysis, and deploys Step Functions to control data processing. GitHub
Synchronize S3 Buckets Learn how to use AWS Step Functions to one-way synchronize an Amazon S3 source bucket into another S3 destination bucket in a reliable and efficient way, without having to create and populate a new bucket from scratch. GitHub | Blog
