This article explains how to use AWS Step Functions to create and orchestrate AWS DMS (Database Migration Service) tasks for migrating data to Amazon Aurora PostgreSQL. It provides an automated solution for migrating data from an S3 bucket (CSV files) to an Aurora PostgreSQL database.

Specifically, the article covers:

• Overview of the solution architecture using AWS Lambda, S3, Step Functions, and DMS
• Prerequisites for setting up the required AWS services
• Creating DMS source and target endpoints
• Creating required IAM roles and policies
• Creating the Step Functions state machine for orchestrating DMS task creation
• Creating a Lambda function to invoke the Step Functions state machine
• Setting up an S3 event notification to trigger the Lambda function on file upload
• Uploading the CSV data file to S3 to initiate the migration process
• Verifying the migration results in the target Aurora PostgreSQL database
• Clean-up steps to delete the resources created