Category: Amazon Q

You can use the AWS Database Migration Service Schema Conversion (AWS DMS SC) with generative AI feature to accelerate your database migration to AWS. This feature automatically handles the conversion of many database objects during migration by using traditional rule-based techniques and deterministic AI techniques. In this post, we demonstrate how Amazon Q Developer delivers generic solutions for complex AWS DMS SC issues, intelligently converts database stored procedure code from source to target database-compatible code, and automatically generates comprehensive test cases to validate your migrated database objects.

When running database migration with AWS DMS, you may encounter opportunities to streamline your workflow: interpreting error messages, understanding configuration parameter relationships, and navigating between the console, documentation, and community forums during troubleshooting. What if you could have an AI-powered assistant that understands your migration context, diagnoses issues in real-time, and provides actionable guidance—all within your workflow? In this post, we show you have Amazon Q integration with AWS DMS can transform your database migration experience.

Amazon Q Developer, a generative artificial intelligence (AI) assistant, can help accelerate the development of applications on AWS. In this post, we create a DynamoDB table using IaC then perform create, read, update, and delete (CRUD) operations on the table using Python and Boto3 (with additional observations for JavaScript and Java at the end of the post). We demonstrate how Amazon Q can improve your speed of development for these tasks.