Title

AWS re:Invent 2023 - Using AWS Lambda to process Amazon SQS and Amazon SNS messages (SVS212)

Summary

Vinod Kannan Sadehmuddu and Zainab, both AWS Solutions Architects, presented a session on building serverless applications using AWS SAM (Serverless Application Model) to process Amazon SNS and SQS messages with AWS Lambda.
The session included a live demo of creating a serverless order management system using AWS services such as API Gateway, SNS, SQS, Lambda, and DynamoDB.
Zainab demonstrated how to use AWS SAM to define resources like HTTP API, SQS queue, SNS topic, and Lambda functions with event source mappings and necessary permissions using a SAM template.
The demo showcased the deployment of the SAM template, the Lambda function code for placing orders and updating inventory, and the interaction with DynamoDB tables.
The session concluded with a call to action for attendees to continue their serverless journey through AWS Skills Builder and to provide feedback on the session.

AWS SAM is a powerful framework that simplifies the process of defining and deploying serverless applications, allowing developers to define infrastructure as code using YAML syntax.
The use of AWS SAM CLI for initializing projects, validating templates, building, and deploying applications streamlines the development workflow and ensures that the infrastructure is defined correctly.
The session highlighted the integration of various AWS services, demonstrating how Lambda can be triggered by events from SNS and SQS, and how it can interact with DynamoDB to perform CRUD operations.
The use of environment variables and IAM policies within the SAM template ensures that Lambda functions have the necessary permissions to interact with other AWS services securely.
The live demo emphasized the importance of testing and validating serverless applications before deployment, showcasing the use of SAM commands like sam validate and sam deploy --guided.
The session's focus on serverless architecture reflects AWS's commitment to providing scalable, cost-effective solutions that reduce the operational overhead for developers.