This blog post provides an overview of a serverless application that uses AWS Lambda to store tweets from a specific Twitter user, specifically @realDonaldTrump, in a Couchbase database. The application is deployed using the AWS Serverless Application Model (SAM), which simplifies the process of defining serverless resources and extends AWS CloudFormation to support services like API Gateway, AWS Lambda, and DynamoDB. The Lambda function is triggered every three hours to fetch new tweets using the Twitter4J API, ensuring no duplicate tweets are stored by sorting them and identifying the most recent tweet ID. The tweets are then converted to JSON format and stored in Couchbase using the Couchbase Java SDK, with environment variables managing the connection to the database securely. The blog includes sample code available on GitHub and hints at future posts analyzing the tweets collected.