Aurora DSQL (Distributed SQL) is a cloud-native, distributed database system designed for high availability, scalability, and fault tolerance. Unlike traditional databases, Amazon Aurora DSQL clusters operate across multiple AWS regions, providing synchronous replication and automatic failover to ensure minimal downtime and data consistency.
In this Cloud Lab, you’ll build a highly available, multi-region serverless application using Amazon Aurora DSQL clusters, AWS Lambda, API Gateway, and AWS Amplify:
First, you’ll deploy Aurora DSQL clusters in us-east-1 and us-east-2, ensure synchronous replication, and configure a witness region for automatic failover. Once the database infrastructure is in place, you’ll deploy AWS Lambda functions in both regions to handle data querying and insertion. These functions will interact with the Aurora DSQL clusters, ensuring seamless data operations.
Next, you’ll create REST APIs using AWS API Gateway in both regions, exposing secure endpoints for the frontend application. These APIs will trigger the Lambda functions to handle GET and POST requests, enabling smooth data exchange between the application and the distributed database.
Finally, you’ll deploy web applications using AWS Amplify in both regions to interact with the database through API Gateway. To validate the system’s multi-region functionality, you’ll insert data in one region and verify its availability in the other, demonstrating the efficiency of cross-region synchronization.
After completing this Cloud Lab, you’ll have hands-on experience deploying a highly available, multi-region serverless application with Amazon Aurora DSQL. You’ll learn to configure and synchronize distributed database clusters, build serverless functions for efficient data handling, and create secure API integrations
The following is the high-level architecture diagram of the infrastructure you’ll create in this Cloud Lab:
