In this episode, we provide an overview of Amazon Aurora, a relational database solution on AWS. We discuss its unique capabilities like distinct storage architecture for better performance and faster recovery. We cover concepts like Aurora clusters, reader and writer instances, endpoints, and global databases. We also compare the serverless versions V1 and V2, noting that V2 is more enterprise-ready while V1 scales to zero. We touch on billing and additional features like the data API, RDS query editor, and RDS proxy. Overall, Aurora is powerful and scalable but not trivial to use at global scale. It's best for serious enterprise use cases or variable traffic workloads. 💰 SPONSORS 💰 AWS Bites is brought to you by fourTheorem. If you need someone to work with you to build the best-designed, highly available database on AWS, give us a shout. Check us out on ⁠⁠⁠⁠fourtheorem.com⁠⁠⁠⁠! In this episode, we mentioned the following resources: Amazon Relational Database Service (RDS): https://aws.amazon.com/rds/ Amazon RDS Aurora: https://aws.amazon.com/rds/aurora/ RDS Aurora Serverless: https://aws.amazon.com/rds/aurora/serverless/ Cost calculator for cost comparison: https://calculator.aws/#/estimate?id=4f950b71be8b31438dd12c7aebc9beae3f88179e Cloudonaut podcast and blog post about Aurora Serverless V2: https://cloudonaut.io/review-aurora-serverless-v2/ Do you have any AWS questions you would like us to address? Leave a comment here or connect with us on X, formerly Twitter: - ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://twitter.com/eoins⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ - ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://twitter.com/loige⁠⁠⁠