Session

Using PostgreSQL-compatible Aurora DSQL database for Java Serverless applications on AWS

Amazon Aurora DSQL is a serverless distributed SQL database with virtually unlimited scale, highest availability, and zero infrastructure management. In this talk we’ll use a sample serverless application written in Java that uses Amazon API Gateway, AWS Lambda and Aurora DSQL to explore the architecture and features of this database. We'll explore the scaling behavior of DSQL, measure its performance including cold starts, deep dive into its pricing and current limitations. We’ll also present the performance optimization techniques of Lambda function itself including AWS Lambda SnapStart and GraalVM Native Image to gain the most out of the usage of Aurora DSQL database in the Serverless applications on AWS.
We'll wrap up with some suggestions when to use DSQL compared to DynamoDB, RDS and Aurora (Serverless) and what to pay attention to when migrating your existing application to Aurora DSQL.

Amazon Aurora DSQL is a serverless distributed SQL database with virtually unlimited scale, highest availability, and zero infrastructure management. In this talk we’ll use a sample serverless application written in Java that uses Amazon API Gateway, AWS Lambda and Aurora DSQL to explore the architecture and features of this database. We'll explore the scaling behavior of DSQL, measure its performance including cold starts, deep dive into its pricing and current limitations. We’ll also present the performance optimization techniques of Lambda function itself including AWS Lambda SnapStart and GraalVM Native Image to gain the most out of the usage of Aurora DSQL database in the Serverless applications on AWS.
We'll wrap up with some suggestions when to use DSQL compared to DynamoDB, RDS and Aurora (Serverless) and what to pay attention to when migrating your existing application to Aurora DSQL.

Vadym Kazulkin

Head of Development at ip.labs in Bonn, Germany

Bonn, Germany

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