Session

Exploring Data API for Amazon Aurora Serverless v2

In this talk I briefly explain the benefits of the Amazon Aurora Serverless v2 in general and the features behind the Data API for Amazon Aurora Serverless v2. I will use AWS SDK for Java to explore the different flavors of Data API: (batch) statement execution and working with database transactions. I will also provide Data API performance metrics (for example making Data API call to Aurora Serverless v2 from AWS Lambda) and compare it with the metrics of other database session management solutions like Amazon RDS Proxy and also with the usage of DynamoDB database instead of Aurora Serverless v2. I'll also discuss different performance optimization techniques, Data API current constraints and make some comparisons between Data APIs for Amazon Aurora Serverless for v1 and v2.

In this talk I briefly explain the benefits of the Amazon Aurora Serverless v2 in general and the features behind the Data API for Amazon Aurora Serverless v2. I will use AWS SDK for Java to explore the different flavors of Data API: (batch) statement execution and working with database transactions. I will also provide Data API performance metrics (for example making Data API call to Aurora Serverless v2 from AWS Lambda) and compare it with the metrics of other database session management solutions like Amazon RDS Proxy and also with the usage of DynamoDB database instead of Aurora Serverless v2. I'll also discuss different performance optimization techniques, Data API current constraints and make some comparisons between Data APIs for Amazon Aurora Serverless for v1 and v2.

Vadym Kazulkin

Head of Development at ip.labs in Bonn, Germany

Bonn, Germany

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