Joseph Idziorek

Curious how to scale a global gaming phenomenon with minimal to no resources? In this session, join Scopely to learn how they used Amazon DynamoDB and Amazon ElastiCache Serverless to power MONOPOLY GO!'s rapid growth, handling an incredible 2.1 million writes per second at peak traffic.

To overcome the performance and scale limitations of relational databases, AWS built Amazon DynamoDB to deliver consistent single-digit millisecond performance at any scale for the most demanding applications on the planet. In this session, learn about the architecture choices for Amazon DynamoDB.

Developers have adopted the flexible schema and expressive query language of the MongoDB API because it enables them to build and evolve applications faster. However, some developers find that managing databases can be time-consuming, complicated, and challenging to scale.

Developers have adopted the flexible schema and expressive query language of the MongoDB API because it enables them to build and evolve applications faster. However, some developers find that managing databases can be time-consuming, complicated, and challenging to scale.

Taking the lessons we’ve learned from working with customers over the past year, we’re excited to share some best practices for working with Amazon DocumentDB (with MongoDB compatibility). Join this chalk talk to learn about migration strategies, how to properly size your clusters, scaling in production, how to benchmark your application with Amazon DocumentDB, driver configurations and...

In this session, Shawn Bice, VP of databases, discusses the AWS purpose-built database strategy and explains why your application should drive the requirements for which database(s) to use, not the other way around. Learn about the purpose of each AWS database service and how AWS customers are using purpose-built databases to build some of the most scalable applications on the planet.