Amazon Web Services

In this AWS re:Invent 2023 session, engineers from the Aurora service team share strategies for hyperscaling relational databases to handle rapid growth. The presentation covers techniques for managing rapid initial growth, optimizing database workloads, scaling with microservices, and implementing sharding solutions. Key topics include scaling up Aurora instances, adding read replicas, using connection pooling, and leveraging tools like Performance Insights and DevOps Guru for RDS to identify and resolve performance issues. The speakers also discuss Aurora's new Limitless Database feature, which simplifies sharding implementation for easier horizontal scaling. Throughout the talk, real-world examples and best practices are shared to help attendees tackle the challenges of scaling databases for high-growth applications.

product-information
skills-and-how-to
migration-and-modernization
databases
serverless
Show 1 more

Up Next

VideoThumbnail
6:45

Grindr's Next-Gen Chat System: Leveraging AWS for Massive Scale and Security

Nov 22, 2024
VideoThumbnail
53:14

AWS re:Invent 2023: SaaS DevOps Deep Dive - Automating Multi-Tenant Deployments for Container and Serverless Environments

Nov 22, 2024
VideoThumbnail
39:31

AWS re:Invent 2023: What's New in AWS Amplify for Full-Stack Web and Mobile App Development

Nov 22, 2024
VideoThumbnail
9:30

Deploying ASP.NET Core 6 Applications on AWS Elastic Beanstalk Linux: A Step-by-Step Guide for .NET Developers

Nov 22, 2024
VideoThumbnail
2:51

How to Start, Connect, and Enroll Amazon EC2 Mac Instances into Jamf for Apple Mobile Device Management

Nov 22, 2024