Introduction and Deep Dive for Amazon Aurora Serverless v2

74 Views

Thanks! Share it with your friends!

You disliked this video. Thanks for the feedback!

Published Feb 20, 2025

Amazon Aurora Serverless v2 (ASv2) is an on-demand, auto-scaling configuration that automatically adjusts database capacity based on application needs. ASv2 can scale database workloads instantly to hundreds of thousands of transactions in a fraction of a second. ASv2 adjusts capacity in fine-grained increments to provide just the right amount of database resources that the application needs, and customers pay only for the consumed capacity, saving up to 90% in database costs. This session will provide a deep-dive into this new release and show use cases to demonstrate the power of instantly scaling workloads. We will also use this time to do a demo of ASv2 in action.

Learning Objectives:
* Objective 1: Understand the benefits of Amazon Aurora Serverless v2 for scaling unpredictable or intermittent applications in seconds.
* Objective 2: Dive deep into how Aurora Serverless v2 works including a comparison of traditional managed database services.
* Objective 3: See first hand how easy Aurora Serverless v2 is setup and implemented.

***To learn more about the services featured in this talk, please visit: https://aws.amazon.com/rds/aurora/serverless/ Subscribe to AWS Online Tech Talks On AWS:
https://www.youtube.com/@AWSOnlineTechTalks?sub_confirmation=1

Follow Amazon Web Services:
Official Website: https://aws.amazon.com/what-is-aws
Twitch: https://twitch.tv/aws
Twitter: https://twitter.com/awsdevelopers
Facebook: https://facebook.com/amazonwebservices
Instagram: https://instagram.com/amazonwebservices

☁️ AWS Online Tech Talks cover a wide range of topics and expertise levels through technical deep dives, demos, customer examples, and live Q&A with AWS experts. Builders can choose from bite-sized 15-minute sessions, insightful fireside chats, immersive virtual workshops, interactive office hours, or watch on-demand tech talks at your own pace. Join us to fuel your learning journey with AWS.

#AWS