Introduction and Deep Dive for Amazon Aurora Serverless v2 - AWS Online Tech Talks

AWS Developers · Intermediate ·📰 AI News & Updates ·3y ago
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
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