Amazon Web Services

In this AWS re:Invent 2023 session, Ian Robinson, a principal graph architect at AWS, discusses strategies for scaling, improving availability, and enhancing insights for Amazon Neptune applications. He covers key aspects of scaling, including identifying scaling needs, making resource allocation decisions, and effectively utilizing those resources. Robinson introduces Neptune serverless and provides guidance on determining its suitability for different workloads. He also explores techniques for improving application availability during Neptune engine updates, including the use of blue/green deployments. The session concludes with a discussion on leveraging generative AI to enhance graph insights and improve practitioner productivity. Throughout the presentation, Robinson emphasizes the importance of monitoring, cost optimization, and adapting to changing workload demands to ensure optimal performance and efficiency of Neptune applications.

product-information
skills-and-how-to
generative-ai
ai-ml
databases
Show 2 more

Up Next

VideoThumbnail
15:58

Revolutionizing Business Intelligence: Generative AI Features in Amazon QuickSight

Nov 22, 2024
VideoThumbnail
1:01:07

Accelerate ML Model Delivery: Implementing End-to-End MLOps Solutions with Amazon SageMaker

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
40:23

Set Up and Use Apache Iceberg Tables on Your Data Lake - AWS Virtual Workshop

Nov 22, 2024