Venugopalan Vasudevan

Every enterprise carries the same growing list: outdated dependencies, end-of-life runtimes, and security vulnerabilities that nobody has time to fix. In this session, learn how AWS Transform uses agentic AI to find these issues across your entire portfolio and fix them without waiting for a human to intervene.

We all have it: the monolith nobody wants to touch, and the pile of small apps and Lambda functions racking up end-of-life notices. This chalk talk is your support group.

AWS Generative AI Services helps automate end-to-end process of upgrading and transforming Java applications. Reduce the time and costs associated with modernizing applications, unlock previously cost-prohibitive and cumbersome modernization opportunities, and save customers months or even years of effort.

Learn how to build, test, and validate custom code transformation with agentic AI. Through practical examples, we'll cover defining effective transformation rules, testing strategies to refine your agents, and validation methods to ensure reliable code conversion.

In this session, use Amazon Q Developer's transformation capabilities to modernize a Java application. Learn how Amazon Q Developer can leverage generative AI to automate common language upgrade tasks like updating your code, conducting unit tests, and verifying deployment readiness.

Amazon Q Developer’s agent for code transformation automates the end-to-end process of upgrading and transforming code. Reduce the time and costs associated with modernizing applications, unlock previously cost-prohibitive and cumbersome modernization opportunities, and save customers months or even years of effort.

In this builders’ session, use Amazon Q Developer Agent for code transformation to modernize a Java application. Learn how Amazon Q Developer can leverage generative AI to automate common language upgrade tasks like updating your code, conducting unit tests, and verifying deployment readiness starting with Java.

User-facing web and mobile applications are the primary touchpoint between organizations and their customers. In this code talk, explore how AWS Amplify can be used to develop a full-stack application from the beginning, including authentication, data access using GraphQL, file storage, and geolocation.

AWS AppSync Merged APIs help platform and backend teams combine multiple GraphQL APIs, which in turn connect to multiple data sources, microservices, and events, into a single backend-for-frontend (BFF) endpoint for developers.

User-facing web and mobile applications are the primary touchpoint between organizations and their customers. To meet the ever-rising bar for customer experience, developers must deliver high-quality applications with both foundational and differentiating features.

Today, real-time digital experiences (such as real-time sports scores and financial portfolio updates, interactive learning, location tracking, and chat capabilities) are ubiquitous, and consumers have come to expect them. Join this session to learn how event-driven and publish/subscribe (pub/sub) architectures, implemented with Amazon EventBridge and serverless WebSockets from AWS AppSync,...