Yuriy Bezsonov

Learn how to build cloud-native Java applications based on best practices, and discover ways you can optimize application performance for fast startup and efficient resource usage in containerized environments.

Spring AI provides Java developers with vendor-agnostic APIs for building intelligent applications. This session demonstrates key Spring AI capabilities including Retrieval-Augmented Generation for enhanced context-aware responses, conversation state management, and system integration through tool calling.

In this hands-on builders session, dive into the world of AI agents using Java and the Spring AI framework on AWS. You'll build a Serverless AI agent from the ground up, integrating with various Amazon Bedrock models, implementing chat memory, RAG and Model Context Protocol (MCP) support.

Learn how to build cloud-native Java applications based on best practices, and discover ways you can optimize application performance for fast startup and efficient resource usage in containerized environments.

Learn how to build cloud-native Java applications based on best practices, and discover ways you can optimize for performance. In this builders’ session, gain hands-on experience building cloud-native Java applications with Amazon Corretto and Spring Boot.

Some of the most innovative AWS customers are using Amazon EKS to train and run inference for cutting-edge generative AI workloads. In this workshop, learn how to train and serve LLMs on Amazon EKS.

In this builders’ session, learn how to build cloud-native Java applications and deploy to Kubernetes with GitOps, best practices, and performance-optimization techniques. Get hands-on experience using Amazon EKS, Amazon Corretto, Amazon ECR, GraalVM, Spring Boot, and more.