Emil Lerch

Whether you're shipping a monolith or hundreds of microservices, every change needs to reach production safely and quickly. In this session, learn how to build a CI/CD pipeline with AWS CodePipeline and AWS CodeBuild using infrastructure as code.

AI training failures at scale cost time and money. This session demonstrates how to build automated error detection and remediation into containerized AI environments using Amazon EKS for both Trainium and NVIDIA GPUs.

Elevate your security posture with AWS offerings across the software development lifecycle (SDLC). Use Amazon Q Developer in the IDE to scan code before committing, Amazon CodeGuru in the CI/CD pipeline to block insecure deployments, and Amazon Inspector at runtime for continuous scanning.

Explore how generative AI coding tools are changing the way developers and companies build software. Generative AI–powered tools are boosting developer and business productivity by automating tasks, improving communication and collaboration, and providing insights that can inform better decision-making.

AWS is focused on efficiency and innovation across its global infrastructure, and that focus highlights how the decisions developers make can have an impact on energy consumption and green initiatives. In this session, learn about the benefits of Rust and AWS Graviton that can reduce energy consumption and increase productivity.

In this chalk talk, learn about using AWS Development Tools in conjunction with third-party Git solutions, such as GitHub Enterprise, Bitbucket Server, and more.

In this session, learn how you can use various AWS Developer Tools to improve your ergonomics across the entire development lifecycle. This session dives deep into IDE extensions, SDKs, and toolkits that provide first-class integrations with AWS services.