Heeki Park

Agents are moving from demos to production, and the compute you pick shapes security, state, and cost downstream. This session follows a real agent running on AWS and the decisions behind it.

Discover how to architect scalable, production-ready agentic AI applications on AWS that deliver autonomous, multi-agent solutions for complex business challenges. Many organizations struggle with designing AI agents for real-world complexity, from managing context effectively to ensuring secure, scalable deployments.

Agentic AI is transforming enterprise applications, but taking it from prototype to production requires more than just prompting. Join this chalk talk to discuss pragmatic, scalable patterns for building agentic AI systems using AWS Serverless services like Lambda, ECS Fargate, and API Gateway.

Discover how to maximize security in serverless architectures while maintaining developer velocity. This session explores enterprise-proven security best practices across the serverless application lifecycle, from development to production.

In this chalk talk, gain insights into modeling the cost of serverless applications on AWS. Learn how traditional approaches based on CPU, memory, storage, and networking costs don’t directly apply.

Building with serverless enables organizations to build and deploy applications without managing underlying infrastructure. Serverless strengthens your overall security posture by reducing attack surface and shifting security operations to AWS.

In this session, explore how Amazon API Gateway private REST APIs can help organizations address the challenges of managing internal API workloads at scale. Learn about capabilities like access control, resource isolation, and scalability for securing and maintaining consistent API strategies across teams.

Serverless technology helps you build modern applications with increased agility and lower total cost of ownership. You can focus on product innovation and shorten your time-to-market without worrying about provisioning, maintaining, and scaling servers for backend components, such as storage.

Enterprise-based serverless developers are often subject to constraints and compliance checks that can slow deployment and feedback loops. Shift-left practices can empower developers with tools that help test and validate code compliance prior to committing to repositories.

Modern applications have revolutionized application architecture. Builders can now use containers for greater portability and/or building applications on serverless infrastructure to optimize compute resources.

Serverless technology helps you build modern applications with increased agility and lower total cost of ownership. You can focus on product innovation and shorten your time to market without worrying about provisioning, maintaining, and scaling servers for backend components such as storage.

In this session, Capital One shares concrete examples of how they have implemented serverless patterns, challenges they have faced, and the best practices and tips they have learned from operating AWS Lambda at scale in production. Dive deep on scaling Lambda with various event sources, considerations of event source integrations, observability at scale, and failure-handling mechanisms.

Dive into the details of using Amazon Kinesis Data Streams, Amazon MSK, and Amazon DynamoDB Streams as event sources for AWS Lambda. This chalk talk walks you through how Lambda scales along with these three event sources.

In this workshop, create your first serverless web application using AWS services like Amazon API Gateway, AWS Lambda, and Amazon DynamoDB. Learn modern development techniques to build, secure, deploy, and monitor a serverless application, and take away serverless best practices that can be applied to your own projects.