Eric Johnson

Lambda durable functions let you write reliable, long-running workflows as sequential code. We start with how durable execution works: checkpointing, replay-based recovery, and the programming model.

Building software has never moved faster, and it has never asked more of developers. In this keynote, AWS Engineers and Heroes from the community tackle what's still hard: going from idea to a live app in minutes, building agents that actually work, and trusting code you didn't write yourself.

Your next API consumer might not be a person. AI agents, MCP servers, and coding assistants are calling APIs programmatically, and they need machine-readable schemas, predictable error contracts, and discoverable endpoints.

AWS Lambda durable functions enhances Lambda's programming model to simplify building fault-tolerant applications using familiar programming language patterns in JavaScript, TypeScript, or Python.

Event-driven architecture (EDA) enables organizations to build highly flexible and resilient systems, and customers are leveraging serverless containers to run EDA workloads due to its ease of use, scalability, and deep integrations with AWS serverless services.

Take your AWS Step Functions expertise to the next level with advanced architectural patterns and best practices. Join this session to dive deep into when and how to effectively use Map states, Parallel states, and nested workflows in production environments.

Are you an experienced serverless developer building applications with AWS Step Functions workflows? Are you wondering when to use a Map state, Parallel state, or a nested workflow?

Event-driven architecture (EDA) enables organizations to build highly flexible and resilient systems, and customers are leveraging serverless containers to run EDA workloads due to its ease of use, scalability, and deep integrations with AWS serverless services.

Learn when to use AWS serverless compute services and how to integrate them into your application architectures. Both AWS Lambda and Amazon ECS on AWS Fargate scale up to meet demand when needed and can scale to zero, even with containers.

Enterprises producing billions of events daily across hundreds of developers face unique challenges around schema management, evolution, and observability when scaling event-driven architectures (EDAs).

Unlock the power of serverless data engineering using containers and event-driven architectures on AWS. In this chalk talk, learn how to architect a scalable, cost-efficient serverless solution for data ingestion using Amazon ECS with AWS Fargate, AWS Step Functions, and AWS Transfer Family.

Event-driven architecture helps companies build highly scalable distributed applications. When application integrations are decoupled, applications become more durable and easier to manage.

This session provides an introduction to Amazon API Gateway and the problems it solves. Learn about the moving parts of API Gateway and how it works, including common and not-so-common use cases.

When developing serverless applications, the best practice is testing in the cloud whenever possible. However, testing in the cloud requires constant deployments that can take time.

In this chalk talk, learn about opportunities to optimize your serverless applications built with AWS Lambda. Review optimizations in the function configuration and within your function code.

Event-driven architectures can solve many difficult problems in modern enterprise workloads. For example, it can be challenging to work with large amounts of data in different data stores and locations.

Treating your serverless infrastructure and application as code can improve efficiency, build in flexibility, and save time. In this session, learn about AWS SAM, an open-source framework for building serverless applications, and discover how to use AWS SAM templates to manage serverless infrastructure as code.

It’s not just image resizing! In this chalk talk, learn how to use Amazon S3 as an event source for the core of your application workflow, including language translation, transcription, data processing, and content management.

Enterprises like Capital One are using serverless to build highly scalable and secure serverless applications to meet the financial needs of their customers. Internally, they use the AWS SAM to develop and test these applications quickly.

Continuous integration and continuous deployment (CI/CD) pipelines help development teams iterate on code and release features quickly. This chalk talk breaks down a CI/CD pipeline into its components and shows you how apply it to serverless applications.

In this session, you learn about the advanced features for Amazon API Gateway HTTP APIs that make it go beyond a simple proxy service. You learn patterns like direct service integrations to help reduce code and improve reliability and private integration options for infrastructure in a VPC.

Serverless allows developers to quickly build scalable applications without managing infrastructure. Many build their first serverless application right in the AWS Lambda console.

APIs have become the norm for allowing applications to communicate with each other. On AWS, customers turn to Amazon API Gateway to build HTTP, REST, or WebSocket APIs, providing communication endpoints between services and clients.

This session is an introduction to Amazon API Gateway and the problems it is solving. We walk through the moving parts of API Gateway, giving examples of possible use cases both common and not so common.