Marc Brooker

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.

Amazon Aurora DSQL is a serverless, distributed SQL database built for global scale. In this session, Marc Brooker, AWS VP and Distinguished Engineer, dives into the exact algorithms Aurora DSQL uses to achieve faster-than-light consistent reads, strong isolation, durability, and atomicity across regions.

If you are curious how transactions are processed differently in Amazon Aurora DSQL versus Amazon Aurora PostgreSQL, join Marc Brooker, AWS VP and Distinguished Engineer, as he dives into how transactions are processed in these two databases – right down to the code level.

Go deep into how AgentCore works under the hood. This technical deep-dive session breaks down the ReAct loop—how agents iteratively reason, plan, and perform tool calls to accomplish complex goals.

Many teams move fast with agentic AI prototypes that impress in demos but stall in production—blocked by gaps in reliability, accuracy, and safety. In this session, AWS agentic AI technical leaders will help builders rethink how to build and scale production-grade, trustworthy agentic AI.

Postgres has proven to be a great building block for the next generation of databases systems at AWS, from forming the core of Aurora DSQL, to being a key part of how we’re thinking about data for agentic applications (and applications built by agents).

Amazon Aurora DSQL is a new relational database that combines the best of serverless experience, Amazon Aurora performance, and Amazon DynamoDB scale. Aurora DSQL's distributed architecture is designed to make it effortless for organizations of any size to manage distributed workloads with strong consistency.

Grand architectural theories are nice, but what makes systems resilient is in the details. Marc Brooker, VP and distinguished engineer, looks at some of the resiliency tools and techniques AWS uses in its systems.

This session dives into the security model behind AWS Lambda functions, looking at how you can isolate workloads, build multiple layers of protection, and leverage fine-grained authorization. You learn about the implementation, the open-source Firecracker technology that provides one of the most important layers, and what this means for how you build on Lambda.

Serverless computing allows you to build and run applications and services without thinking about servers. Serverless applications don't require you to provision, scale, and manage any servers.

One of the biggest challenges of building services and systems is predicting the future. Changing load, business requirements, and customer behavior can all change in unexpected ways.

The Amazon Builders’ Library is a collection of living articles that are written by Amazon senior technical leaders and engineers and that describe how Amazon develops, architects, releases, and operates technology. In this session, five principal engineers share hard-learned lessons from their experiences building reliable services at Amazon.