Brian Zambrano

Experience the future of application development as we demonstrate how to transform a simple prompt into a fully functional serverless application. Watch live coding that showcases how to combine Amazon Q with AWS serverless services using MCP servers to create dynamic, scalable solutions.

Discover how to scale real-time applications to millions of users with modern event-driven architectures. Learn essential strategies for managing high-volume connection requests, implementing effective filtering patterns, and handling event distribution at scale.

Boost productivity and create better customer experiences by building a modern integration strategy. This session explores using AWS application, data, and file integration services to connect on-premises and cloud technologies securely and at scale.

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).

Distributed systems and messaging can be challenging at scale, especially with the range of available tools and services. What are event brokers, queues, routers, or streams?

Parallel processing is a common computing approach to help solve large problems in a shorter period of time. By running the components of a problem concurrently, the total duration is greatly reduced.

ConcurrentExecutions is one of the most important metrics to understand for any AWS Lambda–based workload. What is Lambda concurrency, and how does is relate to transactions per second?

The Operational Excellence pillar of the AWS Well-Architected Framework focuses on running and monitoring systems to deliver business value and continually improving processes and procedures. So, how does this translate to the world of serverless workloads?