Justin Pirtle

In this hands-on builders' session, build a serverless, real-time chat experience with a virtual assistant. Dive deep into serverless, real-time APIs powered by AWS AppSync, AWS Lambda, and Amazon Bedrock.

Learn how to easily process data on an Apache Kafka stream using AWS Lambda in this hands-on session. You will use Lambda's built-in support for Kafka as an event source to process streaming analytics data and publish it to a live dashboard.

Learn to architect your serverless API workloads on AWS to scale to meet virtually any demand while also reducing your operational overhead. This chalk talk discusses key design principles for Amazon API Gateway, AWS Lambda, and Amazon DynamoDB to achieve massive scale.

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?

Do you have a major launch event coming up? By building your APIs and web applications with AWS serverless computing, you can gain scalability with reduced operational overhead.

Event-driven serverless architectures enable your applications to seamlessly scale to burst so they can handle virtually any demand benefiting from pay-as-you-go pricing and minimal operational overhead. Join this session to learn architecture patterns and best practices for composing end-to-end architectures with queues, publish/subscribe topics, and front-end APIs paired with AWS...

Streaming data pipelines are increasingly used to replace batch processing with real-time decision-making for use cases including log processing, real-time monitoring, data lake analytics, and machine learning. Join this session to learn how to leverage Amazon Kinesis and AWS Lambda to solve real-time ingestion, processing, storage, and analytics challenges.