Chris Munns

Do you want to take advantage of the full power of serverless architectures for your production workloads? Are you wondering how events can help your applications scale?

In this session, learn about patterns and techniques for architecting the ability to handle rapid growth and success in the early days of your business into your infrastructure on AWS.

In this session, learn about patterns and techniques for building the ability to handle rapid growth and success in the early days of your business into your infrastructure on AWS. From implementing highly scalable AWS services to architecting proven patterns, there are a number of choices you can make early on to help you overcome some common infrastructure challenges.

This chalk talk discusses what you can do to optimize your serverless applications built with AWS Lambda from the function configuration and in your function code. Learn how you can best measure and tune your function’s performance by configuring memory to get the right application performance.

In the first of this two-part series, you learn what you can do to optimize your serverless applications built with AWS Lambda from the Lambda platform and service side. From how to think about your invoke model and usage to what storage makes the best sense for your use case, this session covers everything that you should consider apart from your Lambda function.

This session covers one of the most requested new features for AWS Lambda: container image support. With container image support, developers can now package their Lambda functions and required dependencies using familiar container image tooling.

In this session, learn what’s new for serverless at AWS in 2020. Are there exciting things that might have slipped past you for AWS Lambda, Amazon API Gateway, Amazon EventBridge, AWS Step Functions, and AWS SAM?

Many developers have become familiar with building microservices on traditional compute offerings such as virtual machines and containers, but what about serverless? The "functions as a service" model behind AWS Lambda presents a number of unique differences while still providing many benefits that make it a strong fit for microservices-based architectures.