Serverless is the latest trend in application and system architecture, but it’s not obvious or intuitive how to architect, build, or operate serverless applications. John Chapin and Mike Roberts discuss the benefits, trade-offs, concepts, and patterns of serverless architecture. We walk you through building, deploying, and running a serverless application using AWS technologies including API Gateway, Lambda, DynamoDB, and SNS. You’ll leave with a functioning serverless application written in Java running in your own AWS account, ready for you to enhance and extend.

Style: Hands-on

Bullet Points / Outline:

Serverless Architecture Overview

• Benefits / Trade-offs
• Backend as a service (BaaS)
• Functions as a service (FaaS)
• Use cases

Building and Operating a Serverless Application

• Requirements
• Architecture
• Setup
• Development
• Testing
• Deployment
• Operations, including autoscaling
• Monitoring

The modern Java Virtual Machine (JVM) is the culmination of millions of hours of expert engineering, and is the foundation on which enormous portions of the digital landscape are built. However, as a runtime for AWS Lambda functions, the JVM is often derided as being a poor fit for an ephemeral world. The truth of the matter is that the JVM is an excellent choice of runtime for a wide range of AWS Lambda use cases, and developers need not even constrain themselves to just the Java language to use it.

In this talk, John Chapin gives an overview of the JVM runtime for AWS Lambda, as well as a comprehensive look at JVM-based Lambda performance across a range of use cases. He outlines a set of criteria to help architects and engineers decide whether or not to choose the JVM over the other runtime options. He also gives strategies, tips, and examples for developing efficient, performant AWS Lambda functions in a variety of JVM languages, including Java, Clojure, and Scala.