AWS re:Invent 2017

Join us to learn what's new in serverless computing and AWS Lambda. Dr. Tim Wagner, General Manager of AWS Lambda and Amazon API Gateway, will share the latest developments in serverless computing and how companies are benefiting from serverless applications. You'll learn about the latest feature releases from AWS Lambda, Amazon API Gateway, and more. You will also hear from FICO about how it is using serverless computing for its predictive analytics and data science platform.

AWS Step Functions makes it easy to coordinate AWS Lambda functions, run business workflows, and automate operations using state machines. The product has been live in the field for a year now, and it's time to learn from what people are doing with it. In this session, we'll present a series of innovative, high-impact, and just plain crazy applications of state machines from all sorts of customers. Guest-star Coca-Cola will show how they used Step Functions to support vending loyalty programs and product nutrition syndication. Managing application state is a central problem of building the serverless apps of the future; learn how Step Functions does it simply and scalably. Warning: there will be code!

In this session, you will learn how to deploy, monitor and manage your serverless APIs in production. We will deep dive into advanced capabilities of API Gateway that enable customers to build large scale data ingesting applications and dynamic websites. We will show you how to set up alarming and analyze logging for Amazon API Gateway and AWS Lambda using AWS CloudWatch, and automate common maintenance and management tasks for your services. In addition, we will review latest features that provide customers more control over their integrations and more insight into API usage.

You need a new approach to security for serverless applications. Classic approaches just don't make sense, because tools and process can only take you so far. You need a fresh look at what security means in these environments. Serverless applications let you focus on solving the problem at hand. Gone are most of the worries of traditional solutions. No more support code. No more building out infrastructure to deliver your application. This means you have to do less and get more in return. Classic operations fall by the wayside and you can scale your team in unprecedented ways. But what does this mean for security? No matter the design pattern, you're always responsible for your data, even if you're not running the underlying infrastructure. How do you make sure your data is safe and secure if you can't apply the usual set of security controls? In this session, we explore how serverless designs impact security. We look at how the right approach can modernize your security practice, streamline ops, and reduce your workload. This session introduces a step-by-step security process for serverless applications, using services like AWS WAF, IAM, Amazon CloudWatch, and others to build stronger applications. Session sponsored by Trend Micro Incorporated

AWS enables companies to build innovative cloud applications combining technologies like Alexa, AWS IoT, and AWS Lambda with enterprise-scale, microservice backends. After these applications move into production, there are teams responsible for monitoring all components and providing insights needed to optimize the customer experience. In this session, we share an easy-to-apply framework to build all components successfully to get the answers needed to run and improve every application, no matter how complicated. First, we lay the foundation with powerful tools in the AWS ecosystem like Amazon CloudWatch, AWS CloudTrail, and AWS X-Ray. Then, we complement these insights with approaches for monitoring frontend web and mobile performance and behavior, eventually extending into IoT devices. Finally, we show how to derive actionable insights from all the gathered data and integrate it into enterprise-grade monitoring platforms. Session sponsored by Dynatrace

When designing microservices there are a number of things to think about. Just for starters, the bounds of their functionality, how they communicate with their dependencies, and how they provide an interface for their own consumers. Serverless technologies such as AWS Lambda change paradigms around code structure, usage of libraries, and how you deploy and manage your applications. In this session, we show you how by combining microservices and serverless technologies, you can achieve the ultimate flexibility and agility that microservices aim for, while providing business value in how serverless greatly reduces operational overhead and cost. In addition, National Geographic will share how it built its NG1 platform using a serverless, microservices architecture. The NG1 platform provides National Geographic consumers with content personalized to their preferences and behaviors in an intuitive, easy-to-use way on smartphones.

Serverless applications can be composed of multiple AWS resources, such as AWS Lambda functions, Amazon API Gateway APIs, Amazon DynamoDB tables, and Amazon S3 buckets. When building a serverless application, what is the most straightforward way to group all your resources into one serverless application? Once you define your serverless application, how quickly can you develop, test, and iterate on your local machine, before deploying to AWS? In this session, learn how to define serverless applications with the AWS Serverless Application Model (AWS SAM), and how to use the AWS SAM Local CLI tool to develop and test locally, before deploying to AWS.

AWS Lambda enables you to run code without provisioning or managing servers. Today, you can write your Lambda functions once and execute them everywhere your end viewers are present with AWS Lambda@Edge. This session walks through multiple examples of web applications that use the serverless programming model for authentication, customization, and security to address the question of how to design and deploy intelligent web applications with AWS Lambda@Edge and Amazon CloudFront. The startup DataDome will also share its experience with Lambda@Edge and CloudFront, and how it simplified the onboarding process for its customers. Deployed globally on CloudFront PoP locations, their bot protection service can now be activated in one-click through the AWS console.

Serverless computing already provides high availability and fault tolerance for your application by default. However, you can build serverless applications that are deployed across multiple regions in order to further increase your availability and fault tolerance. In this session, we show you how to architect a multi-region serverless application with Amazon API Gateway and AWS Lambda that can route end users to the appropriate region to achieve optimal latency or availability. Learn about the different options for running an active/active versus an active/passive multi-region setup, and the setup for failing over between regions.

Learn how Verizon's Revvel team built a world-class video transcoding pipeline on AWS. This session shows how Revvel migrated from transcoding video on EC2 instances to a serverless pipeline using AWS Lambda and Amazon S3. You will gain insights on how they were able to achieve massive parallelization that gives Revvel the ability to transcode an entire movie or TV series into multiple device formats and bitrates within minutes, while never paying for idle resources. In addition, the Revvel team will cover best practices and lessons learned in creating a custom CI/CD pipeline for Lambda functions that allows them to test code quality during an upgrade to a Lambda function. Revvel is a team within Verizon, chartered with building and innovating video solutions. In November 2016, Verizon acquired Vessel to accelerate their efforts in building a next-generation television service, and Revvel was born.