AWS makes it easy to get started with IoT (Internet of Things). In this track, we will help new and experienced developers get the most out of connecting IoT devices to the cloud. We will highlight best practices using the cloud for IoT applications, connecting devices with AWS IoT, and using AWS endpoints. Join us to learn more about reliably scaling billions of devices in the cloud.


Level: Getting Started | Technical Session

Time: 10:00am - 11:00am

Join us for a broad overview of IoT at AWS and learn about how the AWS IoT service acts as the gateway to a number of AWS services to provide a complete IoT solution. By using AWS IoT with AWS Lambda, Amazon Kinesis, Amazon S3, and Amazon DynamoDB, you can develop powerful and flexible IoT solutions with drastically reduced overhead.

Level: Getting Started | Technical Session

Time: 11:15am - 12:15pm

This session will describe and demo methods to connect the Intel Edison to Amazon AWS in order to create a versatile IoT structure. The Intel Edison is a powerful system on chip module, the size of a postage stamp with powerful on board processing. It can be used as a sensor hub to gather data, a control board for actuators, and a gateway to connect to the cloud. When combined with the powerful services offered by AWS it can form the basis for many IoT solutions.

Level: Getting Started | Technical Session

Time: 12:30pm - 1:30pm

AWS IoT is a managed cloud platform that allows connected IoT devices to easily and securely interact with cloud applications and other devices. In this session, we will discuss how constrained devices can leverage the AWS IoT service to send data to the cloud and receive commands back to the device using the protocol of their choice. We will discuss how devices can connect securely using MQTT and HTTP protocols, and how developers and businesses can leverage the AWS IoT Rules Engine, Thing Shadows, and accelerate prototype development using AWS IoT Device SDKs. Finally, we will cover new features released since the launch of AWS IoT including integration with Amazon Machine Learning and Amazon ElasticSearch Service.

Level: Deep Dive | Technical Session

Time: 1:45pm - 2:45pm

This session will introduce best practices for IoT security in the cloud and the access control mechanisms used by AWS IoT. These mechanisms can be used to not only securely build and provision devices, but also to integrate devices with other AWS services. As a result, you are able to scale and innovate, while maintaining a secure environment. 

Level: Deep Dive | Technical Session

Time: 3:00pm - 4:00pm

In this session, you will learn how to build real-time mobile and web applications that interact over WebSockets. We will dig into how AWS IoT supports MQTT over the WebSocket protocol to enable browser-based and remote applications to send and receive data from AWS IoT connected devices using AWS credentials. Furthermore, we will show you how to use AWS IoT Device SDKs to connect your device to AWS IoT when making a WebSocket connection.

Level: Deep Dive | Technical Session

Time: 4:15pm - 5:15pm

Learn more about how to use AWS IoT's Device Shadows and Rules Engine to build powerful IoT applications. With Device Shadows, you can build applications that interact with your devices by providing always available REST APIs. By taking advantage of AWS IoT's topic-based rules and built-in integrations, you can build IoT applications that gather, process, analyze, and act on data generated by connected devices at global scale, without having to manage any infrastructure.

Level: Getting Started | Hands-on Workshop

Time: 10:00am - 11:00am

In this hands-on workshop, you will learn to capture and push live data into Amazon DynamoDB using AWS IoT and AWS Lambda. You will work with the AWS IoT Device SDK, Device Gateway, Device Shadows, and Rules Engine to connect, manage, and make sense of incoming device data. In the end, you will have the knowledge to start exploring and prototyping IoT solutions on AWS.