AWS IoT Things Graph makes it easy to visually connect different devices and web services to build Internet of Things (IoT) applications, with little to no code. In this session, we show you how to quickly design, deploy, and monitor sophisticated workflows. AWS IoT Things Graph allows you to represent your devices and web services as reusable components called models, which hide low-level details like data formats, protocols, and interfaces. We explore how you then can visually “wire together” your models and their interactions to rapidly design and deploy complex custom IoT applications.

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Visually developing IoT applications
using AWS IoT Things Graph
Pushpak Pujari
Product manager, AWS IoT Things Graph
Amazon Web Services
S V C 2 0 7

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Agenda: Chicago Summit service launch
1. Introduction to AWS IoT Things Graph
• Features
• How it works
2. Industry use cases powered by AWS IoT Things Graph
3. Customer reference—Reliance Steel
4. Resources

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Introducing AWS IoT service architecture

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Introducing AWS IoT Things Graph
AWS IoT Things Graph is an orchestration service that helps you easily coordinate
interactions between different devices and cloud services
Build flows to automate your IoT
workload. AWS IoT Things Graph
ensures that the steps execute in
the desired sequence.
Orchestrate
Track the status of your flow
deployments and executions in near
real time to monitor the health of
your application.
Monitor
AWS IoT Things Graph automatically
transforms messages between devices
with different protocols and data
formats so that you don’t have to
write low-level bridging code.
Interoperate

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AWS IoT Things Graph simplifies with built-in features
With AWS IoT Things Graph, you can reduce heavy lifting by creating
and deploying automation flows at scale
Purpose-built workflow
engine
Optimized for IoT workloads
Drag-and-drop visual
UI
Build an application in
minutes
Model-driven approach
Reusable building blocks
that you can snap together
in a flow
Run in the cloud or
on the edge
Your flow,
your choice

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Purpose-built workflow engine
Built specifically for IoT—support for things
1. Support for device communication protocols
such as MQTT; interface with web services over
HTTP
2. AWS IoT Things Graph supports device
interoperability with mappings and sematic
types
3. Event driven—supports asynchronous
interactions between devices and services
4. Ability to recover and resume effortlessly from
crashes and failures

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Visual UI
Build flow using
mouse clicks
Define
interactions
Add branches,
and embed logic
such as choice,
(if/else), or AND

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Models: Integrate devices easily
• Describes capabilities of a
device or service as a set of
properties, actions, and
events
• Reuse rather than rewrite
low-level code
• Written in AWS IoT Things
Data Graph Model and
GraphQL syntax
• Use pre-built models or
build your own

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Model hierarchy in AWS IoT Things Graph
Security
camera
Model
Device model—represents a generic device
type
Device—defines capabilities of a
manufacturer-specific model
Thing—represents a specific instance of a
device with a unique serial number
Service model to
interface with AWS
services such as AWS
Lambda and Amazon
Rekognition
Sony SNC-
HM662
Panasonic
WV-
X6531N
Models that you create are in your private namespace and are visible to only you

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Deploy flows in the cloud or on the edge
Design in the cloud,
deploy anywhere
Orchestrate devices and
web services
Native support for MQTT
and Modbus protocols for
devices, with HTTP/SigV4
for AWS services
Bulb
Camera
AWS services

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How it works
Use models
Create flows
Configure flows
Deploy flows

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Model and flow designer: Optional, yet flexible
Create in editor, or
upload GraphQL code
Reuse code of existing
models to build new
models
See your flow as code

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Configure and deploy flows
Describe flow
configuration
Map things in IoT
registry with models
Deploy target of
choice
Set up trigger logic

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AWS IoT Things Graph delivers customer outcomes
AWS IoT Things Graph feature Customer outcome
Protocol and message
translation
Coordinate the interaction between the devices by
automatically mapping the messages between the required
protocols
Speed up development by not having to write low-level
code to interface between multiple protocols
Visual user interface
Drag and drop interface to visually design workflows
without writing lots of code
Easily develop workflows with multi-step interactions
between devices and web services
Device models
AWS IoT Things Graph supports abstract device models that
can be extended to model similar devices from multiple
vendors
Using device models allows automation designers to mix
and match components from different vendors
Edge or cloud deployment
Design workflows in the cloud and deploy on the cloud or
on any AWS IoT Greengrass-based edge gateway
Flexible implementation per system deployment needs
Web services
Common AWS web services (Amazon S3, Amazon
Rekognition, AWS Lambda, etc.) are available as models to
add into workflows
Design workflows that leverage AWS scalability and security
to create workflows that deliver outcomes to multiple
stakeholders across various organizations

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AWS IoT Things Graph simplifies energy monitoring
Problem
Energy consumption is usually the biggest operating
expenditure of buildings. Heating, cooling, and lighting
systems need to be turned down, especially in areas of
low occupancy. This creates complex, multi-step
workflows.
Solution
AWS IoT Things Graph simplifies the creation of a
multi-step workflow that is triggered based on
occupancy changes in the target area. The workflow
can also be used to trigger AWS web services to
generate custom reports.
Impact
The automated energy workflow reduces the operating
cost of the building by scaling energy consumption
without sacrificing occupancy comfort. Automated
protocol and message mapping from AWS IoT Things
Graph helps reduce development time and costs.
Building
Simplified reference architecture example
A/V
equipment
Lighting
Occupancy
sensor
AWS IoT Things
Graph
AWS IoT
Greengrass
AWS Cloud
Amazon
Rekognition
AWS
Lambda
Amazon S3

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AWS IoT Things Graph simplifies factory workflows
Problem
Factory workflows involve multiple devices that do
not talk the same protocol. The gateway needs to
interface with these devices and with web services
to generate insights from factory data.
Solution
AWS IoT Things Graph supports multiple protocols
and translates messages between multiple
protocols with little code from the application
developer. AWS IoT Things Graph can also be
deployed on an AWS IoT Greengrass-enabled
gateway for edge deployments at the factory.
Impact
Reduce the application development time and cost
to implement workflows. Deploy workflows in the
cloud or on the edge as required by the factory
owner.
Simplified reference architecture example
Monitoring
devices
AWS IoT Things
Graph
AWS IoT
Greengrass
AWS Cloud
Amazon
Rekognition
AWS
Lambda
Amazon S3
Factory
Gateway

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AWS IoT Things Graph simplifies home monitoring
Problem
Home monitoring services need to work with
multiple sensors built by different vendors. The
device vendor for a single device type may change
across end users, and these devices need to be
supported.
Solution
AWS IoT Things Graph uses device models that
allow automation designers to mix and match
components from different vendors. Using devices
with the same abstract device model enables the
same workflow to be used across device vendors.
Impact
Home monitoring service companies can create a
wide catalog of supported devices to expand user
choice and deliver the most effective solutions.
Building
Simplified reference architecture example
Lighting
Occupancy
sensor
AWS IoT Things
Graph
AWS Cloud
Amazon
Rekognition
AWS
Lambda
Amazon S3

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AWS IoT Things Graph across industries

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Reliance Steel & Aluminum Co. overview
• Fortune 500 company (ranked 305) founded
in 1939; went public in 1994
• Largest metals service center companies in
North America
• 300+ locations across 40 states and 13
countries
• 100,000+ metal products
• Carbon steel, stainless, alloy, aluminum
• Bar, tubing, plate, sheet, coil
• Value-added metals processing services
• 125,000+ customers across manufacturing,
aerospace, energy, transportation, and
construction

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IoT business use case
• Aging mission-critical and highly capitalized equipment spend
• Predictive maintenance
• Workflow automation and drive opex
• Asset management
• Site planning and process change management
• Connected distribution centers
• Data-driven decisions at each level

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Building comprehensive IoT
• Enabling AWS IoT on connected devices
• Connecting connection-capable devices
• Adding sensors to devices that are not connected
• Getting logs from devices that are not connected and leveraging them
• Integrating with industrial protocol OPC UA to get machine data
• Leveraging existing logs and maintenance data to gain analytic insight
• Implementing an automated ticketing workflow system

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Where does AWS IoT Things Graph fit in?
AWS IoT Things Graph solves the problem of managing multiple complex and
changing workflows across an implementation
• Automates the development of device flows and actions using a drag-and-drop
interface
• Saves times by allowing for easy adjustments on the fly to rules and
connections without having to edit multiple snippets of code
• Makes implementing new devices, device types, and work sites more accessible

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AWS IoT Things Graph flow
• The system is set up to read the sensor data for
temperature every five minutes and send an AWS
Lambda to AWS IoT Greengrass
• Rules defined in AWS IoT Things Graph signal
whether the temperature from the sensor is safe
or unsafe, and then the crane displayed is updated
to indicate its status while simultaneously updating
the cloud
• AWS IoT Things Graph has allowed connections
between devices and rules of their relationships to
be built intuitively and visually instead of through
abstract coding

27. Demo

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AWS IoT Things Graph business value
• AWS IoT Things Graph enabled the modeling AND deployment of the flow in a
remarkably short amount of time compared to traditional ad hoc solutions.
• With its intuitive drag-and-drop GUI, the AWS IoT Things Graph implementation
was simple to explain to team members and showcase to management
• The AWS IoT Things Graph ease of use opens up the opportunity for
experimentation—just place event nodes and triggers, and you can develop a
flow for almost any situation and test for optimal performance

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Next steps
• Further steps to develop the AWS IoT Things Graph implementation could
include incorporating other device-monitoring solutions into the AWS IoT
Things Graph flow, such as monitoring
• Power draw
• Weight load
• Time of operation
• Outside of safety maintenance, AWS IoT Things Graph could be used to quickly
mock-up and deploy IoT solutions that keep track of equipment performance,
production levels, and downtime

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Resources
Where is the formal FAQ? https://aws.amazon.com/iot-things-graph/faqs/
How is AWS IoT Things Graph priced? https://aws.amazon.com/iot-things-graph/pricing/
Where is the documentation? https://docs.aws.amazon.com/thingsgraph/latest/ug/iot-tg-whatis.html
How can I quickly build device models? https://docs.aws.amazon.com/thingsgraph/latest/ug/iot-tg-models-
mod101.html
How can I quickly build service models? https://docs.aws.amazon.com/thingsgraph/latest/ug/iot-tg-models-
service101.html
Where can I find examples of public device and web service models?
https://docs.aws.amazon.com/thingsgraph/latest/ug/iot-tg-examples.html
Questions? Email aws-iot-things-graph@amazon.com

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Thank you!
S U M M I T © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.
Pushpak Pujari
pujaripp@amazon.com
Long Tran
Long.Tran@rsac.com