AWS IoT edge and device services make it easy to get started and scale quickly along with your business needs. Medical equipment, industrial machinery, building automation, and simple device to trigger services, are just a few physical-world use cases that are benefiting from elastic cloud computing while meeting the local execution requirements and real time responsiveness. This session covers the intersection between the device and cloud industries, and the way AWS and our customers will shape the future of those industries together. We will showcase how our customers are using AWS IoT Button, the IoT Device SDKs, and other AWS services to improve the existing business models, invent new way of working, and balance the benefits of the cloud services with the need for local execution.
8. Simplest way to build End-to-End Solutions
AWS IoT Button
Developers Enterprise Program
9. IoT Button Developers
companion mobile
apps
• Lambda “blueprints”
Learn more at https://aws.amazon.com/iotbutton
ORIGINAL IOT BUTTON ALL-NEW IOT BUTTON
Purchase now on Amazon.com Pre-order now, ships in Feb
$20 in AWS credits per account 2x the battery life (2,000 clicks)
10. Solutions at scale Introducing Enterprise Program
• Order IoT Buttons in bulk
• Custom branded label
• Pre-provisioned security
• Consultation on solution architecture
• Many use cases:
• Reorder
• Click to call
• Retail Operations
Sign up at https://aws.amazon.com/iotbutton/enterprise
21. Simulation Architecture
App Logic to
Determine Value
AWS Lambda
Invoke Lambda Function
rule
AWS IoT
Publish to IoT topic
topic
Publish Value to
Separate IoT Topic
topic
App Responds to
Topic Update
25. Get started quickly Building & Connecting your devices
Starter Kits
Powered by AWS
• Wide variety of starter kit
platforms to choose from
• Powered by AWS – connect
to AWS IoT out of the box
IoT SDKs
• Makes connecting to the
cloud easy
• Support for 7 languages
and mobile platforms
26. Powered By AWS Rich ecosystem of partners’ starter kits
Learn more at https://aws.amazon.com/iot/getting-started/
33. Many applications require
edge compute
• Local timely decision making
• Privacy/regulatory requirements
• Functionality without connectivity
AWS Greengrass
Why it matters
34. • Build into devices or install later
• Manage and deploy from AWS console
• Common programming model
• Security and access
• Local logic execution and local messaging
• State sync with the cloud
AWS Greengrass
How it works
Balance the benefits of the cloud with the need for local execution
Sign up at https://aws.amazon.com/greengrass
36. • First utility in the world
to roll out smart
meter technology
• 38 million European
customers with smart
meters
• e-goodlife offers
modular energy, home,
life, and news features
e-goodlife Smart Home
A smart home that recognizes your habits
and responds to your every command.
Built around a set of devices:
Box App Devices
37. e-goodlife high level architecture
Devices Box Cloud
Modular
functionality
Elastic
compute and
storage,
analytics and
advanced
applications
Local
execution,
storage,
messaging
and security
LAN WAN
38. Greengrass lets e-goodlife deploy cloud-
powered intelligence into the home
Latency and Availability Some actions no longer
require round-trip to cloud
Reliable Interaction Fall-back to local execution
when cloud is not available
</> Convenience Easier to troubleshoot
customers’ connectivity issues
Lower Cost for Everyone Filter and aggregate data in
the home before uploading
41. Intelligence at the Network Edge
Decision making at the point of data collection is key for Smart Cities & IIOT
Rapid response
and local
actuation
requirements
Trends Driving
Edge Analytics
Exponential growth
in data – cost
prohibitive to send
all data to the
cloud
Increased processing,
machine learning &
storage capability at
the edge
Sensor Edge Network Edge Cloud Cloud/Backend Services
Edge / Industrial
Gateway
Communications
Infrastructure
Data Center /
Cloud
Qualcomm Technologies
connectivity compute &
machine learning
Qualcomm® Snapdragon™ is a product of Qualcomm Technologies, Inc.
AWS
Greengrass
42. Edge Intelligence Use Case
Occupancy Detection Problem
~1 KB
IP CAMERA
18MB/min
Cloud
3 of 12
5 MP JPG1001
every 5s
for 1 min
Cloud
3 of 12
~1 KB
Client App
3 of 12
People
on bus
~1 KB
1JPG Size Source: forret.com. 2Server Pricing Source: aws.amazon.com. Cellular Data Pricing Source: verizonwireless.com.
Client App
3 of 12
People
on bus
~$1000/day2
For 20-bus fleet
~$1/day2
For 20-bus fleet
43. 4343
AWS Greengrass On Edge
Platforms from Qualcomm
Technologies
• Get the benefits of Edge Intelligence
and ease of implementation
– Augments the compute capability of
constrained edge devices
– Enhances system security and reliability
– Addresses common issues such as
privacy, data cost, latency and
heterogeneous connectivity at the edge
44. Facilities Management Use Case
See demo at:
• Qualcomm - Booth #2720 (Venetian/Sands)
• Solstice – Kiosk #2 (Terry Fator Theater Foyer @ Mirage)
in collaboration with