This session can help you better understand how to leverage different AWS services to build an IoT application. Learn the value of each AWS service in the Internet of Things (IoT) category, as we go through different use cases that demonstrate how the services are better together. NASA/JPL illustrate those concepts by discussing the inner workings of a demonstration they’ve built. They also talk about how they use IoT to overcome their technical challenges.

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The IoT Offering Explained in
Plain English
IOT 201
T o m S o d e r s t r o m - N A S A / J P L - I T C h i e f T e c h n o l o g y a n d I n n o v a t i o n O f f i c e r
M i k C o x - N A S A / J P L - T e a m L e a d f o r I n t e r n e t o f T h i n g s
B r e t t F r a n c i s - A W S - P r i n c i p a l T e c h n i c a l P r o g r a m M a n a g e r
M i c h a e l G a r c i a - A W S - S e n i o r T e c h n i c a l P r o g r a m M a n a g e r
1 1 / 3 0 / 2 0 1 7
AWS re:INVENT

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What you will learn
• Discover AWS Internet of Things use-case categories
• Understand why each IoT service exists and how they fit together
• Learn about use cases and IoT applications in use at NASA/JPL
• See IoT in action (Demo)

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What we’ve seen this past year
Internet
of
Things
Serverless
Artificial
Intelligence

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What we’ve seen this past year

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Why are customers building IoT solutions?
Revenue Growth
IoT data drives business growth Operational Efficiency
IoT data improves OpEx efficiency
New services &
business models
Products that get
better with time
Better relationship
with customers
Increased
efficiency
Intelligent
decision making
Data driven
discipline

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In what categories are customers?
IoT customers
Consumer Commercial Industrial

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IoT solutions are complex and multidimensional
Connecting,
communicating,
securing
Devices &
sensors
Infrastructure
providers,
building blocks
Connectivity &
infrastructure
Incisive,
actionable,
predictive
Analytics
& insights
Engage,
empower,
delight
Applications
& services
Business
transformation,
cultural change
Change
management

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Devices
and sensors
• GPS, RPM, speed, tire pressure, …
• CANbus, ODB2, J1939, …
Connectivity
and infrastructure
• Telco (2G>5G, NB-IoT,…)
• Satellite
Connected transport
Key dimensions

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Devices
and sensors
• Video Streaming, voltage, amperage,
temperature, smoke, …
• BACnet, Modbus,…
Connectivity
and infrastructure
• Ethernet
• WiFi, ZigBee, Z-Wave, …
Connected spaces
Key dimensions

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IoT use-case categories
Connected Home
Connected
Buildings
Connected Cities
Connected
Spaces
Connected Vehicle
Connected Fleet
Connected Transit
Connected Insurance
Connected Freight
Connected
Transport
Connected
Manufacturing
Connected Asset Mgmt
Connected Worker
Connected Agriculture
Connected Energy
Generation
Connected
Operations
Remote Patient
Monitor
Wellness & Prevention
Connected Pharma
Intelligent Health
Connected
Health
IoT Payment &
Data Security
Connected Contextual
Commerce
Connected
Commerce

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What are the Three pillars of IoT?
Devices
Sense & Act
Cloud
Storage & Compute
Intelligence
Insights & Logic → Action

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What are the Three pillars of IoT?
Cloud
Storage & Compute
Intelligence
Insights & Logic → Action
Devices
Sense & Act
AWS IoT
Core
AWS
Greengrass

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AWS IoT
1-Click
What are the Three pillars of IoT?
Cloud
Storage & Compute
Intelligence
Insights & Logic → Action
Devices
Sense & Act
AWS IoT
Core
AWS
Greengrass
AWS IoT
Analytics
Amazon
FreeRTOS
AWS IoT
1-Click
AWS IoT Device
Management
AWS IoT
Device
Defender
AWS IoT
1-Click

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Using Personas as a Map
Operations
Analyst
Fleet
Manager
Device
Engineer
Security
Engineer
Cloud
Developer

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Who is the Device Engineer?
Primary Goal
Write, test, and fix code that will live in
physical devices, specifically microcontrollers
and gateways.
• Embedded programming
• Hardware
• Security
Skills

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Amazon FreeRTOS
Amazon
FreeRTOS
Secure
Updateability
Security
libraries
Local/Cloud Connectivity
libraries
Based on
FreeRTOS Kernel

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Architecture
Amazon
FreeRTOS
Microcontroller
Amazon
FreeRTOS
Microcontroller
AWS
Greengrass
Gateway
AWS IoT
Core

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Who is the Fleet Manager?
Primary Goal
Keep all devices updated and running smoothly,
while minimizing the risk of bricking entire
groups of devices and damaging our brand.
• Cloud Programming
• Scripting
Skills

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AWS IoT Device Management
AWS IoT Device
ManagementReal-time fleet index
& search
Fine grained job manager
(Over the air updates, device
monitoring & logging)
Batch fleet provisioning

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Architecture
Amazon
FreeRTOS
Microcontroller
Amazon
FreeRTOS
Microcontroller
AWS
Greengrass
Gateway
AWS IoT
Core
AWS IoT
Device
Management

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Who is the Data Analyst?
Primary Goal
Produce reports and dashboards for my leadership
team that contain visualization. Run ad hoc
analyses to get quick answers to hard questions.
• Manipulate Business Analytics tools and
visualize data
• Use scientific & statistical computing
tools, SQL queries, and scripts for
complex, ad hoc analyses.
Skills

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AWS IoT Analytics
Integrated with AWS
Services for visualization
and analysis
AWS IoT
Analytics
Data filtering, pre-
processing and
enrichment
Fully managed storage
(raw and structured)
IoT data collection from
multiple sources

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Architecture
Amazon
FreeRTOS
Microcontroller
Amazon
FreeRTOS
Microcontroller
AWS
Greengrass
Gateway
AWS IoT
Core
AWS IoT
Analytics
AWS IoT
Device
Management

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Who is the Security Engineer?
Primary Goal
Manages security mechanism end to end
starting at the hardware level up to business
application users.
• AWS Services (IAM + IoT policies)
• Security libraries
• Security tools
Skills

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AWS Device Defender
AWS IoT Device
Defender
Mitigate by
taking actions
Identify anomalies
Generate alerts
Monitor device behaviors
and configurations

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Who is the Cloud Developer?
Primary Goal
Creates IoT applications that can be accessed
through web/mobile. Offers high value
services on top of IoT systems.
• Frontend programming
• Backend programming
• Serverless
Skills

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AWS IoT 1-Click
AWS IoT
1-Click
Create applications
using AWS Lambda
Securely connects to
the Cloud
Fleet identification
and reporting
Ready out-of-the-box
hardware

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IoT services on AWS - Better together
Serverless Artificial
Intelligence
Internet
of
Things
AWS
Lambda
Amazon
Kinesis
Amazon
Athena
Amazon
QuickSight
Amazon Lex Amazon
Polly
Amazon
Rekognition
Amazon
Machine Learning
Amazon
Cognito
AWS
Device Farm
Amazon API
Gateway
Amazon
Pinpoint

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IOT @NASA/JPL
Tom Soderstrom-NASA/JPL-IT Chief Technology and Innovation Officer
Mik Cox-NASA/JPL-Team Lead for Internet of Things
1 1 / 3 0 / 2 0 1 7

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Can we find
Earth 2.0?
How do we answer the BIG questions?
Are we alone?
How do we protect
Mother Earth?
How do we divert
an asteroid?
Is/was there life
on Mars?
How did the Universe
form and where is it
going?
T

31. JPL/Caltech PROPRIETARY—Not for Public Release or Redistribution
31
Three major entry points for our Interstellar Network of Things
Goldstone
Canberra
Madrid
Deep Space Network (DSN)

32. JPL/Caltech PROPRIETARY—Not for Public Release or Redistribution
32
We have 17 Spacecraft and 8 instruments across
the solar system and beyond
Earth Science
• MARSIS
(2003)
Instruments
• MISR • AIRS • TES • MLS • ASTER • OPALS •
RapidScat
(1999) (2002) (2004) (2004) (2009) (2014) (2014)
Planetary
Two Voyagers
(1977)
Mars Odyssey (2001)QuickSCAT (1999) Jason-2 (2008)
Curiosity (2011) NuSTAR (2012) OCO-2 (2014) SMAP (2015) Jason-3 (2016)Juno
(2011)
Opportunity (2003)
Mars Reconnaissance
Orbiter (2005)
Spitzer (2003) CloudSat (2006) Dawn (2007) NEOWISE
(2009)

33. JPL/Caltech PROPRIETARY—Not for Public Release or Redistribution
33
And we are putting more “things” into this Interstellar Network
COSMIC-2
April – June 2018
GRACE-FO
March 2018
InSIGHT
May 2018
MarCo
May 2018
SWOT 2021 Europa Clipper 2022 WFIRST 2022
Cold Atom Lab
February 2018
OCO-3
Spring 2018
Mars 2020
NISAR 2021
ECOSTRESS
June 2018
Mars Helicopter
2020
PSYCHE 2022
RainCube
Spring 2018
TEMPEST
Spring 2018

34. Participate at
eyes.nasa.gov/DSN Thttps://deepspace.jpl.nasa.gov/files/dsn/DSN%20Current%20Mission%20Set%207_28_15.
pdf

35. An example: NASA’s next mission to
Mars

36. Changing needs
require technology disruptions
which allows us influence the influencers
and gain early benefits for JPL.
How? Surf the most important technology waves
How can we infuse emerging technologies at JPL

37. A Vision of How We Will Work
Leverages IOT, Programming, Smart Data, Cloud, and Artificial Intelligence, which can evolve at
different cadences
Data Lake
Cloud
(Data
Exchange)
Lights
Open
Source
APIs
(Registry)
Sensors and
Devices
(IoT)
Hue
Intel
RealsenseMetadata
Gesture
Voice
Eyes
Mouse,
Keyboard
Alexa,
Siri
Function
Technology
TBD
Click
Sentiment
Brain
AI / Machine Learning
Intelligent
Assistance
(IA)
Deep Learning

38. The next major technology
waves
Participate at: techwaves@jpl.nasa.gov or https://goto.jpl.nasa.gov/techwaves
Ubiquitous
Computing
Software
Defined
Everything
Accelerated
Computing
Cyber Security
Challenges
New
Habits
Applied AI
Build in
intelligence
everywhere

39. How can the next generation of explorers stand on the shoulders of giants?

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Facilities IoT Intuitive Experiences Case Study: Acquisition
Intelligent Assistant
Daring Mighty Things
IoT at JPL

41. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Facilities IoT Intuitive Experiences Case Study: Acquisition
Intelligent Assistant
Daring Mighty Things
IoT at JPL

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What did we learn?
Booked conference rooms went unused ~30% of the
time
M o n i t o r i n g & S t r e a m l i n i n gS m a r t I n - R o o m C o n t r o l
Facilities 1: Conference Room

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Facilities 1: Conference Room
AWS
Lambda
AWS IoT
Answering
Service
Device
Controllers
Calendar
System
Amazon
RDS
Amazon
DynamoDB

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Facilities 2: Intelligent, Safe Machining
• Lots of machine shops at JPL
• Range from hand saws to drill presses to
table saws to huge CNC machines
• Potential for being dangerous
• Wish to:
• Monitor usage
• Provide safest, most useful
workbenches and tools
• Limit access to trained individuals
Today: Soon:

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Facilities 2: Intelligent, Safe Machining
AWS IoT
Query
Service
Safety
Database
Amazon
S3

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Facilities 3: Parking
Inductive sensors at major
entrances/exits
First step: measure
No extensive backend yet,
but building it modular

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Facilities IoT Intuitive Experiences Case Study: Acquisition
Intelligent Assistant
Daring Mighty Things
IoT at JPL

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Intuitive Experience: “Data Wall”

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Intuitive Experience: “Data Wall”

50. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Intuitive Experience: “Data Wall”
AWS
Lambda
AWS IoT
Answering
Service
Internal
Databases
Applications
(web & native)
Firewall

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Intuitive Experience: Informational NFC
Tags
NFC
Amazon
S3

52. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Facilities IoT Intuitive Experiences Case Study: Acquisition
Intelligent Assistant
Daring Mighty Things
IoT at JPL

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JPL’s Acquisition Intelligent Assistant
100s of
Acquisition
Professionals
Dozens of
Data
Sources
Trillions of
Records

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JPL’s Acquisition Intelligent Assistant
Vision: A trusted digital assistant
that is working alongside the user
and transforming digital data into
valuable information and effective
decisions.

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JPL’s Acquisition Intelligent Assistant
The Experiment:
Create a proof of concept using an intuitive
interface into existing Acquisition data in order to
improve efficiency, reduce training time, and
increase job satisfaction

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JPL’s Acquisition Intelligent Assistant
Custom Alexa
Skill
The Experiment:

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JPL’s Acquisition Intelligent Assistant

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JPL’s Acquisition Intelligent Assistant

59. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
JPL’s Acquisition Intelligent Assistant

60. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
JPL’s Acquisition Intelligent Assistant

61. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
JPL’s Acquisition Intelligent Assistant
AWS
Lambda
AWS IoT
Answering
Service
Internal
Databases
Applications
(web & native)
Companion
App
Amazon API
Gateway
Amazon
RDS
Acquisition
Professionals
IA Developer

62. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Facilities IoT Intuitive Experiences Case Study: Acquisition
Intelligent Assistant
Daring Mighty Things
IoT at JPL

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Last Year:

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This Year:

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JPL’s Open Source Rover & “Robotic
Swarm” Greengrass
Core
Amazon FreeRTOS Amazon FreeRTOSAmazon FreeRTOS
Greengrass-Aware
Device

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THANK YOU!
I O T 2 0 1 - T h e I o T O f f e r i n g E x p l a i n e d i n P l a i n E n g l i s h