An Introduction to IoT Learn how to deploy and securely manage IoT devices at scale, including low-powered and edge devices, and to gather intelligence from device behavior using advanced analytics, as well as how to architect scalable and secure IoT solutions on the AWS Cloud. IoT is rapidly emerging with the number of connected devices globally already in the billions and growing quickly. Understanding how to plan and build solutions to ingest and manage all these devices and data is key to your organizations success. This session was presented in Australia and New Zealand in Augsut 2018.

1. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark
Craig Lawton, IoT Specialist Architect, A/NZ Public Sector
An Introduction to IoT
August 2018

2. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark
A journey through IoT
• A button
• Something even smaller
• Long range and low power
• A fleet
• Security
• Some interesting use-cases

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Revenue growth
IoT data drives business growth
Operational efficiency
IoT data decreases OpEx
Business outcomes with IoT
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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Connect,
communicate,
secure
IoT solutions are complex & multidimensional
Onboard,
provision,
manage
Devices &
sensors
Connectivity &
infrastructure
Analyze,
visualize,
act
Analytics
& insights
Engage,
empower,
delight
Applications
& services
Transform,
shift culture
Change
management

5. AWS IoT Architecture
Endpoints
Fleet onboarding,
management and
SW updates
Fleet
audit and
protection
IoT data
analytics and
intelligence
Gateway
Things
Sense & Act
Cloud
Storage & Compute
Secure local
triggers, actions,
and data sync
Intelligence
Insights & Logic → Action
Secure device
connectivity
and messaging

6. AWS IoT Architecture
Secure device
connectivity
and messaging
Endpoints
Fleet onboarding,
management and
SW updates
Fleet
audit and
protection
IoT data
analytics and
intelligence
Things
Sense & Act
Cloud
Storage & Compute
Secure local
triggers, actions,
and data sync
AWS IoT Core
Gateway
AWS
Greengrass AWS IoT Device
Management
AWS IoT
Device
Defender
Intelligence
Insights & Logic → Action
a:FreeRTOS
a:FreeRTOS
AWS IoT
Analytics

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To securely connect devices
to the AWS cloud and
other devices at scale
To fully integrate with
other AWS service to reason
on top of the data
(Analytics, Databases, AI, etc.)
To route, process, and
act upon data from
connected devices
Secure Device Connectivity and Messaging
AWS IoT Core
AWS IoT Core is a managed service that lets connected devices easily
and securely interact with cloud applications and other devices.
To enable applications to
interact with devices
even when they are
offline

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Secure Device Connectivity and Messaging
AWS IoT Core
Device
Gateway
Rules
Engine
Message
Broker
Device
Shadow
RegistryIdentity
Service

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• New Generation iRobot
Devices Powered By AWS IoT
• Control & Telemetry
• Replaces A Home Grown
Solution
• Backbone For Alexa Skills and
Mobile Apps

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PetaBencana brings
mobile mapping and
flood information; 28
million citizens share
information via Twitter,
augmented by water-
level-sensing devices.

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A button

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AWS
IoT
Core

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Authentication
and
authorization

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Device
gateway

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MQTT topics
home/ac/AAA/temperature
home/ac/BBB/temperature
home/ac/CCC/temperature
home/ac/DDD/temperature
Device: AAA
Device: BBB
Device: CCC
Device: DDD

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Rules
engine

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Format of an AWS IoT SQL statement
SELECT—What values to include for action
FROM—What topic structure to act upon
WHERE—Logic to determine if the statement should execute
SELECT *, timestamp() as timestamp
FROM pws/#
WHERE temp > 30

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IoT Operating System for Microcontrollers
Something even smaller
Amazon FreeRTOS, based on the popular FreeRTOS, is a microcontroller
operating system that makes small, low powered edge devices easy to
program, deploy, secure, connect, and maintain.

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Will it work on my chip? Does it have the
functionality I need?
How do I start?Where do I get it?
1010101101
0101110101
1010101010
1010010101
0101001010
0101010111
0101011001
1001011001
00101101
?
IoT Operating System for Microcontrollers
Amazon FreeRTOS
Amazon FreeRTOS, based on the popular FreeRTOS, is a microcontroller
operating system that makes small, low powered edge devices easy to
program, deploy, secure, connect, and maintain.

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EMBEDDED APPS
FreeRTOS
HW DRIVERS
SECURTIY
LIBRARIES
CONNECTIVITY
LIBRARIES
OVERTHAAIR
(OTA)AGENT
CLOUD&
GREENGRASS
LIBRARIES
HELLO
Amazon FreeRTOS
Will it work on my chip? Does it have the
functionality I need?
How do I start?Where do I get it?
IoT Operating System for Microcontrollers
Amazon FreeRTOS, based on the popular FreeRTOS, is a microcontroller
operating system that makes small, low powered edge devices easy to
program, deploy, secure, connect, and maintain.

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Local Connectivity
Libraries
Cloud Connectivity
Libraries
Security
Connectivity
Libraries
OTA Beta &
Code Signing
Based on FreeRTOS kernel
AWS Greengrass AWS IoT Core
IoT Microcontroller OS
Amazon FreeRTOS

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Long range
and low
power

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IoT Networks

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IoT Networks
LAN Mobile/Cellular
Low-powered WAN
(LPWAN)
Data Rate <100mbps <100mbps <10kbps
Range Short Long Long
Battery Life Ok Short Long
Cost Expensive Expensive Efficient
Examples Smart TV, WIFI CCTV, Smart Grid
Weather, Parking,
Metering

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Comparing LPWANs
Sigfox LoRaWAN NB-IoT
Frequency Unlicensed ISM Unlicensed ISM Licensed LTE
Max data rate 100 bps 50 kbps 200 kbps
Bidirectional Limited / Half-duplex Yes / Half-duplex Yes / Half-duplex
Max messages/day 140 (UL), 4 (DL) Unlimited Unlimited
Max payload length 12 bytes (UL), 8
bytes (DL)
243 bytes 1600 bytes
Range 10 - 40 km 5 - 20 km 1 -10 km
Standardization Sigfox company LoRa-Alliance 3GPP

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LoRa and LoRaWAN

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AWS & LoRaWAN Integration

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LoRaWAN Demo
LoRaWAN device:
• A LoPy4 running
MicroPython. (Pycom)
• A LoPy4 LoRa antenna
kit.
• a Pysense sensor shield
to provide sample
telemetry data.

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LoRaWAN Demo
LoRaWAN gateway
• A MatchX LoRaWAN
Gateway
• The Things Network
(TTN) – A world-wide
community based
LoRaWAN network
• Let’s try it…

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Device
shadow

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AWS IoT device shadow flow
1. Device publishes current state
2. Persist to JSON data store
3. App requests device’s current state
4. App requests change the state
5. Device shadow syncs
updated state
6. Device publishes current state 7. Device shadow confirms state change

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A fleet

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https://aws.amazon.com/answers/iot/iot-device-simulator/
AWS IoT device simulator quickstart

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How can I
manage my
growing number
of connected
devices?

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Fast device
onboarding at scale
Real-time fleet
indexing and search
Monitoring and
updating devices
AWS IoT Device Management
Device Management Service
AWS IoT Device Management helps you onboard, organize, monitor,
and remotely manage your growing number of connected devices.

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Batch Fleet
Provisioning
Real-time
Fleet Index & Search
Fine Grained
Device Logging
& Monitoring
Over the
Air Updates
Maintain Fleet Health
AWS IoT Device Management
Workshop: https://github.com/aws-samples/aws-iot-device-management-workshop

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How do I ensure
my connected
devices stay
secure?

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Audit device
configurations, define and
monitor device behavior
Identify drifts in security
settings and detect device
anomalies
Generate alerts Patch security
vulnerabilities
AWS IoT Device Defender
Keep Your Fleet Secure
AWS IoT Device Defender is a fully managed IoT security service that
enables you to secure your fleet of connected devices on an ongoing basis.

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Audit Device
Configurations
Monitor Device
Behavior
Generate
Alerts
Patch Security
Vulnerabilities
AWS IoT Device Defender
Keep Your Fleet Secure
Identify
Anomalies

40. The Edge…….

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Where do I want to process data?
I n f r a s t r u c t u r e C l o u dP o PI o T E n d p o i n t G a t e w a y A p p l i a n c e
C o m m o n P r o g r a m m i n g M o d e l
O n b o a r d
A W S
C l o u d
L a m b d a
@ E d g e
A m a z o n
F r e e R T O S
G r e e n g r a s s

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A W S
C l o u d
G r e e n g r a s s
Where do I want to process data?
I n f r a s t r u c t u r e C l o u dP o PI o T E n d p o i n t G a t e w a y A p p l i a n c eO n b o a r d
A m a z o n
F r e e R T O S
L a m b d a
@ E d g e

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AWS Greengrass extends AWS IoT onto your devices, so that they can act
locally on the data they generate, while still taking advantage of the cloud.
Extend AWS IoT to the Edge
AWS Greengrass
Edge Cloud
Law of Economics
Law of Physics
Law of the Land

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Extend AWS IoT to the Edge
AWS Greengrass
Data and
State Sync
Security Over the
Air Updates
Protocol
Adapters
Local
Device Shadows
Local
Actions
Lambda
Functions
Local
Messages
and Triggers
Local
Message Broker
AWS-grade
security
Easily Update
Greengrass Core
Machine
Learning
Inference
Local Execution
of ML Models
Local
Resource
Access
Lambdas Interact
With Peripherals
Easy Integrations
With Local
Protocols
ʥ
A

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AWS GreenGrass - ML Inference
Edge Cloud
Machine
inference
Inference Training

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© 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved.
Example: AWS DeepLens
Model
AWS IoT
AWS Greengrass
Device Stream
Project Stream
(optional)
Scene
Device

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Problem
Nokia has seen a need in industrial IoT to
analyze video streams at the edge and send
the data to remote centers only when
anomalies are detected.
Solution
Deploying Greengrass on Nokia Multi-access
Edge Computing platform and combining
it with Nokia private mobile network
solutions. This joint solution will make
it possible for the oil industry to pair real
time drilling data with production data
of nearby wells.
Impact
Due to the cost of bandwidth being
expensive, this allows Nokia to optimize the
data that is sent to other wells and to the
cloud based on rules and alerts set up on
the locally-processed data.

48. Example: Autonomous Vehicle Sensor Technology
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LIDAR
Camera
GPS/HD Maps
Telematics Control Unit
Accelerometer/Gyroscope
Odometry
DSRC
Radar
Infrared
Ultrasonic

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Some popular IoT use cases
Predictive
maintenance
Predictive quality
(eg. Video Safety, Traffic analytics)
Asset condition
monitoring

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Predictive Maintenance
Pinpoint
AWS Greengrass
IoT Rule (all data)
S3 Data Lake
Amazon Kinesis Firehose
MES/SCADA
Protocol
conversion
Email
SMS
Factory Machines
Vision
Snowball
Kinesis
Analytics
Protocol
conversion
ML
Inference
Amazon
SageMaker
ML Models
Amazon QuickSight
Amazon Kinesis Streams
Kinesis
Firehose
IoT Anomaly
Data Repository
Amazon
Athena
Amazon
Athena
IoTRule(alerts)
Realtimeand
HistoricalVisualization
CloudWatch
Cognito
CloudTrail
config
IoT Cert
IAM
AWS IoT Core/AWS Greengrass/
AWS IoT Device Management/
AWS IoT Device Defender

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CloudWatch
Cognito
CloudTrail
config
IoT Cert
IAM
Predictive Maintenance with AWS IoT Analytics
Pinpoint
AWS Greengrass
IoT Rule (all data)
MES/SCADA
Email
SMS
Factory Machines
Vision
Protocol
conversion
Amazon
SageMaker
ML Models
Amazon QuickSight
AWS IoT AnalyticsIoTRule(alerts)
Jupyter Notebook
Anomalies
Protocol
conversion
ML
Inference
AWS IoT Core/AWS Greengrass/
AWS IoT Device Management/
AWS IoT Device Defender

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AWS IoT Analytics is a service that processes, enriches, stores, analyzes,
and visualizes IoT data for manufacturers and enterprises.
Analytics for IoT Devices
AWS IoT Analytics
IoT data is noisy
and contains gaps
and false readings
Filter, process,
transform, and enrich
your data
Ad-hoc queries
or sophisticated IoT
analytics and visualization
Store raw data and
processed data
0 1 0 1 0 1 0 1 0 1 0
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0 1 0 0 1 1 0 1 0 1 0
1 0 1 1 0 1 0 1 0 1 0
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1 0
ENRICHMENT10101 1 0 0 1 0
01010
01010
101001
1 0 1 0 1 1 0 1 0 1
0 1 0 1 0 1 0 1 0 1
0 1 0 1 0 0 1 0 1 0
0 1 0 1 0 1 0 1 0 1
1 0 1 0 1 0 1 0 1 0
1 0 1 0 1 1 0 1 0 1
0 1 0 1 0 1 0 1 0 1
0 1 0 1 0 0 1 0 1 0
0 1 0 1 0 1 0 1 0 1
1 0 1 0 1 0 1 0 1 0
1 0 1 0 1 1 0 1 0 1
0 1 0 1 0 1 0 1 0 1
0 1 0 1 0 0 1 0 1 0
0 1 0 1 0 1 0 1 0 1
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1 0 1 0 1 1 0 1 0 1
0 1 0 1 0 1 0 1 0 1
0 1 0 1 0 0 1 0 1 0
0 1 0 1 0 1 0 1 0 1
1 0 1 0 1 0 1 0 1 01 0 1 0 1 1 0 1 0 1
0 1 0 1 0 1 0 1 0 1
0 1 0 1 0 0 1 0 1 0
0 1 0 1 0 1 0 1 0 1
1 0 1 0 1 0 1 0 1 0
1 0 1 0 1 1 0 1 0 1
0 1 0 1 0 1 0 1 0 1
0 1 0 1 0 0 1 0 1 0
0 1 0 1 0 1 0 1 0 1
1 0 1 0 1 0 1 0 1 0
1 0 1 0 1 1 0 1 0 1
0 1 0 1 0 1 0 1 0 1
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1 0 1 0 1 1 0 1 0 1
0 1 0 1 0 1 0 1 0 1
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0 1 0 1 0 1 0 1 0 1
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1 0 1 0 1 1 0 1 0 1
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0 1 0 1 0 1 0 1 0 1
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1 0 1 0 1 1 0 1 0 1
0 1 0 1 0 1 0 1 0 1
0 1 0 1 0 0 1 0 1 0
0 1 0 1 0 1 0 1 0 1
1 0 1 0 1 0 1 0 1 0
0101001010
101001
1 0 1 0 1 1 0 1 0 1
0 1 0 1 0 1 0 1 0 1
1 0 1 0 1 0 1 0 1 0
1 0 1 0 1 1 0 1 0 1
0 1 0 1 0 1 0 1 0 1
0 1 0 1 0 0 1 0 1 0
0 1 0 1 0 1 0 1 0 1
1 0 1 0 1 0 1 0 1 0
1 0 1 0 1 1 0 1 0 1
0 1 0 1 0 1 0 1 0 1
0 1 0 1 0 0 1 0 1 0
0 1 0 1 0 1 0 1 0 1
1 0 1 0 1 0 1 0 1 0
1 0 1 0 1 1 0 1 0 1
0 1 0 1 0 1 0 1 0 1
0 1 0 1 0 0 1 0 1 0
0 1 0 1 0 1 0 1 0 1
1 0 1 0 1 0 1 0 1 0
0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0
1 0 1 0 1 0 1 0 1 0 1 1 0 1 0 1 0
1 0 0 1 1 0 1 0 1 0 1 0 1 1 0 1 0
1 0 1 0 1 1 0 1 0 0 1 1 0 0 1 0 0
1 0 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0
1 0 1 0 1 1 0 1 0 1 1 0 1 0 0 1 1
0 0 1 0 0 1 0 0 1 0 1 0 1 0 1 1 0
0 1 0 0 1 0 1 0 1 0 1 0 1 0 1 0 1
0 1 0 1 0 1 1 0 1 0 1 1 0 1 0 0 1
1 0 0 1 0 0 1 0 0 1 0 1

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Easily analyze IoT data
AWS IoT Analytics
Channels DatasetsPipelines Data Stores Jupyter Notebooks
& Templates
AWS IoT Analytics is a service that processes, enriches, stores, analyzes,
and visualizes IoT data for manufacturers and enterprises.

54. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark
Problem
Wärtsilä needed to accurately predict, when the
marine engines they manufactured needed to
get serviced. Understanding and predicting the
service schedule is vital for Wärtsilä to increase
their service and parts revenue.
Solution
Accenture worked with AWS account SAs, AoD
SAs, and Salesforce SAs to architect an IoT
solution using Salesforce and AWS IoT Core to
collect data and build predictive models. The
solution developed is scalable and extensible
beyond just this use case, as Wärtsilä has 14,000
ships with 35,000 engines installed. There are
great possibilities for sensor driven IoT use cases.
Impact
The entire solution should result in an increase
in parts/service sales for Wärtsilä and higher
customer retention.

55. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark
CloudWatch
Cognito
CloudTrail
config
IoT Cert
IAM
Predictive Quality Architecture
Pinpoint
AWS Greengrass
IoT Rule (all data)
S3 Data Lake
Amazon Kinesis Firehose
MES/SCADA
Protocol
conversion
Email
SMS
Factory Machines
Vision
Snowball
Kinesis
Analytics
Protocol
conversion
Amazon
SageMaker
ML Models
Amazon QuickSight
Amazon Kinesis Streams
Amazon
Kinesis Firehose
IoT Anomaly
Data Repository
Amazon
Athena
Amazon
Athena
IoTRule(alerts)
Realtimeand
HistoricalVisualization
S3
Analytics short term
data repository
AWS IoT Core/AWS Greengrass/
AWS IoT Device Management/
AWS IoT Device Defender

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AWS Snowball AWS Snowball Edge AWS Snowmobile
• 80TB storage capacity • 100TB storage capacity
• AWS Greengrass support for
local compute, messaging and
caching
• EC2/AMI support for edge
compute
• Exabyte-scale storage in a 45ft
container
• Dedicated security personnel
• GPS tracking, alarm monitoring,
24/7 surveillance, and optional
additional security
AWS Snow Family

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Service features
announced
• Support for EC2 sbe1 instances
• Three AMIs available on AWS
Marketplace
• SBE1 instances feature 1.8 GHz
Intel Xeon D processors, up to
24 vCPUs, 32 GiB of memory
• Up to 1TB disk volumes
• 1 and 3-year pricing options
EC2 Compute Instances on Snowball Edge
Supported EC2 instance sizes
Model vCPU Mem (GiB)
sbe1.small 1 1
Sbe1.medium 1 2
sbe1.large 2 4
sbe1.xlarge 4 8
sbe1.2xlarge 8 16
sbe1.4xlarge 16 32
Snowball
Edge

58. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark
CloudWatch
Cognito
CloudTrail
config
IoT Cert
IAM
Predictive Quality Architecture
Pinpoint
AWS Greengrass
IoT Rule (all data)
S3 Data Lake
Amazon Kinesis Firehose
MES/SCADA
Protocol
conversion
Email
SMS
Factory Machines
Vision
Snowball
Kinesis
Analytics
Protocol
conversion
Amazon
SageMaker
ML Models
Amazon QuickSight
Amazon Kinesis Streams
Amazon
Kinesis Firehose
IoT Anomaly
Data Repository
Amazon
Athena
Amazon
Athena
IoTRule(alerts)
Realtimeand
HistoricalVisualization
S3
Analytics short term
data repository
AWS IoT Core/AWS Greengrass/
AWS IoT Device Management/
AWS IoT Device Defender

59. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark
CloudWatch
Cognito
CloudTrail
config
IoT Cert
IAM
Predictive Quality Architecture with AWS IoT Analytics
Pinpoint
AWS Greengrass
IoT Rule (all data)
MES/SCADA
Protocol
conversion
Email
SMS
Factory Machines
Vision
Protocol
conversion
ML
Inference
ML Models
Amazon QuickSight
AWS IoT AnalyticsIoTRule(alerts)
Jupyter Notebook
Vision system
images
Amazon SageMaker/
Jupyter Notebook
Anomalies
AWS IoT Core/AWS Greengrass/
AWS IoT Device Management/
AWS IoT Device Defender

60. AWS IoT Architecture
Secure device
connectivity
and messaging
Endpoints
Fleet onboarding,
management and
SW updates
Fleet
audit and
protection
IoT data
analytics and
intelligence
Things
Sense & Act
Cloud
Storage & Compute
Secure local
triggers, actions,
and data sync
AWS IoT Core
Gateway
AWS
Greengrass AWS IoT Device
Management
AWS IoT
Device
Defender
Intelligence
Insights & Logic → Action
a:FreeRTOS
a:FreeRTOS
AWS IoT
Analytics

61. We build IoT solutions through our good friends
AWS Partner Ecosystem
System Integrators
Network
Connectivity
OEM/ ODM
ISVs
Silicon / Chipset / Module
AWS IoT building blocks
Things Cloud
Intelligenc
e Gateways

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Thank You!
Craig Lawton
IoT Specialist Architect, A/NZ Public Sector
Amazon Web Services
cclawton@amazon.com