In diesem Vortrag geht es um diese IoT-Themen: Sicheres Verbinden von Maschinen, Sensoren und Aktoren mit der Cloud und Kommunikation aus der Cloud Wie stimmen sich Netze und Komponenten miteinander ab? Wie können Komponenten die Cloud benutzen selbst wenn diese nicht ständig online sind? Informieren Sie sich jetzt über das kostenlose Nutzungskontingent von AWS: http://amzn.to/1Qh9stj

1. © 2015, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Jan Metzner
Solutions Architect Mobile/IoT EMEA, Amazon Web Services

2. Welche Themen werden wir in diesem Webinar behandeln?
• Sicheres Verbinden von Maschinen, Sensoren und
Aktoren mit der Cloud und Kommunikation aus der
Cloud
• Wie stimmen sich Netze und Komponenten
miteinander ab?
• Wie können Komponenten die Cloud benutzen selbst
wenn diese nicht ständig online sind?

3. Internet of Things journey
Increasing
Reach
Increasing
Value
Op2mizing
Performance
Autonomous
functionality

4. AWS customers are connecting physical things to the cloud in every industry
imaginable.
Healthcare and Life Sciences Municipal Infrastructure Smart Home Retail
Manufacturing, Logistics & Supply
Chain
Agriculture Education Automotive

5. Two Area of focus for IoT
Connecting Devices To The Cloud
Big Data and Applications

6. • Easily and securely connect
devices and cloud
applica2ons to one another
• Easily manage rela2onships
and data between devices
• Let devices act even without
connec2vity and use the
cloud opportunis2cally
Two Area of focus for IoT
Connecting Devices To The Cloud
Big Data and Applications

7. • Easily and securely connect
devices and cloud
applica2ons to one another
• Easily manage rela2onships
and data between devices
• Let devices act even without
connec2vity and use the
cloud opportunis2cally
Two Area of focus for IoT
• Ingest, process and analyze
massive amounts of data
rapidly and economically.
• U2lize machine learning to let
devices get smarter over 2me
• Extend the onboard
capabili2es of physical
products with cloud resources
Connecting Devices To The Cloud
Big Data and Applications

8. AWS IoT is a fully managed cloud platform that lets connected
devices easily and securely interact with cloud applications and other
devices.
Extract and filter data from your
devices and take action with
custom rules
Securely connect and manage
any physical device across
multiple networks and protocols
Create web and mobile
applications that interact with
devices reliably at any time
Device SDK
Device Security and
Policy Management
Device Gateway Registry Rules Engine Shadow

9. Increase the Value of a Product Over Time with Data
Telemetry and Usage Data Data Filtering and Routing Rules
Ordered Stream to Amazon
Kinesis Firehose
Storage and Offline Analysis
Online Monitoring
Customization, New Capabilities

10. Building Blocks for Innovation in IoT

11. DEVICE SDK
Set of client libraries to
connect, authenticate and
exchange messages
DEVICE GATEWAY
Communicate with devices via
MQTT and HTTP
AUTHENTICATION
Secure with mutual
authentication and encryption
RULES ENGINE
Transform messages
based on rules and
route to AWS Services
AWS Services
- - - - -
3P Services
SHADOW
Persistent thing state
during intermittent
connections
APPLICATIONS
AWS IoT API
REGISTRY
Identity and Management of
your things
AWS IoT: How it Works

12. AWS IoT Security: Authentication and
Authorization
AUTHENTICATION
Secure with mutual
authentication and encryption
AUTHENTICATION
AUTHORIZATION
Secure with mutual
authentication and encryption

13. Security and Authentication/ Authorization
Secure Communications with Things
- Single API call to
CreateKeysAndCertificate()
- Client Generated
CreateCertificateFromCSR(CSR)
Fine-grained Authorization for:
Thing Management
Pub/Sub Data Access
AWS Service Access
AUTHENTICATION
AUTHORIZATION
Secure with mutual authentication
and encryption

14. One Service, Two Protocols
MQTT + Mutual Auth TLS AWS Auth + HTTPS
Server Auth TLS + Cert TLS + Cert
Client Auth TLS + Cert AWS API Keys
Confidentiality TLS TLS
Protocol MQTT HTTP
Identification AWS ARNs AWS ARNs
Authorization AWS Policy AWS Policy
NDA

15. Demo connect to AWS IoT

16. AWS IoT Rules Engine
RULES ENGINE
Transform messages
based on rules and
route to AWS Services

17. AWS IoT Rules Engine
Complex Evaluations
Respond to the fleet, not just a single
unit. Dozens of functions() available
Multiple / Simultaneous Actions
Sometimes a situation requires you to
take many actions
Simple & Familiar Syntax
- SQL Statement to define topic filter
- Optional WHERE clause
- Advanced JSON support
SELECT * FROM ‘things/thing-2/color’ WHERE color = ‘red’!

18. AWS IoT Rules Engine Actions
RULES ENGINE
Transform messages
based on rules and
route to AWS Services
AWS Services
- - - - -
3P Services
AWS Services
- - - - -
3P Services

19. 1. AWS Services
(Direct Integration)
Rules Engine
Actions
AWS IoT Rules Engine
LambdaSNS SQS
S3 KinesisDDB RDS
Redshift
Glacier
EC2
3. External Endpoints
(via Lambda and SNS)
2. Rest of AWS
(via Kinesis, Lambda,
S3, and more)

20. AWS IoT Rules Engine & Amazon SNS
Push Notifications
Apple APNS Endpoint, Google GCM Endpoint, Amazon ADM Endpoint, Windows
WNS
Amazon SNS -> HTTP Endpoint (Or SMS or Email)
Call HTTP based 3rd party endpoints through SNS with subscription and retry support
SNS
2

21. AWS IoT Rules Engine & Stream Data
N:1 Inbound Streams of Sensor Data (Signal to Noise Reduction)
Rules Engine filters, transforms sensor data then sends aggregate to Amazon Kinesis
Kinesis Streams to Enterprise Applications
Simultaneously stream processed data to databases, applications, other AWS
Services
Ordered Stream

22. AWS IoT Rules Engine & Stream to Store
Ordered Stream
Amazon Kinesis
Firehose
Amazon S3
Storage
N:1 Inbound Streams of Sensor Data (Signal to Noise Reduction)
Rules Engine filters, transforms sensor data then sends aggregate to Amazon Kinesis Firehose
Kinesis Streams to Amazon S3 as flat Files or directly to Amazon Redshift

23. AWS IoT Rules Engine & Stream to Store
N:1 Inbound Streams of Sensor Data (Signal to Noise Reduction)
Rules Engine filters, transforms sensor data then sends aggregate to Amazon Kinesis Firehose
Kinesis Streams to Amazon S3 as flat Files or directly to Amazon Redshift
Ordered Stream
Amazon Kinesis
Firehose
Amazon
Redshift

24. AWS IoT Rules Engine for Machine Learning
Anomaly Detection
Amazon Machine Learning can feed predictive evaluation criteria to the Rules Engine
Continuous Improvement around Predication
Continuously look for outliers and re-calibrate the Machine Learning models
Amazon
Lambda
Amazon
Machine
Learning
prediction

25. Demo Integrate additional Services

26. AWS IoT Thing Shadow
THING SHADOW
Persistent thing state
during intermittent
connections
SHADOW
Persistent thing state
during intermittent
connections
APPLICATIONS

27. AWS IoT Thing Shadow
Shadow
Thing
Report its current state to one or multiple
shadows
Retrieve its desired state from shadow
Mobile App
Set the desired state of a device
Get the last reported state of the device
Delete the shadow
Shadow
Shadow reports delta, desired and reported
states along with metadata and version

28. AWS IoT Shadow Flow
Shadow
Device SDK
1. Device Publishes Current State
2. Persist JSON Data Store
3. App requests device’s current state
4. App requests change the state
5. Device Shadow sync’s
updated state
6. Device Publishes Current State
7. Device Shadow confirms state change
AWS IoT

29. AWS IoT Registry
THING REGISTRY
Identity and Management of
your things
REGISTRY
Identity and Management of
your things

30. AWS IoT Registry
Cloud alter-ego of a physical device.
Persists metadata about the device.
• key: value
• Firmware version
• Serial Numbers
• Support and Maintenance
• Reference Manual URL
• Part # reference
• Reference to external support system

31. AWS IoT
DEVICE SDK
Set of client libraries to
connect, authenticate and
exchange messages
MESSAGE BROKER
Communicate with devices via
MQTT and HTTP
AUTHENTICATION
AUTHORIZATION
Secure with mutual
authentication and encryption
RULES ENGINE
Transform messages
based on rules and
route to AWS Services
AWS Services
- - - - -
3P Services
SHADOW
Persistent thing state
during intermittent
connections
APPLICATIONS
AWS IoT API
REGISTRY
Identity and Management of
your things

32. Simple Pay as you go and Predictable Pricing
• Pay as you go. No minimum fees
• $5 per million messages published to, or delivered
in US East (N. Virginia), US West (Oregon), EU
(Ireland) $8 in Asia Pacific (Tokyo)
AWS IoT
Free Tier
250,000 Messages Per Month Free for first 12
Months

33. Pricing Example
100 sensors * 30 days
* 24 hours * 60
minutes =
4.38 million messages
1 meter * 100 readings * 30
days * 24 hours * 60 minutes
=
4.38 million messages
100 Sensors:
Publishing 1x/minute
DynamoDB Table: Receives all Sensor Data
Metering Unit: Receives all Sensor Data
1 table * 100 readings * 30
days * 24 hours * 60 minutes
=
4.38 million messages
4.38 million publishes from sensors: 4.38 * $5 = $21.90
4.38 million deliveries to a metering unit: 4.38 * $5 = $21.90
4.38 million deliveries to DynamoDB: $0
AWS IoT

34. Get Started with AWS IoT Device SDK
C-SDK
(Ideal for embedded
OS)
JS-SDK
(Ideal for Embedded
Linux Platforms)
Arduino Library
(Arduino Yun)
Mobile SDK
(Android and iOS)

35. Official IoT Starter Kits, Powered by AWS

36. Official IoT Starter Kits on Variety of Platforms
Broadcom WICED
BCM4343W
On Threadx/Netx
Marvell
EZConnect
MW302
On FreeRTOS
Renasas RX63N
On Micrium OS
TI CC3200
On TI-RTOS
Microchip WCM
PIC32 Platform
Intel Edison
on Yocto Linux
Mediatek
LinkOne
on Linkit OS
Dragonboard
410c on
Ubuntu
Seeeduino
Arduino on
openWRT
Beaglebone
Green on
Debian

37. © 2015, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Thank You
Jan Metzner @janmetzner