The Internet of Things (IoT) is here today in the devices, sensors, cloud services, and data your business uses. Microsoft delivers a flexible cloud-based approach that enables enterprises to capitalize on IoT by gathering, storing, and processing data centrally. When centrally connecting distributed LoB assets, the edge of an enterprise’s infrastructure can be redefined, and the breadth of the Microsoft data platform can be harnessed. Join Richard Harbridge as you learn about Microsoft’s position on IoT, and the technology and services being delivered from Microsoft to help you create the Internet of Your Things.
3. WHAT WE WILL TALK ABOUT TODAY…
1.Why IoT Matters…
2.What is IoT?
3.IoT Challenges…
4.Microsoft’s IoT Investments…
5.IoT Scenarios…
4. WHAT WE WILL TALK ABOUT TODAY…
1.Why IoT Matters…
2.What is IoT?
3.IoT Challenges…
4.Microsoft’s IoT Investments…
5.IoT Scenarios…
5. 25 BILLION
Connected “things”
will be in use by 2020
Gartner
$7.2 TRILLION
worldwide market for IoT solutions
by 2020
IDC: Worldwide and Regional Internet of Things (IoT) 2014–2020 Forecast
Leading Industry examples: utilities, insurance, agriculture, factory,
automobiles, transport, consumer, etc.
SOME STATS…
7. We will see this space transform and take shape in the next few years.
IT’S STILL
IMPORTANT…
8. Command and control scenarios have much in common with parts of IoT…
IoT solutions worked for complex and expensive where the cost of a custom
Hardware/software solution is acceptable compared to the cost of the device.
IS THIS EVEN A
NEW THING?
9. For high-volume, homogeneous devices, where software needs are simple.
Thermostat is cheap, does simple tasks and requires simple analysis.
This is feasible because you amortize the cost of the software across many units.
IS THIS EVEN A
NEW THING?
10. Vending machine and some of these have been around for a long time.
INTERNET OF
THINGS 5
YEARS AGO…
11. Due to costs and innovation you can do it with more things for less.
INTERNET OF
THINGS NOW…
12. Koomey’s law is important for IoT. We can do more with less power.
DISRUPTIVE
FORCES…
1970 1980 1990 2000 2010
10,000,000,000
1,000,000,000
100,000,000
10,000,000
1,000,000
100,000
10,000
1,000
Transistors
Moore’s Law Metcalf‘s Law Koomey’s Law
1.E+14
1.E+12
1.E+10
1.E+08
1.E+06
1.E+04
1.E+02
1.E+00
Computations
per KWh
1940 20101975
13. Connectivity
is proliferating
Hardware
Is getting cheap
Cloud cost,
scale, flexibility
M2M solutions
are mainstream
Software is more
advanced
Development
is easy
New Innovative
Scenarios
Huge benefits
fuel demand
This is relevant now and will become even more mainstream as time passes.
IoT IS AT AN
INFLECTION
POINT…
14. WHAT WE WILL TALK ABOUT TODAY…
1.Why IoT Matters…
2.What is IoT?
3.IoT Challenges…
4.Microsoft’s IoT Investments…
5.IoT Scenarios…
15. WHAT WE WILL TALK ABOUT TODAY…
1.Why IoT Matters…
2.What is IoT?
3.IoT Challenges…
4.Microsoft’s IoT Investments…
5.IoT Scenarios…
16. Cost of compute and innovation has driven progress in the ‘things’ space.
WHAT IS THE
INTERNET OF
THINGS?
Things &
Devices
17. Connectivity isn’t just about wi-fi. You need to know wire protocols!
Connectivity &
Communication
Things &
Devices
WHAT IS THE
INTERNET OF
THINGS?
18. Connectivity &
Communication
Here are the key wire protocols and a little about each.
Things &
Devices
AMQP
Advanced Message Queuing Protocol
- What we use…
- Born on Wall St…
Wire Protocols
MQTT
MQ Telemetry Transport
- Most common…
- Comes from IBM…
CoAP
Constrained Application Protocol
- Think… like REST but small…
OMA
LWM2M
XMPP
OMA Lightweight M2M
- Device management is possible with this!
Extensible Messaging & Presence Protocol
- Jabber? XML?
WHAT IS THE
INTERNET OF
THINGS?
19. Range Speed Frequency Power Topology
Wi-Fi 100 m 11–800 Mbit/s 2.4 GHz 5
GHz
High Star
Bluetooth LE 100 m 1 Mbit/s 2.4 GHz Low Scatternet
ZigBee 10-100 m 250 kbit/s 2.4GHz Low Mesh
Z-Wave 30 m 9.6-100 kbit/s 908 Mhz
(US)
868 Mhz
(EU)
Low Mesh
Thread 10-100 m 250 kbit/s 2.4 GHz Low Mesh
LoRaWAN 15 km 1 kbit/s 915 MHz Low Star
Sigfox 30 km 100 b/s 902 Mhz
(US)
868 Mhz
(EU)
Low Star
Don’t forget you need to know about different connectivity options.
Connectivity &
Communication
WHAT IS THE
INTERNET OF
THINGS?
20. It’s important to understand how information is exchanged (basic IoT comm).
Connectivity &
Communication
Telemetry
Information flowing
from a device to
other systems for
conveying status of
device and
environment
Inquiries
Requests from
devices looking to
gather required
information or to
initiate activities
Commands
Commands from
other systems to a
device or a group of
devices to perform
specific activities
Notifications
Information
flowing from other
systems to a
device (group) for
conveying status
changes
WHAT IS THE
INTERNET OF
THINGS? 1011
011
I’m
okay.
Do
this.
Now.
Info
21. The point of IoT is to gather the data. It’s what we hope to get value from.
Connectivity &
Communication
Things &
Devices
Data
WHAT IS THE
INTERNET OF
THINGS?
22. Analytics unlocks the value from the data. It’s where the value get’s realized.
Connectivity &
Communication
Things &
Devices
Data Analytics
WHAT IS THE
INTERNET OF
THINGS?
23. WHAT WE WILL TALK ABOUT TODAY…
1.Why IoT Matters…
2.What is IoT?
3.IoT Challenges…
4.Microsoft’s IoT Investments…
5.IoT Scenarios…
24. WHAT WE WILL TALK ABOUT TODAY…
1.Why IoT Matters…
2.What is IoT?
3.IoT Challenges…
4.Microsoft’s IoT Investments…
5.IoT Scenarios…
25. Data VolumePace Of Scale Connectivity
Addressing
Device Size
End to End
Integration
Vague Security
Requirements
Many Devices
Large Scale
Understanding
Lots Of Data
While this may seem daunting don’t worry we can overcome all of these.
IOT CHALLENGES…
26. So how do you begin addressing these challenges? Why with Azure IoT…
FIRST PRINCIPLES…
Data VolumeScale ConnectivityAddressing Device Size
Cloud Storage AMQP/MQTTCloudPub/Sub Queues
27. WHAT WE WILL TALK ABOUT TODAY…
1.Why IoT Matters…
2.What is IoT?
3.IoT Challenges…
4.Microsoft’s IoT Investments…
5.IoT Scenarios…
28. WHAT WE WILL TALK ABOUT TODAY…
1.Why IoT Matters…
2.What is IoT?
3.IoT Challenges…
4.Microsoft’s IoT Investments…
5.IoT Scenarios…
29. 19Regions ONLINE…
huge datacenter capacity
around the world…and
we’re growing
(24 Regions)
CentralUS
Iowa
WestUS
California
NorthEurope
Ireland
EastUS
Virginia
EastUS2
Virginia
USGov
Virginia
NorthCentralUS
Illinois
USGov
Iowa
SouthCentralUS
Texas
BrazilSouth
Sao Paulo
WestEurope
Netherlands
ChinaNorth*
Beijing
ChinaSouth*
Shanghai
JapanEast
Saitama
JapanWest
Osaka
IndiaWest
TBD
IndiaEast
TBD
EastAsia
Hong Kong
SEAsia
Singapore
Australia West
Melbourne
Australia East
Sydney
Operational Announced
* Operated by 21Vianet
The problem is handling device volume and scaling over time. Not with MSFT.
SCALE IoT WITH
MICROSOFT…
30. +
Microsoft
Azure IoT
Security &
Identity
Windows
Updates
Visual Studio &
UWP
Windows 10 IoT for industry devices
Desktop Shell, Win32 apps, Universal apps and drivers
Minimum: 1 GB RAM, 16 GB storage
X86/x64
Windows 10 IoT for mobile devices
Modern Shell, Mobile apps, Universal apps and drivers
Minimum: 512 MB RAM, 4 GB storage
ARM
Windows 10 IoT Core
Universal Apps and Drivers
No shell or MS apps
Minimum: 256MB RAM, 2GB storage
X86/x64 or ARM
(Free for Makers/Builders)
Integrated
Device
Connectivity
New User
Interfaces
Microsoft investments continue in the IoT space.
WINDOWS IOT EDITIONS…
31. Apps for the Windows IoT core means universal and easier to build apps!
IS THIS REALLY THAT
INTERESTING?
32. Azure Certified for IoT program helps customers quickly identify hardware
and software offerings verified to work with Azure IoT services.
AZURE CERTIFIED
INTERNET OF THINGS…
34. This is a very important area of consideration. Which is why…
Field
Gateway
Device
Connectivity & Management
Devices
RTOS,Linux,Windows,Android,iOS
Cloud Gateway
Event Hubs
Field
Gateway
Protocol
Adaptation
THE BIG PICTURE…
36. Cross platform device support is important.
Field
Gateway
Device
Connectivity & Management
Devices
RTOS,Linux,Windows,Android,iOS
Protocol
Adaptation
Cloud Gateway
Event Hubs
&
IoT Hub
Field
Gateway
Protocol
Adaptation
Cross Platform C Code
OS Abstraction Layer / OS Bindings
C API .NET API Java API Javascript API
THE BIG PICTURE…
37. The data can then get analyzed, combined and stored for usage.
Field
Gateway
Device
Connectivity & Management
Analytics &
Operationalized Insights
Devices
RTOS,Linux,Windows,Android,iOS
Protocol
Adaptation
Batch “Cold Path” Analytics
Azure HDInsight, AzureML,
Azure Data Factory
Hot Path Analytics
Azure Stream Analytics, Azure HDInsight Storm
Hot Path Business Logic
Service Fabric & Actor Framework
Cloud Gateway
Event Hubs
&
IoT Hub
Field
Gateway
Protocol
Adaptation
THE BIG PICTURE…
38. Lastly we get connectivity with business data, presentation of the data and more!
Field
Gateway
Device
Connectivity & Management
Analytics &
Operationalized Insights
Presentation &
Business Connectivity
Devices
RTOS,Linux,Windows,Android,iOS
Protocol
Adaptation
Batch “Cold Path” Analytics
Azure HDInsight, AzureML, Azure Data Factory
Hot Path Analytics
Azure Stream Analytics, Azure HDInsight Storm
Presentation &
Business Connectivity
App Service, Websites
Dynamics, BizTalk Services,
Notification Hubs
Hot Path Business Logic
Service Fabric & Actor Framework
Cloud Gateway
Event Hubs
&
IoT Hub
Field
Gateway
Protocol
Adaptation
THE BIG PICTURE…
39. This greatly speeds up the implementation of common IoT architecture patterns.
AZURE IOT SUITE
(PREVIEW)
40. Producers Data Transport Storage Analysis Presentation & action
Event Hubs
(Service Bus)
SQL Database Machine Learning Azure Websites
Heterogeneous
client agents
Table/Blob
Storage
HD Insight/Storm Mobile Services
External Data
Sources
DocumentDB Stream Analytics Notification Hubs
External Data
Sources
Cloud Services Power BI
External Services
{ }
The services we will focus on today are circled in red.
AZURE IOT
SERVICES…
Don’t forget… IoT Suite (Preview) & IoT Hub (Command & Control, Security, Reg & Ident & More…)
41. Producers Data Transport Storage Analysis Presentation & action
Event Hubs
(Service Bus)
SQL Database Machine Learning Azure Websites
Heterogeneous
client agents
Table/Blob
Storage
HD Insight/Storm Mobile Services
External Data
Sources
DocumentDB Stream Analytics Notification Hubs
External Data
Sources
Cloud Services Power BI
External Services
{ }
The services we will focus on today are circled in red.
AZURE IOT
SERVICES…
42. HETEROGENEOUS
CLIENT LIBRARIES…
Along with tools (Serializer, Device Explorer (debug/eval), mbed tools, samples…)
• Multi-platform (Linux, RTOS, mbed, node.js, Windows), multi-language
client libraries (C, C#, JavaScript, Java) reduce the friction in connecting
your disparate sensors and line-of-business assets to Azure Event Hubs.
• Clients securely send AMQP telemetry via TLS directly to the cloud or via
gateways (protocol gateway supports MQTT).
• Data is buffered when network is unavailable and messages are batched
to improve communication efficiency.
43. Producers Data Transport Storage Analysis Presentation & action
Event Hubs
(Service Bus)
SQL Database Machine Learning Azure Websites
Heterogeneous
client agents
Table/Blob
Storage
HD Insight/Storm Mobile Services
External Data
Sources
DocumentDB Stream Analytics Notification Hubs
External Data
Sources
Cloud Services Power BI
External Services
{ }
The services we will focus on today are circled in red.
AZURE IOT
SERVICES…
44. AZURE EVENT HUBS…
Event Hubs are a scalable service for ingesting data from line-of-business assets
and sensors. Stream millions of events per second with elastic scale.
• Scalable publish-subscribe
telemetry ingestors
• TTP/AMQP Protocol Support
• Pluggable adapters for other
cloud services
• Security ensured via Shared
Access Signature (SAS) tokens
to authenticate clients.
45. Producers Data Transport Storage Analysis Presentation & action
Event Hubs
(Service Bus)
SQL Database Machine Learning Azure Websites
Heterogeneous
client agents
Table/Blob
Storage
HD Insight/Storm Mobile Services
External Data
Sources
DocumentDB Stream Analytics Notification Hubs
External Data
Sources
Cloud Services Power BI
External Services
{ }
The services we will focus on today are circled in red.
AZURE IOT
SERVICES…
46. DOCUMENT DB…
Document DB is a fully managed NoSQL document db service.
• NoSQL JSON and JavaScript DB Service
• JSON DB for rapid Development
• Schema free – for storage and query
• Automatic indexing of every document property
• CRUD access, query, and JavaScript processing
• Integrates with HDInsight, Azure Search, etc.
{ }
47. Producers Data Transport Storage Analysis Presentation & action
Event Hubs
(Service Bus)
SQL Database Machine Learning Azure Websites
Heterogeneous
client agents
Table/Blob
Storage
HD Insight/Storm Mobile Services
External Data
Sources
DocumentDB Stream Analytics Notification Hubs
External Data
Sources
Cloud Services Power BI
External Services
{ }
The services we will focus on today are circled in red.
AZURE IOT
SERVICES…
48. AZURE HDINSIGHT…
Azure HDInsight is a 100% Apache Hadoop-based service in the cloud meant
to process unstructured or semi-structured data.
• Deployable in Windows or Linux
• Connects with on-premises Hadoop clusters
• Scales from terabytes to petabytes on demand
• Processes unstructured or semi-structured data from
devices and sensors
• Apache Storm for real-time events
• Apache Spark for in memory data analysis
49. Producers Data Transport Storage Analysis Presentation & action
Event Hubs
(Service Bus)
SQL Database Machine Learning Azure Websites
Heterogeneous
client agents
Table/Blob
Storage
HD Insight/Storm Mobile Services
External Data
Sources
DocumentDB Stream Analytics Notification Hubs
External Data
Sources
Cloud Services Power BI
External Services
{ }
The services we will focus on today are circled in red.
AZURE IOT
SERVICES…
50. AZURE STREAM
ANALYTICS…
This is a distributed stream computation service that integrates with Event Hubs
to provide low latency, real-time processing of millions of events per second.
• Write queries in SQL with familiar operators and functions to filter and
join static and streaming data.
• Intake millions of events per second (up to 1 GB/s)
• Correlate between different streams, or with static data or models
• Easy processing on continuous streams of data
• Enables the detection of anomalies.
• Ability to trigger an alert when a specific error or condition appears.
51. Producers Data Transport Storage Analysis Presentation & action
Event Hubs
(Service Bus)
SQL Database Machine Learning Azure Websites
Heterogeneous
client agents
Table/Blob
Storage
HD Insight/Storm Mobile Services
External Data
Sources
DocumentDB Stream Analytics Notification Hubs
External Data
Sources
Cloud Services Power BI
External Services
{ }
The services we will focus on today are circled in red.
AZURE IOT
SERVICES…
52. AZURE MACHINE
LEARNING…
Cloud based predictive analytics engine that was designed for “applied”
machine learning.
• Streamlined experience for data
scientists, across multiple skill levels
• Drag-and-drop, and data-flow
graphs to set up experiments
• Build and test predictive models,
predict future trends or behavior
• Publish models as a fully managed
web service (API)
53. Producers Data Transport Storage Analysis Presentation & action
Event Hubs
(Service Bus)
SQL Database Machine Learning Azure Websites
Heterogeneous
client agents
Table/Blob
Storage
HD Insight/Storm Mobile Services
External Data
Sources
DocumentDB Stream Analytics Notification Hubs
External Data
Sources
Cloud Services Power BI
External Services
{ }
The services we will focus on today are circled in red.
AZURE IOT
SERVICES…
54. AZURE NOTIFICATION
HUBS…
It is a scalable mobile push notification engine that can target millions of
devices/messages with single API call.
• Target audiences with dynamic tags.
• Tailor notifications by audience,
language, and location
• Use with any back end, in the cloud or
on-premises
• Dynamically define and reach
audience segments
55. Producers Data Transport Storage Analysis Presentation & action
Event Hubs
(Service Bus)
SQL Database Machine Learning Azure Websites
Heterogeneous
client agents
Table/Blob
Storage
HD Insight/Storm Mobile Services
External Data
Sources
DocumentDB Stream Analytics Notification Hubs
External Data
Sources
Cloud Services Power BI
External Services
{ }
The services we will focus on today are circled in red.
AZURE IOT
SERVICES…
56. MICROSOFT POWER BI…
Power BI provides a live, single pane of glass dashboard solution for
visualizations and KPIs that is intuitive to use and enables users to do more.
Cloud based business analytics service:
• Track data in real-time with support for streaming data
• Drill through to underlying reports to explore and discover
new insight
• Pin new visualizations and
KPIs to monitor performance
57. This is where the integration and developer vision meets. Easy and impactful.
http://developers.de/blogs/damir_dobric/archive/2015/06/14/integrating-iot-with-logicapps.aspx
P.S. – AZURE
LOGIC APPS ARE
SWEET.
58. WHAT WE WILL TALK ABOUT TODAY…
1.Why IoT Matters…
2.What is IoT?
3.IoT Challenges…
4.Microsoft’s IoT Investments…
5.IoT Scenarios…
59. WHAT WE WILL TALK ABOUT TODAY…
1.Why IoT Matters…
2.What is IoT?
3.IoT Challenges…
4.Microsoft’s IoT Investments…
5.IoT Scenarios…
60. IMPROVING HEALTHCARE…
Using technology in these ways can go beyond the hospital facilities as well.
Patient
Azure
Event
Hub
Azure
Stream
Analytics
Azure
Notification
Hubs
Dispatch
Nurse
Remote patient telemetry containing vital signs, medicines being administered and
other environmental factors is securely streamed over the Internet to Azure Event
Hub.
Azure Stream Analytics pulls data out of Event Hub and observes that the patient’s
temperature has exceeded a predetermined threshold of 100 degrees.
Azure Notification Hubs is called to facilitate the response to this event.A push notification with the patient information is sent to the appropriate nurses
station where an alert is displayed on the patient health telemetry screen resulting
in an immediate visit to the patient.
61. INCREASING REVENUE…
There are scenarios in merchandising where this insight can be invaluable.
Thing
Azure
Event
Hub
Azure
Stream
Analytics
Remote telemetry containing inventory, sales, alarms and other status events are
securely sent to Azure Event Hub.
Azure Stream Analytics pulls data from Event Hub and determines that employees
on the 3rd floor of the building love white powdered donuts and purchase them 3
times more often than any other snack in this particular vending machine.
You act on this granular merchandising information by tripling-up on the number
of spirals selling white powdered donuts.
This vending machine now makes you more money because you’re catering to the
needs of a very specific audience.
Thing
$$
62. INCREASING REVENUE…
This time we achieve more revenue with the power of location and new
consumer experiences.
Thing
Azure
Event
Hub
Azure
Stream
Analytics
Azure
SQL Database
Remote telemetry containing inventory, sales, alarms and other status events is
securely streamed over the Internet to Azure Event Hub.
Azure Stream Analytics pulls data out of Event Hub and inserts the product
inventory, GPS location plus the building address and floor in Azure SQL Database.
A smartphone app provided by the vending machine owner combines location
based services along with snack and drink preferences entered by the customer to
find a nearby vending machine with the items the customer is searching for.
A match between inventory, customer preferences and location is made, resulting
in a sale.
Thing
$$
GPS
63. Drilling
Ops
Azure
Event
Hub
Azure
Stream
Analytics
Azure
Notification
Hubs
Repair
Personnel
Remote drilling telemetry is securely streamed over the Internet to Azure Event
Hub via an onsite field gateway.
Azure Stream Analytics pulls data out of Event Hub and passes the current state of
various drilling components to Azure Machine Learning
Azure Notification Hubs is called to facilitate the response to this event.A push notification with information about the failing component is sent to
appropriate repair personnel resulting in a repair that is cheaper than it would be if
the component failed. It also means reduced or no loss up uptime.
Azure
Machine
Learning
Machine Learning analyzes the incoming state of drilling components and models
them against on-spec values and previously analyzed values to determine that one
of them is going to fail.
PREDICTIVE MAINTENANCE…
Reduction in risk and working smarter with machine assisted prediction.
64. FINDING PARKING…
City services and other improvements can come from IoT innovation.
Street Parking
Azure
Event
Hub
Azure
SQL Database
A magnetic sensor embedded in the street sends remote telemetry containing the
presence of a car and location to a field gateway mounted on a nearby street light
which securely streams this data over the Internet to Azure Event Hub.
An event processor pulls data out of Event Hub and inserts it into Azure SQL
Database while calling Azure Notification Hubs so it can respond to the update.
A push notification is sent to the smartphone, tablet, or in-dash Azure Mobile
Services app which then syncs with Azure SQL Database to alert the nearby driver
of the location of the open parking space.
Driver Looking for
Parking
GPS Azure
Notification
Hubs
65. INCREASING REVENUE…
While examples are vending machines this applies for many other situations.
Thing
The use of Bluetooth Low Energy beacons allows vending machines to notify
customers that they contain the snack or drink item the person is looking for as
they walk by.
A customer with a beacon-enabled smartphone with a beacon-aware app from the
vending machine owner receives an advertisement from the beacon when walking
near the vending machine.
The smartphone app makes an API call to query the Azure SQL Database with the
unique beacon identifier and the customer’s preferences.
Bluetooth
LE
Beacon
Remote telemetry containing inventory, sales, alarms, the unique beacon identifier
and other status events is securely streamed over the Internet to Azure Event Hub,
through Stream Analytics and inserted into Azure SQL Database.
Azure
SQL Database
If the vending machine has a snack or drink the customer wants, it makes a
standard or discount offer via the app and a sale is made.
Thing
Bluetooth
LE
Beacon
$$
66. FLEET MANAGEMENT…
Explore a scenario with a clear walkthrough on how fleet management can be
significantly improved in the transportation industry. Truck maker digital transformation.
http://www.microsoftazureiotsuite.com/
demos/remotemonitoring
67. Start small and learn from the data, but definitely start ASAP.
HERE ARE SOME OF THE
BIGGEST IOT RISKS…
• Understand the business model
• Old ways of thinking can be dangerous
• Beware of new patterns: eventual consistency, etc.
• Don’t focus on the device
• Carefully consider security
• Avoid analysis paralysis. It’s better to do and learn.
68. Field
Gateway
Device
Connectivity & Management
Analytics &
Operationalized Insights
Presentation &
Business Connectivity
Devices
RTOS,Linux,Android,iOS,Windows
Protocol
Adaptation
Batch Analytics & Visualizations
Azure HDInsight, AzureML, Power BI,
Azure Data Factory
Hot Path Analytics
Azure Stream Analytics, Azure Storm
Presentation & Business
Connections
Websites, Mobile Services
Dynamics, BizTalk Services,
Notification Hubs
Hot Path Business Logic
Service Fabric & Actor Framework
Cloud Gateway
Event Hub
& IoT Hub
The next step is to get inspired and go DO things.
HOPEFULLY THIS MAKES
MORE SENSE NOW…
69. Thank You!
Organizers, SponsorsandYouformakingthispossible.
100+AwesomePresentationsAt.. Slideshare.Net/RHarbridge
WindowsOnDevices.. WindowsOnDevices.com
MSFTVisionforIoT.. Creating The Internet Of Your Things
IoTDevCenter.. https://azure.microsoft.com/en-us/develop/iot/
Message Me On LinkedIn or Email Richard@2toLead.com
SPEAKER | AUTHOR | SUPER FRIENDLY
Twitter: @RHarbridge. More to come on our blog at http://2toLead.com.
70. ADDITIONAL RESOURCES?
Provided to help put everything in one single slide deck. Just for you!
1.IoT Business Maturity Model
2.Architecture Slides
3.Customer Stories
71. Rules and alerting to improve operational efficiency
Monitor and track device state, location and health
Connect devices and monitor telemetry
Things
72. Operationalize insights to improve things and processes
in real time
Discover patterns in device data using predictive
analytics
Analyze and visualize data from devices
Things
73. New partnership opportunities
Expand into new adjacent businesses
Combine IoT & other data with advanced analytics to
power new services and revenue streams
Things
76. Know how to make physical things
safe and secure
• Standards, Procedures, Training,
Continuous Improvement
• Physical access management
• Hazard and Risk Analysis
• Monitoring and Maintenance
• Fail Safe and Safety Equipment
Know how to make digital things
secure.
• Secure Development Lifecycle
• Secure Network Technologies
• Threat & Vulnerability Mitigation
• Monitoring and Alerting
• Software/Firmware Auto-Updates
• Privacy Models
IT Engineers OT Engineers
77. Comprehensive solutions from device to cloud
IoT Editions Power a Broad Range of Devices
20 years of history in embedded devices
One Windows platform for all devices
Enterprise-ready, Maker-friendly
Designed for today’s IoT environments
Free IoT Core edition!
Cloud-Based IoT Services & Solutions
Easy to provision, use and manage
Pay as you go, scale as you need
Global reach, hyper scale
End-to-end security & privacy
Windows, Mbed, Linux, iOS, Android, RTOS support
Azure IoT
78. Three parts of an IoT solution
1
Device connectivity &
management
2
Analytics & operationalized
insights
3
Presentation & business
connectivity
Easy to provision, use and manage
Pay as you go, scale as you need
Global reach, hyper scale
End to end security & privacy
Azure IoT
79. Solution PortalProvisioning API
Identity & Registry Stores
Stream Event Processor
Analytics/
Machine
Learning
Data
Visualization &
Presentation
Device State Store
Gateway
Storage
IP capable
devices
Existing IoT
devices
Low power
devices
PresentationDevice and Event Processing
Data
Transport
Devices and
Data Sources
Cloud
Gate-
way
Agent
Libs
Agent
Libs
Control System Worker Role
Agent
Libs
80. Event Hub
Stores Streaming
Data
Stream Analytics
processes events as they
arrive in the EventHub
AML Model
Web Service
BES endpoint
Power BI / D3
Dashboard
Data for
Real-time
Processing
Aggregations
External Data Azure Services
Azure SQL
Contains Historical Data
Real time
data stats
Azure Data Factory
Pipeline invokes AML
Web Service
RealTimeBatch
Example Architecture - Push
Real Time
Telemetry
Data
Azure Data Factory
Pipeline Moves Data
Batch updates
of predictions
81. Data for
Real-time
Processing
Real Time Energy
Consumption Data
(Public Source)
Event Hub
Stores Streaming
Data
Stream Analytics
processes events as they
arrive in the EventHub
AML Model
Web Service
BES endpoint
Power BI / D3
Dashboard
Data Stream
Job
Hourly Prediction
Updates
External Data Azure Services
Copy to Azure SQL
for batch predictions
Scrape Data
5 mins
Azure WebJob
Runs jobs to scrape
data from public source
Azure SQL
Contains Historical Energy
Consumption Data
Real time
data stats
Azure Data Factory
Pipeline invokes AML
Web Service
RealTimeBatch
Example Architecture - Pull
82. • Easy deployment of IoT applications for the most common use cases
• Remote monitoring, asset management, and predictive maintenance
• Plan and budget appropriately through a simple predictable business model
• Start with a proof of concept
• Grow and extend to support millions of assets without redesigning
83. Azure IoT services
Accelerate your business transformation
Azure IoT Suite
Predictive MaintenanceRemote Monitoring Asset Management
And more…
Addresses
common
scenarios:
Enables
you to Mine data Take actionConnect assets
M o n i t o r i n g
85. Create the Internet of Your Things
www.InternetofYourThings.com
CHALLENGE
Rockwell Automation is the world’s largest industrial
automation and information firm with 22,500
employees and customers in more than 80 countries.
Rockwell Automation wanted to transform the way
they do business in the oil and gas industry by
bringing the data generated by even the most
remote assets into the cloud and using advanced
analytics to provide unprecedented business
insights.
o Improves access to production and supply
chain data worldwide, reducing downtime
costs by as much as $300,000 per day
o Modernizes transaction data by replacing a
paper-based system with immediate electronic
records
o Enables data insights that help customers
orchestrate everything from deliveries to
equipment maintenance
BENEFITSSOLUTION
Rockwell Automation created a solution to monitor
expensive capital assets and use that data to improve
operational efficiency, drive better performance
and enable innovation. Based on Microsoft Azure
Internet of Things services, the solution collects,
integrates, and organizes sensor data from remote
equipment across global supply chains to support
real-time insight, predictive analytics, and preventive
maintenance.
ROCKWELL AUTOMATION
Fueling the oil and gas industry
with IoT
“What we’re talking about is delivering a degree of
collaboration and visibility unheard of in the
oil and gas industry.”
Doug Weber
Business Manager, Remote Application Monitoring
86. Create the Internet of Your Things
www.InternetofYourThings.com
CHALLENGE
Operated by Stanford University for the United States
Department of Energy, the SLAC National Accelerator
Laboratory is a 50-year-old, two-mile-long particle
accelerator and research center. Over the years, six
scientists have received Nobel prizes for work
conducted there. To ensure continuous availability of
this critical scientific resource and keep it running as
smoothly as the day it was built, SLAC teams are
collaborating to explore the Internet of Things (IoT).
o Keeps science accelerating by collecting and
analyzing potentially millions of data points in
near-real time to predict potential failure
o Helps technicians understand how disparate
systems interoperate, so they can upgrade more
strategically and avoid downtime
o Continually increases precision by feeding
information back into Azure Machine Learning on
the root causes of detected anomalies
BENEFITSSOLUTION
SLAC is collecting data from intelligent sensors and
feeding it into the cloud where it can be analyzed for
early detection of anomalies — allowing engineers to
anticipate problems, take action and prevent failure.
Working with Microsoft Open Technologies, SLAC used
the open-source project ConnectTheDots.io to integrate
the diverse array of sensor formats in one of its klystron
cooling systems. Azure Event Hubs then packages and
routes the data to Azure Machine Learning for near-real-
time analysis.
SLAC National Accelerator Laboratory
Transforming subatomic
research with IoT
“The advantage we gain is that the algorithms can look
through everything at once and just return the things we
actually need to focus on, so we can take action.
Marcus Keenan
Manager of Instrumentation and Controls for Facilities and Operations
87. Create the Internet of Your Things
www.InternetofYourThings.com
CHALLENGE
The Monterey Regional Water Pollution Control
Agency is one of the nation’s largest water recycling
facilities for crop irrigation—treating 20 million
gallons daily. Monterey wanted to find out why their
facility was experiencing unusually high energy usage
but didn’t have the data necessary from their existing
control systems. They wanted to avoid expanding
their existing control system —taking many months
and hundreds of thousands of dollars—opting to
seek an IoT solution instead.
o Provided $160K in deployment savings and was
up and running within 30 days, needing only
onsite electricians to install.
o Created 140,000 data points daily, enabling
analyses of inefficient processes to save energy
costs.
o Expansion of system with Azure Stream
Analytics and Power BI to provide process
scenario simulations using real data.
BENEFITSSOLUTION
Candi Controls created a solution for MRWPCA that
was running within 30 days and that cost less than
$40K. Commercial-class IoT submeters were placed at
20 key plant processes to measure energy usage at 30
second intervals providing the granular, real-time
data Monterey Water needed to optimize plant
processes. The existing deployment is being
enhanced with Azure Stream Analytics and Power BI
to better manage and optimize energy usage in
future.
CANDI CONTROLS
Using IoT to flush out inefficient
processes for Monterey Water
“Using off-the-shelf sensors with the Candi IoT Platform
gave Monterey Water the data they needed to realize
significant energy savings & power demand reduction.”
Steve Raschke
CEO, Candi Controls, Inc.
88. Create the Internet of Your Things
www.InternetofYourThings.com
CHALLENGE
Fujitsu is the world’s fourth-largest IT services
provider with approximately 162,000 employees in
more than 100 countries and holds about 97,000
patents worldwide. Fujitsu wanted to help dairy
farmers increase production, improve data insights
and transform their business by optimizing the
timing of artificial insemination (AI). It also wanted to
decrease loss through early detection of health
issues.
o Improves calf production up to 31%, with an
average of 12%
o Modernizes data access with mobile phone
alerts, reducing labor costs for monitoring cows
o Transforms herd management by allowing
farmers to increase chances of producing a
male or female calf
o Reduces loss by detecting 8-10 different kinds
of diseases in cattle
BENEFITSSOLUTION
Fujitsu learned from public research that a cow
produces more estrus (goes into heat) 16 hours after
the number of steps increases significantly. The
company created an innovative solution which uses a
rugged pedometer with a five-year battery to
measure the number of footsteps a cow takes, then
sends that data to the cloud for analysis to determine
optimum AI timing and even affect calf gender. In
addition, the patterns of steps can detect disease in
cattle. Alerts are delivered to the farmer’s cell phone.
FUJITSU
The connected cow: Using IoT
to transform cattle production
Editor's Notes
Vending machines? Classic example of IoT…
Vending machines? Classic example of IoT…
With a thermostat you are basically look at a few things it can do.
Vending machines? Classic example of IoT…
Why is IoT a big deal now?
Big companies have been doing this for decades.
Example: jet engines sending GB of data with custom dashboards and reporting systems.
Now this has been democratized (not just for those big companies anymore).
It’s more viable for everyone now.
Due to storage being cheaper…
Architected to run on ARM and x86 devices.
AllJoyn support facilitates autonomous discovery and interaction with nearby IoT devices.
No Windows shell.
Remotely configure, monitor and deploy apps via SSH, web and PowerShell.
Build Universal Windows Platform apps in C++, C#, JS, and VB.
Node.js and Python too
Get started with Visual Studio 2015 and Windows IoT
Core Project Templates from the Visual Studio Gallery.
Processes massive amounts of data (Generally Available WW)
1M Publishers
1 GB/S Ingress
1T Messages/Month (1k per message)
NoSQL JSON and JavaScript DB Service
JSON DB for rapid Development
Schema free – for storage and query
Automatic indexing of every document property
CRUD access, query, and JavaScript processing
Integrates with HDInsight, Azure Search, etc.
NoSQL JSON and JavaScript DB Service
JSON DB for rapid Development
Schema free – for storage and query
Automatic indexing of every document property
CRUD access, query, and JavaScript processing
Integrates with HDInsight, Azure Search, etc.
NoSQL JSON and JavaScript DB Service
JSON DB for rapid Development
Schema free – for storage and query
Automatic indexing of every document property
CRUD access, query, and JavaScript processing
Integrates with HDInsight, Azure Search, etc.
NoSQL JSON and JavaScript DB Service
JSON DB for rapid Development
Schema free – for storage and query
Automatic indexing of every document property
CRUD access, query, and JavaScript processing
Integrates with HDInsight, Azure Search, etc.
NoSQL JSON and JavaScript DB Service
JSON DB for rapid Development
Schema free – for storage and query
Automatic indexing of every document property
CRUD access, query, and JavaScript processing
Integrates with HDInsight, Azure Search, etc.