The document discusses Microsoft's vision for the Internet of Things (IoT) and its Azure IoT Suite. Azure IoT Suite provides preconfigured solutions for connecting, monitoring, and managing IoT devices at scale. It includes services for device connectivity, stream processing, predictive analytics, workflow automation, dashboards/visualization, and preconfigured solutions. Azure IoT Suite allows users to gain insights from IoT data, build competitive advantages, and open new business opportunities.

3. Well know story
25 billion
Connected “things” by 2020
Gartner

5. Gain insight
and agility
Build
competitive
edge
Open new
business
opportunities
Redefine
customer
service

6. Long
iterations
Scale only on
paper
Expensive
customization
Slow
integration

8. Microsoft Vision
Build on existing
infrastructure
Add more devices to
your ecosystem
Get more insights from
your existing data

10. AzureIoTSuite
• Azure IoT Hub
• Azure Stream Analytics
• Azure Storage
• Azure DocumentDB
• Azure App Service
• Microsoft Power BI
• Azure Machine Learning
• Azure Service Bus
• Azure Notification Hub

11. Preconfigured solutions
Heterogeneous agents
Connect and control
Event processing
Predictive analytics
Data visualization
Workflow integration
Push and broadcast
notifications
ID and access
management
Analyze and act
on new data
Integrate and transform
business processes
Connect and scale
with efficiency

12. Device
Connectivity
&
Management
Data
Ingestion and
Command &
Control
Stream
Processing &
Predictive
Analytics
Workflow
Automation
Dashboards
and
Visualization
Preconfigured
Solutions
Azure IoT Suite

13. BackendApplications
DevicesLandscape

16. Connect
Monitor
Manage

17. AMQPS, MQTT, HTTPS
AMQPSCustom or Normal
AMQPS

19. Device Identity

20. Device-to-Cloud

21. Cloud-to-Device

22. IoT Hub Access

23. Authentication

24. Libraries & SDKs
.NET
REST API
C
Java
Node.JS

26. Good Practices
Meta
data
Device
ID
Device
-DeviceID
-Type
-Location
-Owner

27. Good Practices

28. Good Practices
1 2 2
3 4

29. What we need to consider

30. Let’s make some calculation

37. Real Time Data
• Multiple streams analytics in real time
Real Time Alerts
• Alerts raised in the moment when problem appears
Reliability
• Low Latency, high througput
Rapid Deployment
• SQL syntax, native distributed scalling
Enterprise ready
• Predictable, millions of data points per seccond

39. Out of the box algorithms
• Build-in algorithms that can be integrated
ML Studio
• Easy tool to create, access and prepare data
• Edit and train models
ML API
• REST API available
Rapid Deployment
• Single clieck deployment

41. Data Visualization
• 360 view of any data
Customize Dashboards
• Can run on any device
Query Data
• Query tools
Real time
• Ingest, analyze, display data as it happens
Integration
• Easy integration with systems like CRM, ERP
Cloud or on-premises
• Can run anywhere

43. Cross platforms
• Easy integration with any system
Connects on-premises data
• Perfect for hybrid solutions
Standard and custom connectors
• Multiple out-of-the-box connectors
• Custom connectors support
Automation
• Business process automation

45. Broadcast notifications
• Send notification to any system
High capacity
• Millions of notifications
Cross platform support
• iOS, Android, Windows, Kindle
• .NET, PHP, Node.js, …
Customize audience
• Target based on audience profile
Scalable
• Design to send notifications to millions of devices
Secure
• PNS per device, per message
Telemetry

47. Analyze Design Test Go live

48. Question
Answers

49. {
“name” : “Radu Vunvulea,
“blog” : “vunvulearadu.blogspot.com”,
“email” : ”vunvulear@outlook.com”,
“socialMedia” :
{
“twitter” : “@RaduVunvulea”,
“fb” : “radu.vunvulea”
}
}

50. https://portal.azure.com/#create/Microsoft.IotHub
https://portal.azure.com/#create/Microsoft.IotHub

51. {
“name” : “Radu Vunvulea,
“blog” : “vunvulearadu.blogspot.com”,
“email” : ”vunvulear@outlook.com”,
“socialMedia” :
{
“twitter” : “@RaduVunvulea”,
“fb” : “radu.vunvulea”
}
}