Na ukázkové aplikaci psanou v Xamarin si prakticky představíme architekturu a propojení na jednotlivé služby v Azure, které jsou z pohledu IoT klíčové: • Mobilní aplikaci psanou pomocí Xamarin pro Android, iPhone a Windows Phone, která slouží jako field gateway, ale i pro zobrazování dat • Azure Mobile App jako backend pro mobilní aplikaci, umožňující autentizaci, ale i rychlý vývoj pomoci Easy Tables a Easy API a Push Notifikace • HockeyAPP pro distribuci mobilní aplikace pro testy a sběr chyb • Application Insights pro monitoring • IoT Hub, který pomůže při sběru dat z koncových zařízení (mikrokontroléry a field gateways) • Stream Analytics, které umožňují real time analýzu velkého množství dat • Power BI pro chytré zobrazování • Služby pro persistetní ukládání dat jako je Azure Storage nebo Azure SQL Database Podíváme se na to, jak můžete připojit vaše auto přes OBD-II ke Cloudu a sledovat rychlost, spotřebu, otáčky a další hodnoty v reálném čase. Vše je samozřejmě open source.

2. DAVID BUREŠ
Technical Evangelist, Microsoft
@pidibi | dabures@microsoft.com

3. David Bureš
dabures@microsoft.com | @pidibi
Technical Evangelist | Microsoft

11. Xamarin.iOS does full Ahead Of Time
(AOT) compilation to produce an ARM
binary for Apple’s App Store.
Xamarin.Android takes advantage of
Just In Time (JIT) compilation on the
Android device.

17. Backend
code
REST API

18. - Client DB: SQLLite
- Azure SDK - MobileServiceClient
- Synchronization
- Hidden HTTP interactions
- Implementation with Interfaces – mockable
- Samples: iOS, Android, Xamarin, Cordova, Windows

24. Mobile DevOps

25. https://www.visualstudio.com/
VS Community Edition
VS Code
VS Team Services
VS Dev Essentials
- 25USD / month Azure credit

26. iOS

34. Mobile DevOps + Visual Studio Team Services
Visual
Studio
Code Repository
Backlog
Build + Deploy
Monitor and improve
Automated Testing
Beta Testing
User Feedback
Xamarin
Studio
HockeyApp
HockeyApp
Xamarin Test
Cloud
Visual Studio Team Services
Crash Analytics

35. - VSTS
- Xamarin Test Cloud
- Hockey App

39. Proces zpracování dat
Prezentace a
řízení
Notification & App
services
Data analytics
Power BI
Uložení
dat
External
data sources
Azure Storage
Transformace
dat
Real-time analytics
Stream analytics
Machine learning
Přenos
dat
Scalable
Event Broker
Field Gateways
Sběr
dat
Cloud Gateways
(WebAPIs)
Applications
Vznik
dat
Devices

40. Proces zpracování dat
Vznik dat Sběr dat Uložení dat
Analýza dat /
transformace
Prezentace a řízení
Event Hub SQL Database
Machine
Learning
App Service
IoT Hub
Table/Blob
Storage
Stream
Analytics
Power BI
Service Bus DocumentDB HDInsight
Notification
Hubs
External Data
Sources
3rd party
Databases
Data Factory Mobile Services
Data Lake BizTalk Services
{ }

41. Remote Monitoring Service Architecture
https://azure.microsoft.com/en-us/solutions/iot-suite/

42. Per-Device Authentication
Individual device identities and credentials
Connection Multiplexing
Single device-cloud connection for all communications
(device-to-cloud, cloud-to-device)
Multi-Protocol
Natively supports AMQPS, HTTPS, MQTT
Extensible protocol support for custom protocol needs
Multi-Platform
Device SDKs available for multiple platforms
RTOS, Linux, Windows, iOS, Android
Service SDK supports multiple languages (Node, Java, C#)

43. - Security takes precedence over all other capabilities
- A device establishes all connections and routes in an outbound-only
fashion.
- Devices should only connect to or establish routes to well-known
services
- The communication path is secured at the application protocol
layer
- Authorization and authentication are based on per-device
identities. It makes access credentials instantly revocable.
- For a device to receive a command from the backend, the device
must regularly initiate a connection to check for any pending
commands to process.

47. -
-
-
-
-
-
-

48. http://aka.ms/iot-hub-sdk

50. End-to-End Architecture Overview

51. End-to-End Architecture Overview
Data Source Collect Process ConsumeDeliver
Event Inputs
- Event Hub
- IoT hub
- Azure Blob
Transform
- Temporal joins
- Filter
- Aggregates
- Projections
- Windows
- Etc.
Enrich
Correlate
Outputs
- SQL Azure
- Blob Storage
- Event Hub
- Table Storage
- Service Bus
- Queue
- Topic
- DocumentDB
- Power BI
Azure
Storage
• Temporal Semantics
• Guaranteed delivery
• Guaranteed up time
Azure Stream Analytics
Reference Data
- Azure Blob

53. TUMBLINGWINDOW ( timeunit , windowsize, [offsetsize] )
TUMBLINGWINDOW ( Duration( timeunit , windowsize ), [Offset(timeunit , offsetsize)] )

54. HOPPINGWINDOW ( timeunit , windowsize , hopsize, [offsetsize] )
HOPPINGWINDOW ( Duration( timeunit , windowsize ) , Hop (timeunit , windowsize ), [Offset(timeunit , offsetsize)])

55. SLIDINGWINDOW ( timeunit , windowsize )
SLIDINGWINDOW ( Duration( timeunit , windowsize ) )

57. Aggregate functions
Scalar/Conversion functions
Date and time:
String:
Typy
Type Description
bigint Integers in the range -2^63 (-9,223,372,036,854,775,808) to 2^63-1 (9,223,372,036,854,775,807).
float Floating point numbers in the range - 1.79E+308 to -2.23E-308, 0, and 2.23E-308 to 1.79E+308.
nvarchar(max) Text values, comprised of Unicode characters. Note: A value other than max is not supported.
datetime Defines a date that is combined with a time of day with fractional seconds that is based on a 24-hour clock and relative to
UTC (time zone offset 0).

78. State is made highly-available through replication and
distributed through partitioning

81. https://github.com/Azure-Samples/MyDriving
https://aka.ms/MultiPlatformConf2016
David Bureš
dabures@microsoft.com | @pidibi
Technical Evangelist | Microsoft

82. WWW.MDEVTALK.CZ
mdevtalk