In seinem Meetup Talk berichtete Maximilian von den aktuellen Problemen von Cloud Computing – insbesondere im Internet of Things – und wie diese durch Edge Computing mitigiert werden können. Er erklärte, wie eine generische Edge-Computing-Architektur aussehen kann und zeigte Anwendungsfälle, von denen manche auch schon in existierenden Produkten umgesetzt sind. Im Anschluss stellte er Azure IoT Edge vor und erläuterte, wie es das bestehende IoT Framework von Microsoft erweitert sowie die Grundkonzepte, die IoT Edge bereitstellt. Auch die Probleme in dem noch jungen Produkt wurden angesprochen, aber auch die Vorteile und Features, die es liefert. In der gemeinsamen Demo mit Eli haben dann beide Speaker die technischen Details von Azure IoT Edge gezeigt und demonstriert, beispielsweise wie Code automatisiert von einer CI/CD-Pipeline in Azure DevOps auf ein IoT-Gerät deployed werden kann. Event: inovex Meetup, 12.03.& 19.03.2019 Speaker: Maximilian Bischoff, inovex Mehr Tech-Vorträge: inovex.de/vortraege Mehr Tech-Artikel: inovex.de/blog

1. Meetup: Azure
Azure IoT Edge
Maximilian Bischoff Karlsruhe, 12 March 2019

2. ● Team ITO since 2018
● Kubernetes stuff
● Cloud technologies
● Been a little on edge recently
Maximilian Bischoff
Cloud Platform Engineer
2

3. What about you?
5

4. Motivation
6

5. Steve Jurvetson, Tesla auto bots, CC BY 2.07

6. Photos by Donald Tong and Oleksandr Pidvalnyi from Pexels8

7. https://virtualizationreview.com/articles/2018/03/05/aws-outage.aspx10

8. ● Bandwidth usage
○ expensive
○ slow/limited
● Latency
● Connectivity
○ Moving devices
Issues with IoT + Centralized Cloud
11

9. Edge Computing
12

10. Solution
13
Device Cloud
Edge
Node
Edge
Node
LAN MAN WAN

11. 14

12. ● Smart Factory -> Edge Node / Building instead of
permanent cloud connectivity, compute power does not
have to be in devices
● Connected cars -> sharing alerts about hazards with low
latency (no peer-to-peer & on-car-computing requried)
● Aggregating data from multiple dumb sensors that only
speak Bluetooth, send only important data to the cloud
Use Cases
16

13. Wait, That already exists! Cloudflare
does it since forever...
17

14. 18

15. 19

16. Azure IoT Edge
About
● Extension of Azure IoT Framework
● Management of Modules (Docker images / containers)
● Communication Proxy for IoT Hub
20

17. IoT Device
21
Hardware
OS
IoT SDKAPP
AzureIoT Hub
Backend
Services

18. IoT Edge Device
22
Hardware
OS
Edge HubEdge Agent
AzureIoT Hub
Backend
Services
Docker

19. Docker bridge network: azure
23
IoT Edge Module
IoT Edge
SDK
App
Edge Hub Edge Agent
Azure
Docker
Communication
(Cloud & Module),
Authentication
Starting, stopping
& reporting status
of modules

20. Azure
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IoT Hub
IoT Edge
Device
IoT Device IoT DeviceIoT Device
Cloud
Edge Nodes
IoT Edge
Device
Edge Devices

21. Security
● Standards (e.g. MQTT/AMQP with TLS)
● Authentication (Certificate based for Edge nodes,
tokens/certificates for devices)
● Authorization -> Privileges for devices/modules must be
explicitly granted
● Support for hardware security (e.g. TPM)
26

22. Integrations
as advertised
● Azure Stream Analytics on IoT Edge
● Custom Vision (preview)
● Azure Functions
● Azure SQL Database
-> Some integrations for Container based services
27

23. https://azure.microsoft.com/en-us/pricing/details/iot-edge/
Pricing
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Iot Hub
edition type
price per unit
(per month)
total number of
messages/day per unit
Free Free 8,000
S1 $25 400,000
S2 $250 6,000,000
S3 $2,500 300,000,000

24. Azure IoT Edge
Strengths & Weaknesses
+ Easy deployment onto remote devices
+ Built-in security
+ Support for MQTT & AMQP -> Open standards
+ Offline functionality (preview)
- No module to module (downstream) communication
- HTTPS not supported atm, still under development
- Deployments must be complete, no built-in patching
29

25. Thank you
Maximilian Bischoff
IT Engineering &
Operations
inovex GmbH
Ludwig-Erhard-Allee 6
76131 Karlsruhe
mbischoff@inovex.de