This document discusses how smart devices can be powered by cloud computing. It begins by comparing the capabilities of devices like Arduino Uno and Raspberry Pi. It then outlines the various sensors and components that can be connected to smart devices. The challenges of supporting thousands to millions of distributed devices and users are also presented. The document explains how the cloud provides unlimited storage, memory, and computing to support smart devices at large scale. It provides examples of real-world sensor data and simulations being collected and analyzed in the cloud. Finally, it demonstrates connecting an Arduino and Raspberry Pi to AWS cloud services for real-time data streaming, storage, and analytics.

1. Smart&Devices&
Powered&by&the&Cloud&
Markku&Lepistö&<&Principal&Technology&Evangelist&
@markkulepisto&

2. Smart&Devices&
Powered&by&the&Cloud&

3. Smart&Devices&
Powered&by&the&Cloud&

4. Smart&Devices&
Powered&by&the&Cloud&

5. Smart&?evices&
Powered&by&the&Cloud&

6. Smart&?evices&
Powered&by&the&Cloud&
Arduino(Uno( Raspberry(Pi(
CPU& 20MHz&8bit& 700MHz&32bit&
Memory& 2&KB& 512&MB&
Storage& 32&KB& SD&card&

7. Smart&Devices&
Powered&by&the&Cloud&

8. Camera&
Microphone&
Thermometer&
Distance&
GPS&
Gyroscope&
Actuator&
Relay&
Motor&
Manipulator&
Switch&Pressure&
ParRcle&
Wheel&
Propeller&
Rotor&

9. Challenges&

10. Challenges&
Thousands&–&Millions&of&
Devices&/&Producers&

11. Challenges&
Thousands&–&Millions&of&
Devices&/&Producers&
Thousands&–&Millions&of&
Users&/&Consumers&

12. Distributed&
Thousands&–&Millions&of&
Devices&/&Producers&
Thousands&–&Millions&of&
Users&/&Consumers&

13. At&scale&
Thousands&–&Millions&of&
Devices&/&Producers&
Thousands&–&Millions&of&
Users&/&Consumers&

14. Smart&Devices&
Powered&by&the&Cloud&

15. Smart&Devices&
Powered&by&the&Cloud&
Unlimited&Storage&–&Memory&
&
&
Unlimited&Compute&–&Logic&

17. Camera&
Microphone&
Thermometer&
Distance&
GPS&
Gyroscope&
Actuator&
Relay&
Motor&
Manipulator&
Switch&Pressure&
ParRcle&
Wheel&
Propeller&
Rotor&

18. Smart&Devices&
Powered&by&the&Cloud&

20. 20&

22. 150B&Soil&ObservaRons& 3M&Daily&Weather&
Measurements&
850K&Precision&Rainfall&
Grids&Tracked&
200&TB&Stored&in&Amazon&S3&

23. Simula5ons(Each(Month(
Per Simulation:
• 10K Unique Scenarios Generated
• 5 Trillion Data points
• 5-6k Node Hadoop Cluster

24. SimulaRons&

25. At&scale&
Thousands&–&Millions&of&
Devices&/&Producers&
Thousands&–&Millions&of&
Users&/&Consumers&

26. At&scale&
Thousands&–&Millions&of&
Devices&/&Producers&
Thousands&–&Millions&of&
Users&/&Consumers&

32. Demo&

33. Arduino&Yún&
(

34. Raspberry&Pi&

35. Accele<
rometer&
MQTT&
Mosquio&MQTT&Broker&
MQTT<Bridge&
AWS&SDK&
Amazon&Kinesis&
Real<Rme&Streaming&
Data&Service&
AWS&APIs&
AWS&ElasRc&
Beanstalk&
Dashboard&
Amazon&DynamoDB&
Managed&NoSQL&Service&

36. Demo&

37. COLLECT | STORE | ANALYZE | SHARE
Import Export
Glacier
S3 EC2
RedshiftDynamoDB
EMR
Data Pipeline
S3Direct Connect
Kinesis
The AWS Big Data Portfolio
CloudFront

38. AWS&Regions,&Zones&and&Edge&LocaRons&

39. Smart&Devices&
Powered&by&the&Cloud&

40. Thank&You&
aws.amazon.com&
Markku&Lepistö&<&Principal&Technology&Evangelist&
@markkulepisto&