This document provides an overview and introduction to getting started with IoT on AWS. It discusses key IoT concepts like architecture, smart devices and use cases. It then covers the AWS IoT architecture and services like IoT Core, how it provides authentication, authorization and acts as a message broker using MQTT. The document demonstrates setting up a thing and connecting a device to ingest sensor data to AWS. It shows how to trigger actions based on telemetry data through rules and actions. Device shadow is discussed as a way to store and retrieve state information when devices are offline.

1. Getting Started with IoTon
16th April 2020
Albert Suwandhi
Online Talk

2. Albert Suwandhi
IT Infrastructure – Sinarmas Group
IT Lecturer
• STMIK IBBI – Medan
• Universitas Pelita Harapan - Medan
Bachelor Degree – Electrical Engineering - USU
Master Degree – Information Technology – Binus
Certifications :
• Cisco CCNA and CCNP - Enterprise
• Mikrotik MTCRE and MTCTCE
• AWS Certified Solution Architect – Associate
• Azure Fundamentals
GitHub : https://github.com/albertsuwandhi
LinkedIn : https://id.linkedin.com/in/albertsuwandhi
SlideShare : https://www.slideshare.net/albertsuwandhi
Telegram : @albertsuwandhi

3. ABCDI : AI, Blockchain, Cloud, Data, IoT

4. Agenda
• IoT Concepts and Architecture
• IoT Services on AWS
• Demo :
• Create and Connect Things to AWS Cloud
• Ingest Sensor Data to Cloud
• Trigger actions based on telemetry data
• Visualization
• Device Shadow (Tentative)

5. IoT Concepts and Architecture

8. IoT Definition
• “The Internet of Things (IoT) is the network of physical objects that
contain embedded technology to communicate and sense or interact
with their internal states or the external environment” - Gartner
• “The Internet of things (IoT) is the inter-networking of physical
devices, vehicles (also referred to as "connected devices" and "smart
devices"), buildings, and other items embedded with electronics,
software, sensors, actuators, and network connectivity which enable
these objects to collect and exchange data” - Wikipedia

11. Smart Devices
20B IoT Devices
Smart City
250 PB per day
Connected Factory
1 PB per day
Stadium
200 TB per game
People
1.5 GB per day
Smart Home
50 GB per day
Autonomous
Vehicle
5 TB per day
Smart Office
150 GB per day
1 million/hour
new devices coming online by 2020

13. IoT Use Case - SmarTernak
Product by : DycodeX – Indonesia

14. IoT Use Case – Predictive Maintenance
• Industrial IoT - Predictive Maintenance
• Measure Vibration, Temperature,
RPM, etc on machine
• Detect Anomalies and Trigger Alert
• Powered by Machine Learning - Edge
AI
• Energy Harvesting - Heat
Product by : Yokogawa - Japan

16. Nobody just buys IoT technology… They seek for
business outcomes!!

17. What Businesses are asking for??

18. IoT Architecture
* Microsoft’s Definition of IoT

20. Illustration by Andri Yadi

21. ML at Edge: Train in the cloud, infer at the edge
Illustration by Andri Yadi

22. IoT projects can be quite complex

23. How can help to simplify IoT
Let See

24. AWS IoT Architecture

25. AWS IoT Architecture

27. AWS IoT Core
AWS IoT Core is a managed service that lets connected devices easily and securely
interact with cloud applications and other devices

28. Why AWS IoT Core?
• AWS ecosystem with easy access to services like Kinesis, S3,
ML,Lambda, DynamoDB, CloudWatch, CloudTrail, Elasticsearch, etc.
• Serverless: Scalable to massive amount of devices without having to
manage any infrastructure
• Security: End-to-end encryption. You can't authenticate unless you
have the right certificate. Policies are used for authorization. In Transit
data uses TLS 1.2

29. How AWS IoT Core Works

30. AWS IoT Core acts as Message Broker
MQTT
• OASIS standard protocol (v3.1.1)
• Lightweight, Pub/Sub protocol
for connected devices
• Used on oil rigs, connected
trucks, health care.
• Suitable for Low Bandwidth and
High Latency condition
• Needs a broker
MQTT vs HTTPS
• 93x faster throughput
• 11.89x less battery to send
• 170.9x less battery to receive
• 50% less power to keep connected
• 8x less network overhead
Source: http://stephendnicholas.com/archives/1217

31. Pub/Sub Illustration

32. AWS IoT Core Protocol Support

33. Authentication and Encryption

34. Authorization

35. In Summary : Authentication and Authorization
Every IoT Device needs “certificates” and “policies” in order to give
them the right accesses and permissions. Certificates protect the
transmission of data between your devices and AWS
IoT. Policies enable devices or users to access specific resources and
actions. This is to prevent any connections that are unnecessary, as well
as improve security all around.

36. Demo
Creating Thing and Connect to AWS IoT Core
Ingest Sensor Data to Cloud

37. Amazon S3 output bucket
IoT Action
Certificate + Policy
AWS SNS
AWS Lambda
AWS Lambda
IoT Rule
AWS EC2
Amazon CloudWatch Metric
AWS CLOUD
MQTT over TLS
SELECT * FROM '$aws/things/ESP32-IoT/Sensor'
SELECT * FROM '$aws/things/ESP32-IoT/Sensor'
SELECT * FROM '$aws/things/ESP32-IoT/Sensor'
SELECT ADC FROM '$aws/things/ESP32-IoT/Sensor' WHERE ADC>3600
Device Shadow
AWS IoT Core
DEMO ARCHITECTURE
Telegram Bot
Users
$aws/things/ESP32-IoT/Sensor
$aws/things/ESP32-IoT/shadow/update/delta
$aws/things/ESP32-IoT/shadow/update
$aws/things/ESP32-IoT/Output
NODE – ESP32
Illustration by Albert Suwandhi

38. Acting on Data – Anything Wrong?

39. AWS IoT Rule Engine

40. Available Actions

41. AWS IoT Rule Engine
• Connect IoT to other services
• Transform message content : SELECT
• Enrich message with contextual data : FROM
• Filter erroneous or unnecessary messages : WHERE
• Route based on content : ACTION
• Decouples device software and cloud applications

42. Example – Sending Events to AWS Services

44. Demo
Trigger actions based on telemetry data
Visualization

45. Additional Slides
AWS Device Shadow

46. Problem - Devices with Unreliable Networks

47. Digital Twins Concepts
• Applications can interact with the digital counterpart of the device
which is always in sync with the state of the physical device. When an
application sends the command, it flows via the digital twin, which
tracks the delta between the desired state set by the application and
the last reported state of the device.
• The IoT platform will ensure that the state of the physical device
matches its corresponding digital twin. Even if the device is offline
when the command is sent from the application, the platform will
sync the state when the device connects the next time. This
functionality reduces the burden on the developers by providing an
intelligent state machine for all the connected devices.

48. Digital Twins Concepts

49. AWS Digital Twins - AWS IoT Device Shadow

50. AWS IoT Device Shadow
• Device Shadow is the virtual representation of our physical Device. As per AWS IoT
Platform is concerned, we create a Thing in AWS IoT Console. Things are nothing
but the Devices, those are connected to AWS IoT Platform.
• It is a JSON document that is used to store and access current state information for
a device. This service maintains a shadow (virtual Device State) for each and every
device you connect to AWS IoT Platform. We can use the shadow document to get
the current state of the device and based on that state, we can take action on the
device, we can also monitor and control our Devices based on our needs over
(MQTT or HTTP) protocols, regardless of whether the device is connected to the
Internet. Each device’s shadow is uniquely identified by the name of the
corresponding Thing(Device associated with).
• Device Shadow service acts as a communication medium between your device and
application. As this service provides different MQTT topics (or) RESTful API to
interact with device. Using these MQTT topics (or) RESTful API we can also get,
update and delete Shadow Document.
• Use the AWS IoT Shadow in situations where a command persists for later use, even
if the device is currently offline.

51. AWS Device Shadow Flows

52. AWS IoT Shadow MQTT Topics

53. AWS Shadow Delta - Example

54. AWS Shadow Delta - Example

55. AWS Shadow Delta - Example

56. What’s Next?
• Explore edge computing : AWS Greengrass
• Add Analytics and Machine Learning
• etc

57. Discussion Time
https://t.me/AWSUserGroupID