This is a presentation from Serverless Summit. In this session you will learn about how to build your IoT solution with the various components of AWS Serverless backend. We will visit the AWS IoT stack, Kinesis, DynamoDB and AWS Lambda to build an IoT solution.

1. © 2016, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Twitter: @madhushekar23
Linkedin: /in/madhusudanshekar
IoT  Serverless
Madhusudan Shekar

2. Business of IoT

4. SONOS Trueplay: Smart Speaker Tuning
Trueplay measures the
acoustics in any room and fine-
tunes your speaker
Launched in 2015 yet available
to devices purchased over 5
years ago
Data-driven evaluation and
testing

5. Cloud-connected devices are constantly smarter
« A 10 year old product can do things that hadn't
been invented 10 years ago. Most importantly, going
forward, people will expect your product to improve, and if
it isn't being updated and getting better, you're literally
being left behind. »

6. Philips HealthSuite stores 15PB of
patient data
Data gathered from 390 million
imaging studies, medical records
and patient device inputs
Provide doctors overview of long-
term patient behavior and
symptoms instead of momentary
snapshots
Philips HealthSuite – Improving patient relationship

7. Improve operational efficiency
and patient safety in hospital
pharmacies
RFID tags attached to medical
vials to check contents and age
of medications in kits
Uses AWS to manage information
on more than 6 million tagged
drugs
Kitcheck - Improving patient safety

8. Stream, analyze, store and share
data collected by 200,000
telematically-enabled machines
Provide growers timely and
accurate data for optimal
growing conditions
Help farmers plant more
efficiently and improve crop
yields
John Deere – Plant and grow more efficiently

9. BMW – Make the car the sensor!
Connected-car application
collects sensor data from
BMW 7-series
Built Car-as-a-sensor
(CARASSO) in only 6 months
Provide dynamically
updated map information

10. TATA Motors – Intelligent Fleet management
Collects sensor information and
monitors truck fleets via AWS
Data allows to route fleets more
effectively
Predict engine failures or
mechanical problems and pre-
emptively send trucks to repair
centers

11. “Securely connect
billions of devices to AWS
and interact with
applications, other devices
and the AWS platform”
AWS IoT

12. Serverless

13. Going Serverless…
Code is all you need Event driven scaling
Never pay for idle Availability and fault tolerance built in

14. AWS Serverless offerings
And more !!
Lambda DynamoDB S3 Kinesis

15. How Lambda works
S3 event
notifications
DynamoDB
Streams
Kinesis
events
Cognito
events
SNS
events
Custom
events
CloudTrail
events LambdaDynamoDB
Kinesis S3
Any custom
Redshift
SNS
CloudWatch
events

16. How does a Lambda function looks like?
def hello(event, context):
return {
"message": ”Hello World!",
"event": event
}
'use strict';
handlermodule.exports.hello = (event, context, cb) => cb(null,
{ message: ’Hello World!', event }
);

17. AWS IoT

18. Registry
Establishes an identity for devices and manages
metadata such as the devices’ attributes and
capabilities
Rules and Actions
Match patterns and take actions to send data to
other AWS services or republish
Shadows
Apps and devices can access “RESTful”
Shadow (Thing’s State) that is in sync with
the device
{Thing Name,
Sensor Temp,
, GetTemp(),
Output LED}
Rules Engine
Shadow
Registry
Amazon S3,
AWS Lambda,
Kinesis
DynamoDB
SNS
Elasticsearch
Machine Learning
Mobile App
AWS IoT: Key features

19. Secure by Default
Connect securely via X509 Certs and
TLS v1.2 Client Mutual Auth
Multi-protocol Message Gateway
Millions of devices and apps can connect
over MQTT or HTTP or WebSockets.
Elastic Pub Sub Broker
Go from 1 to 1-billion long-lived
connections with zero provisioning
Subscribers
Publishers
AWS IoT: Key features

20. DEVICE SDK
Set of client libraries to
connect, authenticate and
exchange messages
DEVICE GATEWAY
Communicate with devices via
MQTT and HTTP
AUTHENTICATION
Secure with mutual
authentication and encryption
RULES ENGINE
Transform messages
based on rules and
route to AWS Services
AWS Services
- - - - -
3P Services
SHADOW
Persistent thing state during
intermittent connections
APPLICATIONS
AWS IoT API
REGISTRY
Identity and Management of
your things
AWS IoT Platform

21. Demo Time Lets Sync a Light Bulb

22. Light bulb explained
Amazon
Cognito
AWS IoTIoT
shadow
MQTT

23. IoT with AWS

24. IoT with AWS
IoT Endpoints IoT Edge IoT Cloud Enterprise Applications
Thing
s
Thing
s
Thing
s
Deviceshadow
Deviceshadow
Greengrass
Lambda
Functions
Deviceshadow
Local Comms
Edge
Users
Long-range Comms
Device
shadow
Rules
Engine
AWS IoT
service
IoT
Users
AWS
Lambda
Amazon
Kinesis
Amazon
DynamoDB
AWS
Amazon Machine
Learning
Amazon
Redshift
IoT
Analytics
Big Data, Machine Learning,
& Integration
Real-time viewCorrelationAnalysisArchive
Enterprise
Users
Corp Apps
Corp Data Center
MQT
T
MQT
T
MQT
T
MQT
T
MQT
T
MQT
T
IoT Partners
Operating systems
Consulting
Wireless operator
OEM
ISVsSilicon

25. Cloud
Moving to the Edge
Devices

26. Local
actions
Local
Lambda Functions
Security
AWS-grade
security
Local
triggers
Local
Message Broker
Data and
state sync
Local
Device Shadows
Features
AWS Greengrass

27. Respond quickly
to local events
Operate
offline
Simplified device
programming
Reduce the cost of
IoT applications
AWS-grade
security
Benefits
AWS Greengrass

28. Greengrass components
Greengrass is software, not hardware
(you bring your own)
2 components that work together:
• Greengrass Core
• IoT Device SDK

29. AWS Greengrass Core (GGC)
The runtime responsible for Lambda
execution, messaging, device
shadows, security, and for interacting
directly with the cloud

30. AWS Greengrass Core (GGC)
• Min single-core 1 GHz
• Min 128 MB RAM
• x86 and ARM
• Linux (Ubuntu orAmazon)
• The sky is the limit

31. IoT device SDK
Any device that uses the IoT device
SDK can be configured to interact
with AWS Greengrass core via the
local network
Devices can be small or big
Starts with the IoT device SDK
forC++, more coming soon

32. Devices work together locally
An AWS Greengrass group
is a set of cores and other
devices configured to
communicate with one another

33. Devices work together with the cloud
AWS Greengrass works with AWS IoT
to maintain long-lived connections
and process data via
the rules engine
Your Lambda functions can also
interact directly with other AWS
services

34. How about a Connected Car

35. Connected Car
Each Car with a GreenGrass Core with sensors sending data to it

36. What features - Connected Car Platform
Connected Vehicle Cloud
• Secure data consumption
• Vehicle health reports
• Anomaly detection
• Diagnostics alerts
• Map Integration
• Mobile Companion Application
Infotainment / eCommerce
• Head Unit AGL Prototype
• Alexa Voice Services
• Facial recognition
• Hands-free accessibility
• Location-based offers
• Music Integration
• Amazon Video Integration

37. AWS Components for Connected Vehicle

38. Connected Vehicle
AWS Connected Vehicle Cloud Reference Architecture

39. On the vehicle
AWS Connected Vehicle Cloud Reference Architecture

40. AWS IoT Ingest
AWS Connected Vehicle Cloud Reference Architecture

41. Just-in-Time Registration
AWS Connected Vehicle Cloud Reference Architecture

42. Storage and Delivery
AWS Connected Vehicle Cloud Reference Architecture

43. Anomaly Detection
AWS Connected Vehicle Cloud Reference Architecture

44. Aggregated Telemetry Data
AWS Connected Vehicle Cloud Reference Architecture

45. Drive Score Algorithm
AWS Connected Vehicle Cloud Reference Architecture

46. DTC Detection
AWS Connected Vehicle Cloud Reference Architecture

47. Connected Vehicle APIs
AWS Connected Vehicle Cloud Reference Architecture

48. Authentication and Authorization
AWS Connected Vehicle Cloud Reference Architecture

49. AWS Connected Vehicle Cloud
AWS Connected Vehicle Cloud Reference Architecture

50. Demo Time!!

51. IoT and Serverless
• AWS IoT takes advantage of Serverless Capabilities
• Scale on demand
• Respond to Events:
• Complex Event Processing
• Triage through queues
• Focus on Benefits
• Innovate and Iterate Fast

52. IoT Device SDK

53. Thank you
Twitter: @madhushekar23
Linkedin: /in/madhusudanshekar