Get hands on with the main components of AWS IoT Core. You will learn how to connect and manage your devices, secure device connections and data, process and act upon device data, and read and set device state at any time. You will see how the Device Gateway serves as the entry point for IoT devices connecting to AWS. The Device Gateway supports the MQTT, WebSockets, and HTTP 1.1 protocols. You will work with the high throughput Message Broker to securely transmit messages to and from all of your IoT devices and applications. The flexible nature of the Message Broker’s topic structure allows you to send messages to, or receive messages from, as many devices as you would like. It supports messaging patterns ranging from one-to-one command and control messaging, to one-to-one million (or more!) broadcast notification systems. You will set up the Registry to track device attributes and metadata and create a persistent, virtual version of each device known as the Device Shadow.  Finally, you will explore the Rules Engine to author rules within the management console or write rules using a SQL-like syntax. Join us if you are a cloud architect, device engineer, software developer, or firmware engineer.

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AWS IoT Core Workshop
Chris Snowden
Sr. Technical Account Manager
AWS/Enterprise Support
I O T 3 0 5
Max Jindal
Sr. Software Dev. Engineer
AWS/IoT Core

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“Outside of a dog, a book is man’s best
friend. Inside of a dog it’s too dark to
read.”
Groucho Marx
Comedian, Philosopher

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Agenda
1. AWS IoT Core review
2. Device shadow focus
3. Rules engine focus
4. New feature – Basic Ingest

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AWS IoT Core

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Authentication
and
authorization

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Device
gateway

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MQTT
home/ac/AAA/temperat
ure
home/ac/BBB/temperat
ure
home/ac/CCC/temperat
ure
home/ac/DDD/temperature
Device:
AAA
Device:
BBB
Device:
CCC
Device:
DDD
• Based on MQTT 3.1.1
with some deviation
• QoS 0 and 1
• Unique ClientID

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Message
broker

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Device
shadow

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AWS IoT shadow update example
IoT
device
AWS IoT Delta topic
+ =
{
“state”: {
“desired”: {
“led1”: “blue”,
“tempInF”: 60
}
}
}

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{
“state”: {
“reported”: {
“led1”: “red”,
“tempInF”: 85
},
“desired”: {
“led1”: “blue”,
“tempInF”: 60
}
}
}
AWS IoT shadow update example
IoT
device
AWS IoT Delta topic
{
“state”: {
“reported”: {
“led1”: “red”,
“tempInF”: 85
}
}
}
{
“state”: {
“delta”: {
“led1”: “blue”,
“tempInF”: 60
}
}
}
+ =

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{
“state”: {
“reported”: {
“led1”: “blue”,
“tempInF”: 85
},
“desired”: {
“led1”: “blue”,
“tempInF”: 60
}
}
}
{
“state”: {
“reported”: {
“led1”: “blue”,
“tempInF”: 85
}
}
}
AWS IoT shadow update example
IoT
device
AWS IoT Delta topic
+ =
{
“state”: {
“delta”: {
“tempInF”: 60
}
}
}

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{
“state”: {
“reported”: {
“tempInF”: 60
},
“desired”: {
“tempInF”: 60
}
}
}
AWS IoT shadow update example
IoT
device
AWS IoT Delta topic
{
“state”: {
“reported”: {
“tempInF”: 60
}
}
}
=+ No message sent

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AWS IoT device shadow topics (MQTT)
Update:
$aws/things/{thingName}/shadow/update
Delta:
$aws/things/{thingName}/shadow/update/delta
Get:
$aws/things/{thingName}/shadow/get
Delete:
$aws/things/{thingName}/shadow/delete
Documents:
$aws/things/{thingName}/shadow/update/documents

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Rules
engine

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Rules engine
Connects IoT to outside world
Transform message content
Enrich messages with contextual data
Filter erroneous or unnecessary messages
Route based on content
Decouples device software and cloud applications

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Example—Sending event to AWS services
Payload:
{
"temp": 33,
"wind": 1.02
}
MQTT topic:
pws/station123
"context":
{...},
"event":
{
"temp": 33,
"wind": 1.02,
"timestamp":
1000209900
}
Lambda
function
"deliveryStreamName":
{...},
"msgNNN":
{
"temp": 33,
"wind": 1.02,
"timestamp":
1000209900
}
Amazon
Kinesis
Firehose
Rule configured
on the topic

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Anatomy of a rule
SELECT newuuid() as eventId, topic(2) as deviceId,
rate as flowrate, ts
FROM telemetry/+/flow/v2
WHERE flowrate > 0
Action: Kinesis, partitionKey “${topic(2)}”
Transform SELECT
Input FROM
Filter WHERE
Route Action

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Anatomy of a rule
SELECT newuuid() as eventId, topic(2) as deviceId,
rate as flowrate, ts
FROM telemetry/+/flow/v2
WHERE flowrate > 0
Action: Kinesis, partitionKey “${topic(2)}”
Transform SELECT
Input FROM
Filter WHERE
Route Action

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Anatomy of a rule
SELECT newuuid() as eventId, topic(2) as deviceId,
rate as flowrate, ts
FROM telemetry/+/flow/v2
WHERE flowrate > 0
Action: Kinesis, partitionKey “${topic(2)}”
Transform SELECT
Input FROM
Filter WHERE
Route Action

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Anatomy of a rule
SELECT newuuid() as eventId, topic(2) as deviceId,
rate as flowrate, ts
FROM telemetry/+/flow/v2
WHERE flowrate > 0
Action: Kinesis, partitionKey “${topic(2)}”
Transform SELECT
Input FROM
Filter WHERE
Route Action

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Anatomy of a rule
SELECT newuuid() as eventId, topic(2) as deviceId,
rate as flowrate, ts
FROM telemetry/+/flow/v2
WHERE flowrate > 0
Action: Kinesis, partitionKey “${topic(2)}”
Transform SELECT
Input FROM
Filter WHERE
Route Action

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Understanding action components
Service unique parameters
For example, Amazon Simple Storage Service (Amazon S3) bucket and
key; Amazon Kinesis Data stream and partition key

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AWS IoT SQL example 1
• Select all /pump_status messages from factory/
• Use Amazon Machine Learning (Amazon ML) model vibration-
model, if the output is 1 process action
• Action: Republish to topic: factory/maint_required
SELECT * FROM 'factory/+/pump_status’
WHERE machinelearning_predict( 'vibration-model',
'arn:aws:iam::123456789012:role/my-iot-aml-role',
*).predictedLabel=1

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AWS IoT SQL example 2
Incoming payload:
{
"sensor":
{
"temp": 78.2,
"humid": 42.5
},
"bat_stat": "ok"
}
Action: Send to Amazon Elasticsearch Service indexed on timestamp key/value
SELECT (sensor.temp – 32) * 5/9 as celsius,
sensor.humid as humid, upper(bat_stat) as
battery, timestamp() as timestamp
FROM 'a/b'

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New feature—AWS IoT Basic Ingest

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Regular message flow

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Basic Ingest message flow
Basic Ingest

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New feature—AWS IoT Basic Ingest

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Any questions?

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Workshop hands-on activity guide
1. Device provisioning
2. Setting up Amazon Simple Notification Service (Amazon
SNS) topic
3. Setting up rules
4. Connecting to AWS IoT Core
5. Updating device shadow
6. Publishing telemetry data to Basic Ingest
Use AWS Region – us-west-2

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Thank you!
© 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved.
Chris Snowden
Max Jindal

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