IoT – Customer Szenario

The “Internet Of Things” …

... is neither really about “Things” …

… nor really about “The Internet” …

… its about creating systems …

… that make our daily lives better …

… safer, more reliable, more efficient …

… and more fun! *

How do you define IoT?

* Clemens Vasters; Architect; Microsoft Azure

Smart Gadgets / Devices?

Grid

Renewables

Oil/Gas/Coal

Recovery and

Distribution

Points

of Sale

Restaurants

Hotels

Fuel

Stations

Patients

Clinics

Hospitals

Nursing

Homes

Mobile

Care

SafetySecurity

ComfortLighting

Automation

Manufacturing

Integration and

AutomationRemote

Servicing

Predictive and

Reactive

Maintenance

Water

Waste

Pollution

Control

Fire

Emergency

Public

Safety

Law

Enforcement

Letters

Packages

Containers

Tanks Bulkware

Games

Events

Sports

TelevisionStreaming

Traffic Buses

Cars

Trucks

Trains

Vessels

Aircraft

Bikes

Smart

Energy

Smart Pro

Services

Smart

Retail

Smart

Mobility

Smart

Logistics

Smart

Factory

Smart

Cities

Smart

Entertain-

ment

Smart

Health-

care

Smart

Building

Home

Smart Systems?

Krones AG

Manufacturing DemoIoT Showcase

Similarities?What is common in all scenarios?

Communication Patterns

TelemetryIngest

CommandThat‘s easy …

• Ingest rate

• Storage

• Security

• …

That‘s not so easy …

• Security

• Latency

• …

Analyse@ Scale

Big Data

• Data in Motion

TelemetryIngest

6

machines

20

sensors / machine

X 120

sensors

/

productionline

=

Let‘s do the math …

Communication Patterns

TelemetryIngest

Communication Patterns

4

productionlines

/

plant

120

sensors /

productionline

X 480

sensors

/

plant

=

Let‘s do the math …

TelemetryIngest

Communication Patterns

480

sensors

/

plant

60

telemetryingests

/

minute

X 1,728,000

ingests

/

hour

=

Let‘s do the math …

TelemetryIngest

Communication Patterns

1,728,000

ingests

/

hour

50

e.g. customers

X 86,400,000

ingests

/

hour

=

Let‘s do the math …

On a 24/7 basis

Hyper Scale is needed

MS ApproachSoftware as a Service

Platform as a Service

• Storage

• Service Bus / EventHub

• Compute

• Analytics

• …

Buy

Build

SaaS

PaaS

Services – Service Bus / Event HubOverview

Service Bus

Relay

Queue

Topic

Notification

Event Hub

Interactive Dashboard(s)Production Line(s)

Services – Service Bus / Event HubPartitions

Service Bus

Interactive Dashboard(s)Production Line(s)

* 1 Mio Producers* 1 GB/sec aggregate

per EventHub

Event Hub

Reader 1Reader 2Reader 3 ….

Reader 1Reader 2Reader 3 ….

Consumer Group

Throughput Units 1 MB/s writes2 MB/s reads

Demo TimeCreation / Ingest

var https = require('https');

var crypto = require('crypto');

var namespace = 'RobEichDevEventHub-ns';

var hubname ='demoeventhub';

var partitionKey = 'mytessel';

var eventHubAccessKeyName = 'EventHubKey';

var createdSAS = 'SharedAccessSignature

sr=https%3A%2F%2FRobEichDevEventHub-

Fmytessel%2Fmessages&sig=cmwmWeUD%2FBvXC%2Fn

zgPqbe1Kx4TB8NrksSZrOQK%2FjbaA%3D&se=141777460

2&skn=EventHubKey';

// Payload to send

var payload =

'{\"Temperature\":\"37.0\",\"Humidity\":\"0.4\"}';

Node.js Code// Send the request to the Event Hub

var options = {

hostname: namespace + '.servicebus.windows.net',

port: 443,

path: '/' + hubname + '/publishers/' + partitionKey + '/messages',

method: 'POST',

headers: {

'Authorization': createdSAS,

'Content-Length': payload.length,

'Content-Type': 'application/atom+xml;type=entry;charset=utf-8'

}

};

var req = https.request(options, function(res) {

res.on('data', function(d) {

process.stdout.write(d);

});

});

req.on('error', function(e) {

console.log('error');

console.error(e);

});

req.write(payload);

req.end();

Ingest

Where are we?

Egress

AnalyticsData in Motion vs. Data at Rest

Service BusProduction Line(s)

Telemetry

Event Hub Trend Calculation

AlarmEngine

Egre

ss/

Tran

sfo

rmat

ion Storage Dashboard(s)

Data in Motion Data at Rest Data in Motion

Services – Stream Analytics

Service BusEvent Hub

Stream Analytics

Transform• Temporal Joins• Filter• Aggregates• Projections• Time Windows

Enrich / Correlate• Other Streams• Data at Rest

Production Line(s)

Telemetry

Service BusEvent Hub

Storage

Demo TimeStream Analytics

• Data at Rest vs. Data in Motion

• IoT & Microsoft Azure a perfect fit• Azure Event Hub

• Azure Stream Analytics

• Azure Machine Learning

• Azure Storage

• Azure Sql Database …

• End-To-End IoT Solution

Summary / Take Aways

© 2014 Microsoft Corporation. All rights reserved. Because

Microsoft must respond to changing market conditions, it should

not be interpreted to be a commitment on the part of Microsoft,

and Microsoft cannot guarantee the accuracy of any information

provided after the date of this presentation. MICROSOFT MAKES

NO WARRANTIES, EXPRESS, IMPLIED OR STATUTORY, AS TO THE

INFORMATION IN THIS PRESENTATION.

Vielen Dank