Given the speed of change, rapid innovation, and the wide variety of standards and use cases that the Internet of Things (IoT) enables, organizations are increasingly looking at open source architectures for IoT in order to drive innovation and accelerate development. Join Cloudera and Red Hat for a joint webinar to learn more about an end-to-end architecture for IoT based on open source and open standards. In this session we'll showcase an end-to-end architecture for IoT highlighting Eclipse Kura, which is an open source stack for gateways and the edge, and Eclipse Kapua, an open source IoT cloud platform. 4 things to learn: * How to deploy an end-to-end open source architecture for IoT * The Eclipse IoT open source community and key projects * How to enable end-to-end analytics for IoT, including pushing machine learning models to the edge and * Industry 4.0 demo built on open source architectures and components

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AN END-TO-END OPEN SOURCE ARCHITECTURE
FOR THE INTERNET OF THINGS (IOT)
Dave Shuman - Industry Lead for IoT, Cloudera
James Kirkland - Chief Architect for IoT, Red Hat
Jonathan Cooper-Ellis - Solution Architect, Cloudera

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YOUR SPEAKERS TODAY…
James Kirkland
Chief Architect for IoT
Red Hat
Jonathan Cooper-Ellis
Solution Architect
Cloudera
Dave Shuman
Industry Lead for IoT
Cloudera

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CHALLENGE: PULLING TOGETHER THE BUILDING BLOCKS FOR IoT
Multi-service Gateway
IoT Integration Platform
Data Management | Advanced Analytics
IoT / M2M Communication
3. Data acquisition & control
8. Information processing & integration
4. Data pre-processing
7. Device Management
9. Data Management & Advanced
Analytics
1. Data endpoints
5. Edge intelligence & analytics
2. Field connectivity
6. Back-end connectivity
11. Enterprise Applications & Services
10. BI & Machine Learning
Foundation/Security/Management
Enterprise IT & Business Applications

4. 4
Open & Interoperable
Based on open source and open standards to ensure
interoperability and accelerate innovation
Modular Architecture
Integrated yet independent components that you
can utilize to make best of your existing investments
End-to-End Security
Enterprise-grade data security and compliance – from
the edge all the way through to storage and access
Deployment Flexibility
Deploy anywhere you want it – on the edge, on any
of the leading cloud platforms or in your data center
Open Source
KEY CHARACTERISTICS FOR AN END-TO-END IoT ARCHITECTURE

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Securely connect,
authenticate and manage
disparate connected devices
that speak different protocols
Apply analytics at the edge with
machine learning and business
rules to enable local, low-latency
decision making
Centralize IoT data processing,
analytics and machine learning
to enable deep business insights
and actionable intelligence
Enable integration with enterprise
and business applications to bridge
the gap between OT and IT
and reduce complexity
Tools to enable end-to-end data security, compliance, authorization and authentication
KEY FUNCTIONALITY FOR AN END-TO-END IoT ARCHITECTURE
Device Management
& Connectivity
Intelligent Edge Processing
& Analytics
Advanced Analytics
& Machine Learning
Business & Application
Integration
End-to-End Security & Compliance

6. OPEN SOURCE DEVELOPMENT
DRIVES RAPID INNOVATION
6
64% think open source is very or
extremely important in their
deployment of IoT
Source: IDC, Global IoT Decision Maker Survey, August 2016
“We believe the best way to support this
complex environment is to base our
commercial IoT platform, the Bosch IoT Suite,
on open source components and open
standards. These projects establish a
horizontal open technology for IoT and
provide the technical breeding grounds for
successful business ecosystems.”
- Dr. Stefan Ferber, VP of Engineering, Bosch Software
Innovations

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Why Open Source for IoT?
• Use open standards
• Take advantage of community innovation and advances
• Wider integration with platforms and devices
• Accelerate time to market to deliver solutions
• Maintain control of your IoT technology selection and licensing
• Iterate more quickly with less risk
• Lay the foundation for future system and requirements scaling

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ECLIPSE IoT OVERVIEW

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ADDRESSING ENTERPRISE IoT NEEDS
Data Management & Analytics
● Enterprise Data Mgmt
● Persistent Data Storage
● Big Data Processing & Analytics
● Real-Time Analytics
● Machine Learning
● Data Security & Compliance
Operational Technology (OT)
● Device Management
● Industrial protocols
● OT Middleware
● Intelligent gateways
● MQTT co-inventors
● OT security
Information Technology (IT)
● Messaging & Integration
● Business Rules & CEP
● Open Hybrid Platform-as-a-Service
● Enterprise Linux Platform
● IT security
Enterprise IoT open source community
Operational Technology (OT) Information Technology (IT)

10. 10 Source: Eclipse IoT Foundation
ECLIPSE IoT STACKS
TOOLS & SDKsONTOLOGIESSECURITY
CONSTRAINED DEVICES
Hardware
Abstraction Layer (HAL)
OS / RTOS
Communication Remote
Management
Field protocols IoT protocols
IOT CLOUD PLATFORM
Connectivity
MessageRouting
OS / PaaS
Device
Management
Data
Management
Event Management,
Analytics & UI
Device
Registry
Application
Enablement
GATEWAYS AND SMART DEVICES
RemoteManagement
Application Runtime
Data Management
& Messaging
OS / RTOS
Connectivity
Field protocols IoT protocols
Network Management

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DATA MANAGEMENT &
ANALYTICS PLATFORM
● Modular, secure, end-to-end architecture
● Streaming analytics and machine learning
● Open, interoperable on hybrid cloud
● Modern application agility and integration
Integrating IoT operating technology, data management, analytics, and applications
IoT
GATEWAYS
CONNECTED
“THINGS”
IoT
INTEGRATION HUB
ENTERPRISE
APPLICATIONS
OPEN END-TO-END IoT ARCHITECTURE

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CONNECTED
“THINGS”
Sensors,
Actuators,
Data Sources
Edge Processing
& Analytics
DATA MANAGEMENT &
ANALYTICS PLATFORM
IoT
INTEGRATION HUB
ENTERPRISE
APPLICATIONS
Data Integration,
Routing, Device
Command/Control
Application Development,
Deployment, Integration
Advanced Analytics
& Machine Learning
EDGE PROCESSING AND ANALYTICS
• Device connectivity
• Data transformation
• Intelligent routing
• Business logic
• Edge analytics & real-
time decisions
IoT
GATEWAYS

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Sensors,
Actuators,
Data Sources
Edge Processing
& Analytics
Data Integration,
Routing, Device
Command/Control
Telemetry Data
Application Development,
Deployment, Integration
Advanced Analytics
& Machine Learning
DATA MANAGEMENT &
ANALYTICS PLATFORM
DATA INTEGRATION, ROUTING, DEVICE COMMAND/CONTROL
• Device management,
security, and access
control
• Data aggregation
• Event processing
• Integration services
IoT
GATEWAYS
CONNECTED
“THINGS”
IoT
INTEGRATION HUB

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Sensors,
Actuators,
Data Sources
Edge Processing
& Analytics
Data Integration,
Routing, Device
Command/Control
Telemetry Data
Telemetry
Data
(CDH)
Advanced Analytics
& Machine Learning
Application Development,
Deployment, Integration
• Data ingest
• Stream / batch
processing
• Secure data storage
• Machine learning and
real-time analytics
DATA MANAGEMENT &
ANALYTICS PLATFORM
IoT
GATEWAYS
CONNECTED
“THINGS”
IoT
INTEGRATION HUB ENTERPRISE
APPLICATIONS
ADVANCED ANALYTICS AND MACHINE LEARNING
Machine Learning Model

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Sensors,
Actuators,
Data Sources
Edge Processing
& Analytics
Data Integration,
Routing, Device
Command/Control
Telemetry Data
Telemetry
Data
Application
Data
Advanced Analytics
& Machine Learning
Application Development,
Deployment, Integration
• Application lifecycle
management
• Integration services
• Self-service provisioning
• Hybrid cloud portability
via containers
IoT
GATEWAYS
IoT
INTEGRATION HUB
DATA MANAGEMENT &
ANALYTICS PLATFORM
CONNECTED
“THINGS”
ENTERPRISE
APPLICATIONS
APPLICATION DEVELOPMENT, DEPLOYMENT, INTEGRATION

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• Application lifecycle
management
• Integration services
• Self-service provisioning
• Hybrid cloud portability via
containers
Sensors,
Actuators,
Data Sources
Edge Processing
& Analytics
Data Integration,
Routing, Device
Command/Control
Telemetry Data
Telemetry
Data
Application
Data
Advanced Analytics
& Machine Learning
Application Development,
Deployment, Integration
IoT
GATEWAYS
IoT
INTEGRATION HUB
CONNECTED
“THINGS”
ENTERPRISE
APPLICATIONS
• Device management,
security, and access control
• Data aggregation
• Event processing
• Integration services
• Device connectivity
• Data transformation
• Intelligent routing
• Business logic
• Edge analytics & real-
time decisions
• Data ingest
• Stream / batch processing
• Persistent data storage
• Machine learning and
real-time analytics
OPEN SOURCE END-TO-END IoT ARCHITECTURE
CDH

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Sensors,
Actuators,
Data Sources
Edge Processing
& Analytics
Data Integration,
Routing, Device
Command/Control
Telemetry Data
Telemetry
Data
Application
Data
Advanced Analytics
& Machine Learning
Application Development,
Deployment, Integration
IoT
GATEWAYS
IoT
INTEGRATION HUB
CONNECTED
“THINGS”
ENTERPRISE
APPLICATIONS
END-TO-END ENTERPRISE GRADE SOLUTIONS FOR IoT
Enterprise Data Hub

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IoT
GATEWAYS
IoT
INTEGRATION HUB
ENTERPRISE
APPLICATIONS
CONNECTED
“THINGS”
DATA MANAGEMENT &
ANALYTICS PLATFORM
Real-Time
Analytics
Data Ingest
Real-Time
Processing
Data
Storage
Machine
Learning
Data
Security
Telemetry Data Application
Integration
Application
DataManagement
Data flow to derive deep business insights and actionable intelligence
END-TO-END ANALYTICS
Telemetry
Data

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Real-Time
Analytics
Data Ingest
Real-Time
Processing
Data
Storage
Machine
Learning
Data
Security
Telemetry
Data
Application
Integration
Application
Data
Data flow to derive deep business insights and actionable intelligence
END-TO-END ANALYTICS
Machine
Learning
IoT
GATEWAYS
IoT
INTEGRATION HUB
ENTERPRISE
APPLICATIONS
CONNECTED
“THINGS”
DATA MANAGEMENT &
ANALYTICS PLATFORM

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INDUSTRY 4.0 - DEMO

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The scenario
● A manufacturing company is incurring unplanned machine
downtime leading to increased maintenance and costs.
● Lack of a real-time view on asset condition makes it
difficult to predict downtime and therefore optimize factory
productivity.
● Lack of business and operations visibility due to inability
to correlate real-time with historic data results.
The goal
● Optimize production factory capacity by scheduling planned maintenance windows.
● Predict failures on connected machines to reduce downtimes & increase margins.
INDUSTRY 4.0 DEMO – BUSINESS CHALLENGES

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IoT
Gateways
IoT
Integration Hub
REMOTE
MAINTENANCE & SUPPORT
ON-SITE DATA ANALYTICS
MACHINE LEARNING &
ADVANCED ANALYTICS
Data Mgmt,
Analytics & ML
Manufacturing
Equipment
● Data ingest
● Stream / batch
processing
● Secure data storage
● Machine learning and
real-time analytics
● Device connectivity
● Data transformation
● Intelligent routing
● Business logic
● Edge analytics & real-
time decisions
● Device management,
security, and access
control
● Data aggregation
● Event processing
● Integration services
INDUSTRY 4.0 DEMO ARCHITECTURE

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EXAMPLE USE CASE: INDUSTRY 4.0 DEMO ARCHITECTURE: PROJECTS
IOT
Gateways
Connected
“Things”
OT Middleware
IOT
Integration Hub
App Data
Enterprise Applications
App
Integration
JDBC
Cloudera’s Distribution including Hadoop
(CDH)
Telemetry
Data
Management
MQTT
Management

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Device connectivity
Open standards – MQTT, AMQP, OPC-UA,
CoAP, HTTP(s)
Flexible deployment
Data management & analytics
Based on Apache open source ecosystem
libraries for machine learning & advanced
analytics
Open application interfaces
Enterprise visibility | real-time anomaly
detection | future-proof
Community innovation
Collaboration driven by some of the leading
enterprises in the IoT space
Any of the leading cloud providers
or your data center or hybrid cloud
No vendor lock-in
No rigid architectures or proprietary
formats & components
OPEN SOURCE, OPEN STANDARDS, FLEXIBLE DEPLOYMENT

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VALUE PROPOSITION
Open and interoperable
Future-proof open source architecture |
open standards | deployment flexibility
Modular
Avoid lock-in | capitalize on existing
investments
End-to-End Analytics
Analytics at the edge | advanced analytics
& machine learning | ML model execution at
the edge
Reduce risk and complexity
Simplify development, deployment, and
integration tasks | save costs
End-to-end security
Security across devices, access,
authentication and applications as well as
data in motion and at rest
Control your data
Privacy | security | regulatory

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Sensors,
Actuators,
Data Sources
Edge Processing
& Analytics
Data Integration,
Routing, Device
Command/Control
Telemetry Data
Telemetry
Data
Application
Data
Advanced Analytics
& Machine Learning
Application Development,
Deployment, Integration
IoT
GATEWAYS
IoT
INTEGRATION HUB
CONNECTED
“THINGS”
ENTERPRISE
APPLICATIONS
END-TO-END ENTERPRISE GRADE SOLUTIONS FOR IoT
Enterprise Data Hub

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TO LEARN MORE…
Sign up For a Deep Dive Visit the Cloudera Solutions Gallery

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THANK YOU