Unlocking the Potential: Deep dive into ocean of Ceramic Magnets.pptx
Pistoia Alliance USA Conference 2016
1. RED HAT, OPEN SOURCE AND THE
INTERNET OF THINGS
Ken Johnson
Sr. Director, Product Management
Red Hat
2. OPEN
SOURCE
LEADER
#
1
MORE THAN
90%
of the
FORTUNE
500
use
RED HAT
PRODUCTS &
SOLUTIONS. *
* Red Hat client data, 2015
1993 1999 2002 2006 2011 20122009 2013 2014
COUNTRIES
AWARD-WINNING
SOLUTIONS
500
S&P
COMPANY
NYSE:
RHT
2015
~9,300
EMPLOYEES
85
WORLDWIDE
OFFICES
35
4. We participate in and create community-
powered upstream projects.
We integrate upstream projects,
fostering open community platforms.
We commercialize these platforms
together with a rich ecosystem of
services and certifications.
PARTICIPATE
INTEGRATE
STABILIZE
(upstream projects)
(community platforms)
(supported products
platforms, and solutions)
1M+
Projects
COMMUNITY PROJECTS-TO-PRODUCTS
6. 6
OPEN-SOURCE IOT COMMUNITIES
The Eclipse Foundation
Eclipse IoT Project
Iot.eclipse.org
Goal: to provide open source
implementations of standards,
services and frameworks that
enable an Open Internet of Things.
9. 9
THE DATA-DRIVEN IoT
Devices are the eyes and ears of the intelligent system, not its brain.
DATADEVICES BUSINESS MODELS
10. 10
INTERNET OF THINGS INFORMATION
LIFECYCLE
Information triggers
pre-defined business rules
Summarized information
sent to back office
for deep analysis
New rules created and pushed to
business rules engine
New data analysis
optimizations
Controlled and
augmented by
domain experts
Field level
data analysis
DATA
Data emitted from
sensors, control panels,
actuators, human
interfaces, etc.
INTELLIGENCE
Actions driven from
information
INFORMATION
Data analyzed to drive
tactical action
KNOWLEDGE
Information stored in DB
and analyzed, yielding
optimized tactical tools.
11. 11
ENTERPRISE IoT ARCHITECTURE
DATACENTER
GATEWAYS
DEVICES
Driving datacenter function to the edge
• Business processing
• Reporting
• Long-term data analytics
• Data infrastructure
• Enterprise integration
• Software-defined storage
• Communications/messaging
• Data pre-processing
• Real-time data analytics
• Real-time actions/rules
• Software-defined storage
• Communications/messaging
• Data acquisition
13. 13
CRITICAL AREAS FOR IoT SUCCESS
M2M COMMUNICATION
PROTOCOLS
DEVICE
MIDDLEWARE
APPLICATION
M2M COMMUNICATION
INFRASTRUCTURE
BUSINESS APPLICATION
INTEGRATION
COMPLEX EVENT
PROCESSING
(CEP)
1 2 3 5 6
• Selecting and integrating
operating system, device
support/drivers
• Implementing the
business logic
• Optimizing
M2M protocols
• WAN cost reduction
• Security
• Decoupling of producers
and consumers of data
• Write speeds
• Real-time data streams
• Data storage
• Standard APIs
• Ready to use adapters for
standard applications
• CEP capabilities
• Application development
and lifecycle management
• Dashboards, user interaction
and interfacing
• Integration (big data, social
networks, enterprise IT)
1 2 3 5 6
• Device data management
• Device lifecycle
management
• Security
4
4 DEVICE MANAGEMENT
14. 14
Red Hat helps enterprises and partners
collect, communicate, transform, store, and
act upon critical data generated by the Internet
of Things.
RED HAT AND IOT
Our open-source solutions
• free you from proprietary lock-in and cost
escalation
• capture community innovation
• provide the enterprise-level security, reliability,
scalability and support required by the IoT
Converging the worlds of OT and IT
The Internet of Things is transforming operational technology - OT. Next-generation IP-based operational control systems can help businesses improve economics and automation.
Forward-looking companies are aligning OT and IT infrastructure as part of IoT initiatives. By unifying OT and IT systems and practices enterprises can optimize business processes and slash operating expenses.
When integrating OT and IT environments it is important to address both technological and organizational requirements.
Implement a tiered intelligent systems architecture to ensure high scalability, availability, and security.
Use IoT gateways to efficiently bridge the gap between the OT and IT realms.
Set strategic direction at the executive level to avoid turf wars.
Establish cross-functional teams to share knowledge and harmonize business practices.
By aligning OT and IT, enterprises can transform raw data into meaningful and actionable information that increases productivity, improves decision making, and boosts business results. For example…
Managing the information lifecycle:
In the IoT, the ability for newer, smarter devices to communicate with each other, with back-end datacenters, and with related systems requires data to be processed into information in different ways and in more than one location and direction.
Typically, we think of data being sent to and crunched in massive datacenters, producing analytics that can then be turned into intelligence for determining actions. But with the IoT, intelligent systems are redefining that process.
As the figure illustrates, tactical data processing can occur at the device level with data analyzed near field to allow immediate action to be taken. This field level data analysis prompts action based on pre-defined business rules. Once those actions occur, summary data is relayed to the back-office for deep analysis. Additional knowledge gained from that analysis determines how best to optimize the system and can result in new rules being set to improve process flow.
This is possible thanks to the addition of edge processing capabilities (more on that later). The constant feedback loop between tactical field operation and strategic process analysis allows decisions to be made as close as possible to the edge of the network. This results in reduced transmission costs and quicker decision time horizons, crucial factors in enterprise IoT implementations.