The IoT is a natural evolution of the world’s networks. Just as people became more connected by devices and applications during the explosion of the social media revolution, devices, sensors and industrial equipment are also becoming more connected—and are consuming and generating data at an unprecedented pace. Disparate and deployed connected devices can provide a unique touchpoint to real-world operations and conditions. Only few architectures and applications are designed to handle the constant streams of real-time events, sensor readings, user interactions and application data produced by massive numbers of connected devices. Use Splunk to collect, index and harness the power of the machine data generated by connected devices and machines deployed on your local network or around the world.

1. Copyright © 2015 Splunk Inc.
Splunk for Industrial
Data and the Internet
of Things
Katipong S.
Lead Consultant SEA

2. Safe Harbor Statement
During the course of this presentation, we may make forward looking statements regarding future events
or the expected performance of the company. We caution you that such statements reflect our current
expectations and estimates based on factors currently known to us and that actual events or results could
differ materially. For important factors that may cause actual results to differ from those contained in our
forward-looking statements, please review our filings with the SEC. The forward-looking statements
made in this presentation are being made as of the time and date of its live presentation. If reviewed
after its live presentation, this presentation may not contain current or accurate information. We do not
assume any obligation to update any forward looking statements we may make. In addition, any
information about our roadmap outlines our general product direction and is subject to change at any
time without notice. It is for informational purposes only and shall not be incorporated into any contract
or other commitment. Splunk undertakes no obligation either to develop the features or functionality
described orto includeany suchfeatureor functionalityina futurerelease.
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3. Splunk Company Overview
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Company
• Global HQs:
 San Francisco
 London
 Hong Kong
• 1,400 employees globally
• Annual Revenue:
$450.9M (YoY +49%)
• NASDAQ: SPLK
Products
• Free trial to massive scale
• Splunk products:
 Splunk Enterprise
 Splunk Cloud
 Hunk
 Splunk MINT
 Premium Apps
Customers
• 9,000+ customers
• Across 100 countries
• Small to large
organizations
• 75+ of the Fortune 100
• Largest license:
 400+ Terabytes/day

4. Big Data Comes from Machines
Volume | Velocity | Variety | Variability
GPS,
RFID,
Hypervisor,
Web Servers,
Email, Messaging,
Clickstreams, Mobile,
Telephony, IVR, Databases,
Sensors, Telematics, Storage,
Servers, Security Devices, Desktops
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5. 5
Turning Machine Data Into Business Value
Index Untapped Data: Any Source, Type, Volume
Online
Services
Web
Services
Servers
Security
GPS
Location
Storage
Desktops
Networks
Packaged
Applications
Custom
ApplicationsMessaging
Telecoms
Online
Shopping
Cart
Web
Clickstreams
Databases
Energy
Meters
Call Detail
Records
Smartphones
and Devices
RFID
On-
Premises
Private
Cloud
Public
Cloud
Ask Any Question
Application Delivery
Security, Compliance
and Fraud
IT Operations
Business Analytics
Industrial Data and
the Internet of Things

6. Structured
RDBMS
SQL Search
Schema at Write Schema at Read
Traditional Splunk
Splunk Approach to Machine Data
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ETL Universal Indexing
Volume Velocity Variety
Unstructured

7. 7
Splunk for Industrial Data & the
Internet of Things
REMOTE
TROUBLESHOOTING
& PREVENTIVE
MAINTENANCE
SECURITY &
COMPLIANCE
DEVICE USAGE &
CUSTOMER
ANALYTICS
OPERATIONAL
EFFICIENCY

8. IoT & Industrial Data Machine Data Sources
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Operational Technology (ICS) Consumer Technology
Energy Oil & Gas Process
Manufactur
ing
Medical
Devices
Telecom
Smart
Building
Smart
Home
Wearables Media
SCADA DCS Emerging TechnologyOther
• ICS (Industrial Control System) : Describes a system or process with many systems
• SCADA (Supervisory Control and Data Acquisition) : Geographically distributed monitoring
• DCS (Distributed Control System) : Process (batch or flow) with many data points
• Other : Custom embedded systems making up the rest of the IoT

9. Key Features for Industrial Data
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By Default ,All Data Is Joined on
Time
Advanced but Extensible
Statistical Engine
Real-Time Event, Alarm and Data
Processing

10. COLLECT DATA
FROM ANYWHERE
SEARCH
AND ANALYZE
EVERYTHING
GAIN REAL-TIME
OPERATIONAL
INTELLIGENCE
The Power of Splunk
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11. Power Extensibility
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Splunk Web Framework R Project App

12. Apps & Capabilities for Industrial Data
& Internet of Things
• DBConnect
• REST API and SNMP
Modular Inputs
• Universal Forwarder
for Raspberry Pi
Apps, Features & Partners
REST
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13. New Splunk Eco-Systems
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14. Copyright © 2015 Splunk Inc.
Use Cases

15. Building Smarter
Transportation
Improving Safety
Reducing Fuel Costs
Improving On-Time
Operations
Over $1 Billion in Potential Savings
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16. Life Before SPLUNK
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• Manual data batch analysis
• Excel was primary reporting tool
• No online or dynamic
interactivity
• Tedious, time consuming, and
very prone to human error!!!
There had to be a better way of doing
business than Excel engineering

17. Immediate Business Impact
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• Use SPLUNK to index
unstructured train data and
analyze fuel savings, in-train
forces, time to destination, and
driver compliance
• Customers are presented with
easy to understand
performance analytic
dashboards
• Real-time metrics and alerts
How would I describe SPLUNK > ?
Imagine if an Excel and SQL had a baby
and it grew up in a monastery becoming
enlightened, capable of expressing your
data’s inner meanings

18. Q & A

19. Thank you