Copyright © 2015 Splunk Inc.
Splunk for Industrial Data and the Internet of Things
Katipong S.
Lead Consultant SEA
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 or to include any such feature or functionality in a future release.
2
Splunk Company Overview
3
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
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
4
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 Applications Messaging
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
Structured RDBMS
SQL Search
Schema at Write Schema at Read
Traditional Splunk
Splunk Approach to Machine Data
6
ETL Universal Indexing
Volume Velocity Variety
Unstructured
7
Splunk for Industrial Data & the Internet of Things
REMOTE TROUBLESHOOTING
& PREVENTIVE MAINTENANCE
SECURITY & COMPLIANCE
DEVICE USAGE & CUSTOMER ANALYTICS
OPERATIONAL EFFICIENCY
IoT & Industrial Data Machine Data Sources
8
Operational Technology (ICS) Consumer Technology
Energy Oil & Gas Process Manufactur
ing
Medical Devices Telecom
Smart Building
Smart Home
Wearables Media
SCADA DCS Emerging Technology Other
• 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
Key Features for Industrial Data
9
By Default ,All Data Is Joined on Time
Advanced but Extensible Statistical Engine
Real-Time Event, Alarm and Data Processing
COLLECT DATA FROM ANYWHERE
SEARCH AND ANALYZE EVERYTHING
GAIN REAL-TIME OPERATIONAL INTELLIGENCE
The Power of Splunk
10
Power Extensibility
11
Splunk Web Framework R Project App
Apps & Capabilities for Industrial Data & Internet of Things
• DBConnect
• REST API and SNMP Modular Inputs
• Universal Forwarder for Raspberry Pi
Apps, Features & Partners
REST
12
New Splunk Eco-Systems
13
Copyright © 2015 Splunk Inc.
Use Cases
Building Smarter Transportation
Improving Safety
Reducing Fuel Costs
Improving On-Time Operations
Over $1 Billion in Potential Savings
15
Life Before SPLUNK
16
• 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
Immediate Business Impact
17
• 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
Q & A
Thank you