Splunk for Industrial Data and the Internet of Things
- 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. 2
- 3. 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
- 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 4
- 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 6 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 8 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 9 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 10
- 11. Power Extensibility 11 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 12
- 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 15
- 16. 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
- 17. 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
- 18. Q & A
- 19. Thank you