Machines are Talking. Are You Listening?
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We are nearing the dawn of a very interesting age. From robotics, to smart homes, to web-connected lightbulbs, HVAC units, servers and routers—machines are in use everywhere. These machines have a lot to say, but what happens when you start listening? What things come to light and what new discoveries can you make? What questions can you now ask of your world? This session will explore the vast use cases where we have asked: Can I get data from that thing? If I can, what can it tell me? What happens if I Splunk it?
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Machines are Talking. Are You Listening?
- 1. Copyright © 2015 Splunk Inc. Machines are Talking. Are you listening? Michael Wilde Human, Revision 44.9
- 2. 2 ON THE WAY HERE TODAY I SAW AN INTERNET OF THINGS
- 3. It all starts here 9,296,200,130 11,337,025,000 Wall Outlets in US Home Business 3
- 4. 4 WE ARE SURROUNDED BY MACHINES YET ARE PERCIEVED AS DISTANT FROM EACH OTHER
- 5. 5 PEOPLE MAKE CONNECTIONS WITH EACH OTHER THROUGH OUR THINGS OVER WIRES AND WAVES
- 6. Make machine data accessible, usable and valuable to everyone. 6
- 7. A World of Connected Assets Internet of ThingsIndustrial Data Transportation | Energy | Utilities | Building Management Oil and Gas | Manufacturing Wearables, Home Appliances, Consumer Electronics, Gaming Systems, Personal Security, Set-Top Boxes, Vending Machines, Mobile Point of Sale, ATMs, Personal Vehicles Sensors, Pumps, GPS, Valves, Vats, Conveyors, Pipelines, Drills, Transformers, RTUs, PLCs, HMIs, Lighting, HVAC, Traffic Management, Turbines, Windmills, Generators, Fuel Cells, UPS 7 Retail | Home | Consumer Telemedicine | Connected Cars
- 8. 8 Splunk customer ingests data from elevators and office suite access Built a predictive model based on people movement to estimate lease renewal, expansion or termination
- 9. Data-Driven Refreshment Aggregate machine data from freestyle machines Insights into customer interactions and decisions Reduced Downtime and Increased Consumer Satisfaction Vending machine performance and diagnostics
- 10. Challenges in Industrial Landscape Data Collection & Analytics Batch Oriented/ Rear-View Approach Security and Privacy IT/OT Convergence Ad hoc Analysis of OT Data Correlate Data Across Application/Infrastructur e Silos CHALLENGES
- 11. Leading Platform for Industrial Data DevelopVisualize PredictAlertSearch Engineers Data Analysts Security Analysts Business Users 11 • Sensors • Pumps • GPS • Valves • Vats • Conveyors • Pipelines • Drills • Transformers • RTUs • PLCs • HMIs • Control Systems • Asset Management • Connected Assets • Security Appliances • Network Telemetry • Work Order Systems • Safety Applications • Web Services • Telecoms • Servers • Storage • Messaging Core OTIndustrial Devices Core IT
- 12. Use Cases for Industrial Data Anomaly Detection and Failure Forensics Industrial Cybersecurity Safety and Regulatory Compliance Preventative Maintenance Asset and Process Optimization 12
- 13. Sensor Data Delivering Millions of Dollars in Energy Savings • HVAC and SCADA control systems • Real-time power pricing from utilities • Live updates from power, water and gas meters
- 14. Robot Analytics to Improve Supply Chain Throughout 4%Increased Throughput per Distribution Center Aggregate machine data from robots Failure pattern detection and reporting Preventative maintenance scheduling
- 15. Remote freight train monitoring Energy efficiency calculations Driving strategy recommendations Over $1 Billion Saved
- 16. • Wearables • Home Appliances • Consumer Electronics • Gaming Systems • Personal Security • Set-Top Boxes • Vending Machines • Mobile Point of Sale • ATMs • Personal Vehicles • User & Communication Interfaces • Consumer Portals • Departmental & Homegrown Apps • Home Routers & Gateways • Device Cloud Applications • Authentication & Security Consumer Devices Core IT Leading Platform for IoT DevelopVisualize PredictAlertSearch Product Teams Cloud Operations Customer Support Business Users 16
- 17. Use Cases for Internet Of Things (IoT) Device Diagnostics Customer Experience and Engagement Security and Compliance Product Usage and Analytics 17
- 18. 18 The data & location driven workplace
- 19. 19
- 20. 20 Mobile App, Web & Badge Scanning • Scheduling Sessions Training Meetups • Data Capture using Splunk MINT SDK • Badges Scanned at every session
- 21. 21 Splunk Platform for IoT Data Connection and Collection Data Analytics Partner Ecosystem Developer Platform REST • Web Framework • SDKs: Java, .NET, JS • Modular Inputs • Virtual Indexes • Rest • SDKs • Universal Forwarder VIMI WFT
- 22. Make machine data accessible, usable and valuable to everyone. 22
- 23. HTTP Event Collector Supports DevOps and IoT data analysis needs at scale 23 DevOps & Developers IoT Devices & Applications 1. Standard API and logging libraries send events directly to Splunk 2. Libraries integrated into popular platforms and services Scales to Millions of Events/Second
- 24. Directly In to Splunk – No Forwarder 24
- 25. Splunk Becomes a Decision Hub Platform for Machine Data Ingest Measure Correlate Respond Collaborate 25
- 26. Cars as Telemetry Sensors Big Data Vehicle’s Acceleration, Braking, Battery Charge and Location Aggregate Data from Vehicles Remotely Shape Next-gen Electric Vehicles Optimize Charging Infrastructure Mining Electric Car of charging and charging locations Frequency Manage impact on the power grid the into customers driving habits Insights
- 27. Machines are Learning, too. 27
- 28. Splunk Track Day 28 A new tradition • Instructor-led private auto racing San Francisco/Area Team Building Data Gathering Direct ingestion of data from automotive monitoring ports
- 29. Why Splunk for IoT? 29 True big data collection – any velocity, variety or volume; scales from laptop to petabyte scale Powerful developer platform with extensible analytics framework and UI Supports multiple business models: OEM, MSP, Enterprise Licensing and Personal Use Cloud, on-premises, or hybrid deployments
- 30. Fully-integrated Enterprise Platform 30 Enterprise Scale & HA Secure Operation Splunk Apps Developer SDKs/API Enterprise Integration Any Data Any Source Collect & Index Data Search & Investigate Monitor & Alert Visualize & Report Correlate & Analyze Access Anywhere Manage Operations Platform for Operational Intelligence
- 31. Challenges of Listening to Machines Diverse Protocols and Standards Complex Device to Cloud Architectures Security and Privacy Human to Machine Component Data Volume, Variety and Velocity Correlate Data Across Application/ Infrastructure Silos CHALLENGES
- 32. EXPLORE YOUR WORLD ASK DIFFERENT QUESTIONS SPLUNK THE DATA Call to Action 1 32 32
Editor's Notes
- Energy efficiency is one of the most critical factors in any building project. It's estimated that commercial buildings consume nearly 20% of all energy in the U.S., the majority of which is used for lighting and indoor climate control. From site selection and layout to building materials and mechanical systems, energy efficiency is a primary goal at every stage in a building's lifecycle. In early 2012, McKenney's was enlisted to assist Gulf Power and its partner Chevron Energy Solutions in implementing a new energy management system at Eglin Air Force Base through Gulf Power's GSA contract services in Florida. At 724 square miles, Eglin is one of the largest military bases in the world and includes hundreds of buildings and a base population of about 17,000. The Enterprise Intelligence Group leveraged its in-house experience with Splunk to provide Eglin with continuous collection and aggregation of data from most of the energy management, building control systems and utility metering and monitoring systems on base, helping to monitor and analyze tens of thousands of sensors and data inputs from HVAC systems in more than 100 Eglin buildings. The new Eglin energy management system (EMS) will leverage the Splunk to provide dashboards that will help base maintenance staff to assess building performance and energy efficiency, generate automated Air Force/DoD energy usage reports, compare current energy usage with historical data, and enable the deployment of load shedding and load shifting strategies to take advantage of favorable electric rates. The project is projected to save about $2.5 million annually, with a payback period of less than three years.
- New York Air Brake’s Train Dynamic Systems Division is using Splunk to manage inter-train forces, the “slinky factor” inherent in large freight trains with 6 inches of flex between cars. With splunk, they are able to produce insight and reports allowing the owners of the locomotives they manage to better train the engineers, and better manage the acceleration and braking of the trains throughout thousand mile journeys. Managing this data with Splunk, they can produce 5-10% fuel savings for customers. For their largest customers this can mean a billion dollars in savings a year. Add the closing slide about competitive differentiators
- Now you can onboard data directly from any application or device– opening up new types of machine data to the benefits of Splunk analysis. The new Event Collector makes it simple and efficient to collect this data, scaling to millions of events per second, using a developer-friendly, standard HTTP/JSON API and logging libraries And NO FORWARDERS. Today it is possible to send data directly to Splunk using Modular Inputs or a TCP connection, however this is not an efficient or scalable solution. While log files and forwarders provide an efficient mechanism for typical log and syslog files, use of files and forwarders is not possible or necessarily a desired data collection method for the world of custom applications DevOps, Docker, and other packaged application environments. The same is true for the world of IoT event data, where devices/apps need have no local storage, and even intermediate event collection systems and partners would prefer to use a real-time interface to Splunk rather than create specific log files and use forwarders. The HTTP Event Collector (EC) uses a standard API and high-volume Splunk endpoint to allow events to be directly sent/collected at extreme velocity. The HTTP/JSON API is a developer-standard, whose simple but powerful functionality will be attractive to DevOps and custom application developers and operations managers. Without requiring new system configuration, log creation or administration support, developers can instrument their applications to understand usage flows, performance, error conditions and more. The interface/functionality is also a fit for IoT software developers to connect their devices either directly or via intermediate collection services. The data volumes supported by Splunk are ideal for the transactional and diagnostic data of devices such as Point-Of-Sale systems, vending machines, gaming consoles, automobiles and other devices/systems – opening up a new world of machine data to the benefits of Splunk analysis
- Splunk products are being used for data volumes ranging from gigabytes to hundreds of terabytes per day. Splunk software and cloud services reliably collects and indexes machine data, from a single source to tens of thousands of sources. All in real time. Once data is in Splunk Enterprise, you can search, analyze, report on and share insights form your data. The Splunk Enterprise platform is optimized for real-time, low-latency and interactivity, making it easy to explore, analyze and visualize your data. This is described as Operational Intelligence. The insights gained from machine data support a number of use cases and can drive value across your organization.
- Electric cars generate massive amounts of data every second - the vehicle’s acceleration, braking, battery charge and location. Even when a vehicle is not in motion, data can be streamed on the battery system and even tire pressure. Data is very useful for the driver but even more useful to Vehicle engineers who can aggregate the information for insights into customers driving habits. But also frequency of charging and charging locations other than their homes. Mining intelligence such as this shapes the next generation of electric vehicles and charging infrastructure.
- Splunk software provides an open, fully integrated platform. That means you can collect, index, analyze, report and predict on machine-generated data from a single product. It’s enterprise-ready with high availability and disaster recovery features, role-based access control and scales to index hundreds of terabytes per day. It’s an open platform with over 500 Splunk Apps available and allows for custom development.