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Splunk software provides a scalable and versatile platform for machine data generated by all of the devices, control systems, sensors, SCADA, networks, applications and end users connected by today's networks. In this session we will discuss and demo how you can use Splunk software to gain insights into machine data generated by devices and control systems. We’ll cover common themes in use cases, and show you how to access the free apps and add-ons that simplify the connection and collection of data from both industrial systems and the Internet of Things. In addition we will introduce you to Splunk’s growing ecosystem of IoT and Industrial focused technology partners.
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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.
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Viasat Customer Presentation
1.
Copyright © 2016 Splunk Inc. Building Splunk Teams Steven VanWasshenova Service Performance Engineer ViaSat
2.
Agenda • Intro • Teams •
Service thinking • Inducing Intelligence • Conclusion
3.
Steven Van Wasshenova Customer Engineering team - Commercial Air Mobility Responsible for acting on the customer’s behalf to ensure service achievement SCRUM Master for ViaSat Splunk team 17 year background in IT & engineering at network service providers Splunk Champion, GSD’er
4.
ViaSat • Connecting the world – Multiple satellites & partnerships networks ê
ViaSat-1, WildBlue1, and Anik-F2 – Business areas ê Aviation ê Residential ê Broadcasting ê Defense ê Emergency Response + Public Safety ê Energy + Utilities ê Federal + Central Government ê Oil + Gas ê Public Transit
5.
6.
The Challenge How ready is Splunk for serious future data demands? Who can make Splunk flourish?
7.
The Challenge • Hire a team? – 1 architect, 1 admin, 1 power user, etc…. •
Educate a team? – Splunk, python, AWS, statistics, etc…. • Farm out a team – Splunk PS? Contractors?
8.
The Challenge • Searching for unicorns? – No amount of hiring certified people can facilitate Transition
processes – No amount of training can mimic Interpersonal processes – No amount of cost saving replaces Action processes
9.
The Challenge Just one more thing…this will “be DevOps”, right?
10.
Enabling People: Approach Reactive Take Consultative Approach Key data and metrics definition Brainstorm desired impact/ results Proactive Showcase Results
11.
A little advice There's a force in the universe that makes things happen. All you have to do is get in touch with it, stop thinking, let things happen, and be… the… ball…
12.
A little advice • Get in touch with it – Find out who/what/where/when/why? •
Stop thinking – Build it • Let things happen – Empower smart people and get out of the way • Be the ball – ???
13.
Service-based Teams “An intelligent man sees everything as relative. A wise man sees everything as related.” John Souders Product owner Partner relationships Steven Van Wasshenova
Scrum master Mobility Jeff Trujillo Dev team Splunk Chris Crocco Dev team Residential Adam Bloom Dev team RF Infrastructure Travis Hodson Dev Team Portal Igor Geyfman Dev Team Cloud infrastructure
14.
Service Thinking
15.
A little advice • Wait. What is the ball?! –
Operational Intelligence? ê “A category of methods and technology for gaining new operational visibility and discovering insights for IT and the business” – splunk.com
16.
Inducing Intelligence • Data – symbols or signs, representing stimuli or signals •
Information – Definition to data, gives meaning and purpose • Knowledge – Context to information (why is) • Wisdom – Unique experience to actor (why-do) Intelligence
17.
Inducing Intelligence • Key challenge – “Intelligence is the next stage of knowledge while wisdom is the final stage” –
“Intelligence leads to arguments. Wisdom leads to settlements.” – “An intelligent man preaches. A wise man reaches.” what to have or to possess (information) vs what to do, act or carry out (wisdom) • Solution: Establish group as facilitators helping close the Intelligence->Wisdom gap
18.
Inducing Intelligence “Knowing others is intelligence; knowing yourself is true wisdom.” “Mastering others is strength; mastering yourself is true power” Lao-Tzu – Inducing Intelligence in several ways: ê Empower micro-service owners through data ownership ê
Coordinate information extraction and collective knowledge ê Enable change through new operational insights ê Provide platform to share wisdom with service owners
19.
Enabling People Run classes on the SplunkSearch Language Brown bag sessions Internal “Roadshows” Splunk Deck of Cards Examples (ask your sales rep) Wiki with loads of examples and data Hipchat room and email distributions Library of training materials Decomposition of Splunk tools Common Information Model (fields & data sources)
20.
A Specific Example Reporting Key Metrics to Partner Provider • Back office shows transactions • Network shows volume or TCP connections •
Browser stats indicate orders • Desire from partner to alert and monitor what’s normal/ anomalous One Consolidated report— with consistent metrics • PLEASE ADD DASHBOARD OF CORRELATED DATA IN SPLUNK Result: Enhanced customer experience, enhanced service quality due to ability to catch unknowns and problems earlier
21.
Always Remember It’s your data as a business. Help each other, don’t live in your silo. The real power is in correlated data.
22.
Copyright © 2016 Splunk Inc. Thank You!