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Pivotal & the big, noisy, dirty machines

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My look at what how Pivotal helps in the industrial world.

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Pivotal & the big, noisy, dirty machines

  1. 1. Pivotal & the big, noisy, dirty machines @cote October 2016 Slides: http://www.slideshare.net/cote/pivotal-and-iot 1
  2. 2. • @cote – Director, Marketing at Pivotal • Industry analyst at 451 Research and RedMonk • Corporate strategy and M&A at Dell • Software developer • More: cote.io/podcasts, http://cote.io, cote@pivotal.io, Register DevOps column. Hello! 2
  3. 3. Agile practices and collaboration for product and culture transformation • World class application development services • Proven transformational methodology Big Data & Analytics Modern, open, highly parallelized platform • Big data, in-memory, and database software • Industries most complete big data analytics offering Cloud Native Platform Modern, open, highly automated cloud platform • Platform-as-a-Service (PaaS) software with multi-cloud support • Record-breaking sales growth and adoption Agile Product Development
  4. 4. Crazy-making IoT numbers & hype 4 “The Industrial Internet is growing at twice the rate of the consumer Internet, with 20 billion devices generating 80 exabytes of data.” “…more than 40 percent of organizations expect the IoT to have a significant impact in the short term, and this number rises to more than 60 percent in the long term. Industries dealing with tangible equipment, products and services (such as retailers and manufacturers) are more likely to see the IoT as having a significant impact.” Sources: IDC; Pivotal analysis of AWS; Gartner IoT MQ; "Survey Analysis: The Internet of Things Is a Revolution Waiting to Happen," Gartner, 2015.
  5. 5. Turbines & Friends
  6. 6. 6 Source: “Cloud Foundry for the Internet of (Really Important) Things,” Harel Kodesh, 2015.
  7. 7. Sources: predix.io; IoT Keynote at TiECon, Harel Kodesh, May 2016. “No offense to the toothbrushes and rice cookers.” -the big, noisy, dirty machines 7
  8. 8. Conclusion: Software is eating your world too.
  9. 9. Are you great, or even good at software?
  10. 10. When it comes to digital strategy, it’s pretty much “drunk and disorderly” out there 10 Source: “Digital transformation: the what, the why and the how,” Nick Patience, 451 Research, Aug 2016; but April 2016 survey.
  11. 11. What is your IT organization's role in business innovation? Source: Institute for the Future study, April 2015, n=3,600; The Agile Advantage, MeriTalk/Accenture, May 2015; Cutter Consortium, July 2015;. Organizations are held back by an IT agility gap 11
  12. 12. How Pivotal thinks: Agile and Small Batches
  13. 13. After 17 years, “Agile” is not as wide-spread as we think it is – make sure you’re actually doing it Source: “Town Hall: Agile in the Enterprise,” Mike West, Nathan Wilson, Thomas Murphy, Dec 2015, Gartner AADI US conference.13
  14. 14. Use small batch thinking for more user centric design Inception Hypothesize Validate w/real use(r)s Did it work? Sources: “Good Software is a Series of Little Failures,” Coté, April 2016; The Lean Startup, Eric Ries, 2011. The Lean Enterprise, Barry O'Reilly, Jez Humble, and Joanne Molesky. See also overview of this approach at the IRS from Dec 2015. "Application Modernization, Service By Microservice," Kurt Bittner and Randy Heffner, Forrester, Dec 2015. Also: PDCA, OODA, and Bacon.14 “We did an analysis of hundreds of projects over a multiyear period. The ones that delivered in less than a quarter succeeded about 80% of the time, while the ones that lasted more than a year failed at about the same rate. We’re simply not very good at large efforts.” Large financial institution
  15. 15. Example approach, The Pivotal Way 15 Source: Pivotal Labs, March 2016. See also “Agile Transformation in the Age of the 3rd Platform,” Al Hilwa , IDC, March 2016. Exploration Discovery
  16. 16. Small batches enable a user-centric approach 16 How much do I owe the IRS? Source: "Minimum Viable Taxes: Lessons learned building an MVP inside the IRS,” slides , Andrea Schneider & Lauren Gilchrist, 2015. Before After
  17. 17. Applying Small Batches to Industrial & IoT Cases
  18. 18. Pivotal’s View of IoT Edge Ingest React Hot Data Process (RTA) Store Analyze/ML Custom Apps 18
  19. 19. Analytics Data Apps Pivotal: A Platform for IoT Edge Ingest React Hot Data Process (RTA) Store Analyze/ML Custom Apps “Fast Data” “Big Data” 19
  20. 20. The Technology: Pivotal Cloud Foundry
  21. 21. Pivotal Cloud Foundry, layers & capabilities 21 Application Framework Runtime Platform Infrastructure Automation Infrastructure Dev Dev Ops BOSH Contract: 12 factor app Contract: BOSH Release Contract: Cloud Provider Interface IT Ops Culture Cloud Native Framework Tools Go Source: “Get Started on Pivotal's Cloud Foundry Stack,” Coté/The New Stack, Jan 2016.
  22. 22. A deep look at the cloud platform value line 22
  23. 23. Customers: Established Large Organization
  24. 24. Pivotal Labs & Pivotal Cloud Foundry Worldwide, cross industry adoption And many more... 24
  25. 25. IoT Leadership • 3 of world’s top 5 auto manufacturers • 2 of world’s top 3 industrial manufacturers • 2 of world’s top 3 fire & security companies • 2 of the world’s leading healthcare equipment makers • See more customer cases and technical background from the Data Science at Scale for IoT on the Pivotal Platform workshop. 25
  26. 26. Thanks!@cote | cote@pivotal.io Slides: http://www.slideshare.net/cote/pivotal-and-iot “We are uncovering better ways of developing software by doing it and helping others do it.” - The Agile Manifesto 26

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