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Neotys PAC - Todd De Capua

Neotys PAC - Todd De Capua

Neotys organized its first Performance Advisory Council in Scotland, the 14th & 15th of November.
With 15 Load Testing experts from several countries (UK, France, New-Zeland, Germany, USA, Australia, India…) we explored several theme around Load Testing such as DevOps, Shift Right, AI etc.
By discussing around their experience, the methods they used, their data analysis and their interpretation, we created a lot of high-value added content that you can use to discover what will be the future of Load Testing.

You want to know more about this event ? https://www.neotys.com/performance-advisory-council

Neotys organized its first Performance Advisory Council in Scotland, the 14th & 15th of November.
With 15 Load Testing experts from several countries (UK, France, New-Zeland, Germany, USA, Australia, India…) we explored several theme around Load Testing such as DevOps, Shift Right, AI etc.
By discussing around their experience, the methods they used, their data analysis and their interpretation, we created a lot of high-value added content that you can use to discover what will be the future of Load Testing.

You want to know more about this event ? https://www.neotys.com/performance-advisory-council

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Neotys PAC - Todd De Capua

  1. 1. It's time to get practical, beyond the hype, and get sh*t done. 3 top challenges face every organization today, which cannot be ignored, and in 2018 will need to be addressed. Todd DeCapua
  2. 2. Performance Security Function Results It'stimetogetpractical,beyondthehype,andgetsh*tdone. Quick Venn Diagram Alignment
  3. 3. It'stimetogetpractical,beyondthehype,andgetsh*tdone. • I am sick of the hype • 3 top challenges for 2018 1. Big Data / Machine Learning / Artificial Intelligence 2. Blockchain 3. Internet of Things (IoT) • Let’s take a closer look at each • Introduction • Deep Dive • Future and How-To’s • Summary and takeaway’s • Next steps and timing Agenda
  4. 4. Big Data / ML / AI
  5. 5. BigData/MachineLearning /ArtificialIntelligence Introduction
  6. 6. BigData/MachineLearning /ArtificialIntelligence • Do we know all the data points? • Have all the algorithms been defined? • Where are all the ‘processing engines’? • Are there unique protocols? • What are the volumes / size of data? • How do we create, reset and refresh? Deep Dive
  7. 7. BigData/MachineLearning /ArtificialIntelligence How-To’s • Define the objective(s) • Break down into sub-cycles • Map the flow and scenarios • Create the environment • Create the data • Validate algorithm(s) • Validate data / feeds • Review results Future and How-To’s Forrester Quote: Predictions 2018 – A Year of Reckoning “In 2018, 75% of AI projects will underwhelm because they fail to model operational considerations, causing business leaders to reset the scope of AI investments — and place their firms on a path to realizing the expected benefits.” https://go.forrester.com/2018-predictions/ FORRESTER.COM/PREDICTIONS
  8. 8. https://www.dynatrace.com/blog/auto-mitigation-with-dynatrace-ai-or-shall-we-call-it-self-healing BigData/MachineLearning /ArtificialIntelligence DynaTrace: Automated Mitigation with AI Data
  9. 9. Blockchain
  10. 10. Blockchain Introduction
  11. 11. Blockchain • Do you have line of sight? • What are all the elements? • Who is in your blockchain? • What is your blockchain business case? • Do we know the protocols? • How different is this from EDI? Deep Dive
  12. 12. Blockchain • Define business case • Outline workflows • Public vs. Permissioned blockchain • Research: Mattias Scherer Future and How-To’s Gartner Quote: Top 10 Strategic Technology Trends for 2018 “Blockchain is a powerful tool for digital business because of its ability to: •Remove business and technology friction; •Enable native asset creation and distribution; •Provide a managed trust model.” https://www.gartner.com/document/3811368 Research: https://umu.diva-portal.org/smash/get/diva2:1111497/FULLTEXT01.pdf
  13. 13. https://www.slideshare.net/ATASlides/atagtr2017-blockchain-based-testing Agile Testing Alliance Global Testing Retreat 2017 Blockchain
  14. 14. Internet of Things [IoT]
  15. 15. InternetofThings[IoT] Introduction
  16. 16. InternetofThings[IoT] • What are the things should we care about? • How are things interacting with other things? [when and how much] • When do things cause too much data and traffic? [why does it matter] • What does the future of things look like? • Are their new things business models for companies? Deep Dive
  17. 17. InternetofThings[IoT] • Focus on components • Recreate accurately • Verify the things [how many, where, what] • Ensure network conditions • Offline conditions and results • Think about security of things Future and How-To’s https://451research.com/images/Marketing/IoT/IoT_Taxonomy_12.1.15.pdf
  18. 18. InternetofThings[IoT] Future and How-To’s Video: https://youtu.be/5L-r1YWlJXM Download: http://marketplace.microfocus.com/appdelivery/content/coap-protocol https://www.youtube.com/watch?v=R2rQu2D5aas LoadRunner Community Edition: https://software.microfocus.com/en-us/download/loadrunner
  19. 19. Howdoyourecreatethenetwork? Quick Intro to Apposite Technologies Advanced Emulators for Complex Network Topologies • 15 separate profiles per Emulation Engine – Per Client Emulation 10,000+ • Multiple independent Emulation Engines • Link speeds from 300 bps to 40 Gbps • Advanced link modeling • Each Path Emulates: – Bandwidth – Delay and Jitter – Loss – QoS, Background Utilization Netropy GUI Linktropy Traffic Monitor www.apposite-tech.com
  20. 20. Summary and Takeaway’s
  21. 21. Next Steps and Timing
  22. 22. AppPerfEng@gmail.com @AppPerfEng EffectivePerformanceEngineering.com Thank You

Editor's Notes

  • It's time to get practical, beyond the hype, and get sh*t done.  3 top challenges face every organization today, which cannot be ignored, and in 2018 will need to be addressed. 1] Big Data / Machine Learning / Artificial Intelligence 2] Blockchain 3] Internet of Things [IoT] We will perform a 'deep dive' session to cover these 3 topics, review solution options and approaches, so to be able to share practical outcomes you can apply now and into the future.
  • Some definitions (click on for link to more)
    Illustration (click on image for more)

  • How are these capabilities being used today?
    What are the business problems they are solving?
    Are new business ideas being created as a result?
    Can you put a value on what these capabilities mean to your organization?
    How does performance play a role?

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