Sure, machine learning is nothing new. And artificial intelligence is nothing new. However, when we are starting to leverage these not-so-new “intelligence” tools in our work as test engineers, that is quite new. This webinar gives some advice based on some research over the last 2 years of burgeoning ideas about how we are going to conduct performance testing and engineering work with AI and ML. I mean really, could it be that systems just tune themselves now? Will they automatically adjust resource allocation smart than before? Will there be more valuable insights produced by a learning model that can find bottlenecks deeper and faster than ever before? Are AI and ML at the center of a self-healing system? And of course, will my work as a performance practitioner be made obsolete by these fancy new algorithms? Let’s have a tour of these ideas and inquiries and discuss the implications for our adoption and investment in AI and ML as a means of solving performance problems.
- general sense-making of AI and/or ML in performance work
- criteria to help determine the benefits to be realized by AI and ML
- ideas on how to evaluate tools that make claims to use AI & ML
- how to identify pitfalls related to the “hype” of AI & ML around performance
Come see Mark Tomlinson at STPCon Fall 2019 – Boston, Sept. 23-26
Mark Tomlinson – Puzzle Master & Performacologist, FreedomPay, Inc.
Mark Tomlinson is an industry-recognized performance tester, architect and engineer. His testing career began in 1992 with a comprehensive two-year test for a life-critical transportation system, a project which captured his interest for software testing, quality assurance, and test automation. After extended work at Microsoft, Hewlett-Packard, and PayPal, he has amassed much respect for his experiences with real-world scenario testing of large and complex systems and is regarded as a leading expert in software testing automation with a specific emphasis on performance. As the “Performacologist” Mark now works with small companies to make their systems faster, more scalable and more efficient. He shares his knowledge freely via the PerfBytes podcasts; a favorite at live events worldwide. He is dedicated to helping individuals and organizations adopt modern performance testing and engineering strategies, practices, and behaviors for better performing technology systems.