1_DevOps'ish

Unforeseen incidents in technology are on the rise, with enduring effects on the systems we build as well as how users interact with them. With open source ecosystems increasing in complexity and growth as sociotechnical systems, we must examine how often these events are happening and if they are truly unexpected. This talk will explore a series of events in open source history, some of which came as a surprise to users of the open source project and industry as a whole, had a wide and long-lasting impact on technology, or was inappropriately rationalized after the fact with the benefit of hindsight. Julia Ferraioli Open Source Technical Leader @ Cisco @juliaferraioli julia traces her love of open source back to her time working in machine learning research. Since then, she has contributed to the release, care, and community of open source projects and the open source ecosystem at large. From helping develop strategy for projects to securing infrastructure, she works to secure the sustainability of open source for all. julia is currently enjoying some time off… during which she advocates for open source software, except that she doesn't get paid for it. Amanda Casari Open Source Scientist @ Google @amcasari Amanda Casari is an open source scientist in the Google Open Source Programs Office, where she is co-leading research and engineering to better understand risk and resilience in open source ecosystems. She enjoys creating anything which makes the data world more open and approachable, including co-authoring the O'Reilly book, Feature Engineering for Machine Learning Principles and Techniques for Data Scientists. She is persistently fascinated by the difference between the systems we aim to create and the ones that emerge. Amanda holds a B.S. in Control Systems Engineering from the United States Naval Academy and an M.S. in Electrical Engineering from the University of Vermont. -------- Sponsored by: -------- Stream is the # 1 Chat API for custom messaging apps. Activate your free 30-day trial to explore Stream Chat. https://gstrm.io/tsl

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