KEYNOTE

Beyond the Unicorn Project: A Fireside Chat with Gene Kim, Mike Nygard, and Carin Meier

The Speakers are preparing the presentation abstract. More details will be available soon.


SPEAKER

Gene Kim

Author of The Phoenix Project, The Unicorn Project & Accelerate

Gene Kim is a Wall Street Journal bestselling author, researcher, and multiple award-winning CTO. He has been studying high-performing technology organizations since 1999 and was the founder and CTO of Tripwire for 13 years. He is the author of six books including The Unicorn Project, and co-author of the Shingo Publication Award winning Accelerate, The DevOps Handbook, and The Phoenix Project. Since 2014, he has been the founder and organizer of DevOps Enterprise Summit, studying the technology transformations of large, complex organizations.

SPEAKER

Michael Nygard

Architect @Cognitect & Author of the Best Seller "Release It!"

Michael Nygard strives to raise the bar and ease the pain for developers around the world. He shares his passion and energy for improvement with everyone he meets, sometimes even with their permission. Living with systems in production taught Michael about the importance of operations and writing production-ready software. Highly-available, highly-scalable commerce systems are his forte.  Michael has written and co-authored several books, including "97 Things Every Software Architect Should Know" and the best seller "Release It!", a book about building software that survives the real world. He is a highly sought speaker who addresses developers, architects, and technology leaders around the world.  Michael is currently Senior Vice President, Enterprise Architecture & Platform Development, for Sabre, the company reimaging the business of travel.

SPEAKER

Carin Meier

Data Engineer @reifyhealth

Carin Meier is a data engineer at Reify Health. She has a passion for Clojure and AI and has spoken at many conferences, including keynoting at OSCON and Strange Loop. She is the author of the O’Reilly book, “Living Clojure” and is both a committer and PPMC member of the Apache MXNet deep learning project.

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