Cloud FinOps - Collaborative, Real-Time Cloud Financial Management

"FinOps brings financial accountability to the variable spend model of cloud. Used by the majority of global enterprises, this management practice has grown from a fringe activity to the de facto discipline managing cloud spend. In this book, authors J.R. Storment and Mike Fuller outline the process of building a culture of cloud FinOps by drawing on real-world successes and failures of large-scale cloud spenders. Engineering and finance teams, executives, and FinOps practitioners alike will learn how to build an efficient and effective FinOps machine for data-driven cloud value decision-making. Complete with a road map to get you started, this revised second edition includes new chapters that cover forecasting, sustainability, and connectivity to other frameworks"--

About the author

J.R. is Executive Director of the FinOps Foundation (a program of the Linux Foundation), co-author of O'Reilly's book on cloud financial management called "Cloud FinOps, Collaborative, Real-Time Cloud Financial Management", and was formerly the co-founder of Cloudability which was acquired by Apptio, where he served as the GM of Cloud & VP of Product. He has spent the last 25 years building web platforms and the last 10 working with thousands of the largest cloud spenders in the worldâ from GE to Nike to BP to Atlassian to Uber to Spotifyâ to design strategies to optimize and analyze their cloud financial management discipline.

Product details

• Authors: Mike Fuller, J.R. Storment, Jr Storment
• Publisher: O'Reilly
• Languages: English
• Product format: Paperback / Softback
• Released: 31.01.2023
• EAN: 9781492098355
• ISBN: 978-1-4920-9835-5
• Dimensions: 178 mm x 233 mm x 25 mm
• Weight: 770 g
• Subjects: Guides > Law, job, finance; Natural sciences, medicine, IT, technology > IT, data processing > Application software; BUSINESS & ECONOMICS / Personal Finance / General, COMPUTERS / Internet / General, COMPUTERS / System Administration / General, Cloud Computing, COMPUTERS / Distributed Systems / Cloud Computing