Machine Learning with Python Cookbook: Practical Solutions from Preprocessing to Deep Learning 2nd Edition

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. You’ll learn: The DNA of a highly functional cloud FinOps culture A road map to build executive support for FinOps adoption How to understand and forecast your cloud spending How to empower engineering and finance to work together Cost allocation strategies to create accountability for cloud and container spend Strategies for rate discounts from cloud commitments When and how to implement automation of repetitive cost tasks How to empower engineering team action on cost efficiency