The second edition of this practical book provides a road map for adopting and maturing cloud FinOps in your organization, based on the experience of hundreds of real-world practitioners. Seven new chapters include forecasting, adopting Finops, partnering with engineering, sustainability, the UI of FinOps, and connectivity to other frameworks.

FinOps brings financial accountability to the variable spend model of cloud. As enterprises move aggressively to cloud, ownership of technology and financial decision-making has shifted to the edges of the organization away from procurement to engineering, architecture, and product teams. FinOps, having grown from a fringe practice to the de facto discipline managing cloud spend, is now practiced by the majority of global enterprises. This second edition provides a road map for adopting and maturing the discipline drawn from the experience of hundreds of real-world practitioners. Seven new chapters include forecasting, adopting Finops, partnering with engineering, sustainability, the UI of FinOps, and connectivity to other frameworks. There are updates throughout the book, including 150 new pages of best practices and dozens of new stories. Drawing on real-world successes and failures of large-scale cloud spenders, the book outlines the process of building a culture of cloud FinOps in your organization. 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. With this book, 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 Using unit economics to drive data-driven decision-making