Master FinOps principles and tools on Google Cloud Platform. Learn to monitor, control, and optimize cloud costs through hands-on strategies, real-world use cases, and GCP-native solutions and frameworks.
Key Features:
- Learn FinOps tailored for GCP, from cost allocation and budgeting to cost governance and value realization.
- Optimize GCP spend, align engineering with finance, and support business efficiency.
- Through real-world use cases, hands-on tutorials, and tool-driven workflows using GCP-native services.
Book Description:
Google Cloud Platform offers significant scalability, but managing costs effectively is critical to realizing its value. The Cloud FinOps Playbook for Google Cloud is a practical guide to managing cloud spend and driving financial accountability on GCP.
Written for cloud architects, FinOps professionals, and platform engineers, this book connects core FinOps principles to the GCP ecosystem. You'll start with the foundations of cloud economics and GCP's billing structure, then build skills in cost allocation, budget management, usage monitoring with BigQuery and Looker Studio, and savings identification using the Google Cloud FinOps Hub.
The book also covers the dual role of AI in FinOps, that is, using AI for FinOps through agentic cost management, and applying FinOps for AI by establishing cost governance over AI workloads. You'll build automation for reporting and forecasting, implement quota guardrails, and drive financial accountability across engineering, finance, and operations teams.
By the end of this book, you'll be equipped to build a mature, automated, and collaborative FinOps practice on Google Cloud.
What You Will Learn:
- Apply FinOps principles to the Google Cloud environment, including AI workloads
- Establish the FinOps operating model, define roles, and enable cross-functional collaboration
- Navigate GCP billing models, pricing structures, FOCUS specs, and cost allocation strategies
- Set budgets, quotas, and alerts to manage cloud spend proactively
- Analyze usage with BigQuery and visualize spend trends in Looker Studio
- Optimize compute, storage, networking, and databases using FinOps Hub and native GCP tools
- Enforce financial guardrails to support a strong FinOps culture across the organization
Who this book is for:
This book is ideal for FinOps practitioners, cloud architects, platform engineers, and DevOps professionals who want to optimize cloud spend and implement financial accountability in Google Cloud environments. A working knowledge of GCP services, billing concepts, and basic cloud operations is assumed. Familiarity with tools like BigQuery and GCP IAM will be helpful but not mandatory.
Table of Contents
- The Google Cloud FinOps Framework
- Building the Cloud FinOps Operating Model
- Managing Your Cloud Bill Throughout Its Lifecycle
- Allocating Your Costs Using Resource Hierarchy, Tags, and Labels
- Understanding Cost Drivers Using BigQuery Billing Exports
- Leveraging FinOps Hub to Drive FinOps Capabilities
- Optimizing Compute and Containers
- Optimizing Storage
- Optimizing Databases and Data Warehouses
- Optimizing Cloud Operations
- Cost Optimization Governance at Scale
- Unlocking Cloud Efficiency with Unit Costing and Unit Economics
- Proactive Cost Controls with Policy as Code
- Building a Multi-Cloud FinOps Solution with Google Cloud Looker
- Maximizing AI Investments with Cloud FinOps
Lam, Eric: - Eric Lam is the Head of Value and FinOps in the Google Cloud Consulting organization. A passionate and strategic leader, Eric has over 20 years of experience working with Fortune 100 customers and partners to transform global organizations leveraging Google Cloud technologies. In partnering with cross-functional business leaders to deliver on enterprise scale technology initiatives, Eric is recognized for helping clients create sustainable business outcomes, drive financial accountability, and accelerate value realization through AI & digital transformation. Eric is a graduate of Harvard University and Boston College with degrees in Information Management and Computer Science.
Sharma, Pathik: - Pathik Sharma is a Cost Optimization Leader in Google Cloud's FinOps Consulting Practice, specializing in helping organizations maximize their cloud investments. As FinOps rapidly transforms cloud technology, Pathik has guided over 100 clients, partners, and industry experts in developing and implementing effective cloud cost management solutions. His work spans the entire FinOps lifecycle, from establishing governance and fostering cost-conscious cultures to deploying advanced AI-powered tooling. A passionate advocate for open-source collaboration, Pathik actively contributes to the FinOps Foundation community through insightful case studies and easy-to-understand FinOps sketchnotes. Prior to Google, he served as a Technical Advisor at Amazon Web Services. Pathik holds an MS in Computer Science from Stony Brook University. When he is not immersed in the world of cloud technology, he likes spending time with his wife Kejul and son Orion in New Jersey, exploring the depths as a scuba diver, or enjoying a game of pickleball. Connect with him on LinkedIn to learn more about Cloud FinOps.
Warner, Bruce: - Bruce Warner is a seasoned leader at the intersection of IT and Finance, dedicated to helping organizations realize tangible value from their technology investments. A co-founder and Practice Lead for the Cloud FinOps and Office of the CFO practices within Google Cloud's Consulting business, Bruce collaborates with IT and Finance executives to build robust Cloud FinOps capabilities and optimize P&L outcomes through strategic cloud adoption. Prior to Google, Bruce headed the Americas Cloud Economics team at AWS, building upon 30 years of experience in financial services and asset management at HPE and IBM. Bruce holds a BSE in Biomechanical Engineering from the University of Pennsylvania and an MBA in Finance from the University of Virginia's Darden School of Business. Bruce enjoys exploring new cuisines, traveling the world, and the ongoing pursuit of a respectable golf game in his free time.
