Ultimate FinOps Earned Value Management

Stop Measuring Cloud Spend. Start Measuring Cloud Value.

Key Features
● Get a free one-month digital subscription to www.avaskillshelf.com.
● Value-driven cloud decision making using FinOps EVM to move beyond pure cost focus.
● Practical FinOps EVM indicator calculation for forecasting, tracking, and proving cloud impact.
● Governance and budgeting integration with FinOps EVM to align cloud investment with business outcomes.

Book Description
Cloud Cost Is a Number. Cloud Value Is the Story That Matters.

Most organizations can tell you what they spent on the cloud. Almost none can tell you what it was worth. Ultimate FinOps Earned Value Management is the book that changes that equation.

You begin with why cloud and technology business value needs a new lens and the foundations of both Earned Value Management and FinOps, then advance into the complete FinOps EVM framework covering how to calculate the key indicators, determine the right unit economics for your organization, and use data, tooling, and automation to make value measurement practical at scale. Each chapter builds progressively toward a complete picture of how cloud spending connects to real business outcomes.

The final section covers the budgeting process with FinOps EVM, forecasting cloud value with confidence, and driving organizational adoption from practitioner teams to senior leadership. By the end of the book, you will have the complete framework, the indicators, and the practical playbook to make every cloud investment visible, defensible, and aligned with the outcomes your organization actually cares about.

What you will learn
● Drive organizational adoption of value-driven cloud cost management using FinOps EVM.
● Integrate business value into cloud budgeting strategy and financial planning processes.
● Forecast cloud costs and value using FinOps EVM indicators and proven methodologies.
● Determine the right unit economics for your organization's cloud environment.
● Calculate all key Earned Value Management indicators within a FinOps context.
● Align cloud spending with business outcomes to prove impact at every level.

1. A New Lens for Cloud Value
2. Foundations of Earned Value Management
3. Introduction to FinOps
4. The FinOps EVM Framework
5. Calculating FinOps EVM Indicators
6. Data, Tooling, and Automation
7. Determining Unit Economics
8. The Budgeting Process with FinOps EVM
9. Forecasting with FinOps EVM
10. Driving Organizational Adoption
Appendix
Index

Anderson Candido Oliveira is a FinOps expert, technology leader, and Founder of Zephyr Globe with over 25 years of experience in IT, cloud financial management, and data analytics. He helps organizations optimize cloud costs, maximize business value, and drive innovation through strategic FinOps and cloud governance.

About the Technical Reviewer

Krishna Kandi has more than 22 years of experience in software design, software development, and system architecture across finance, communications, public safety, and enterprise technology domains. His work focuses on building reliable, high-availability software systems with strong data integrity, secure processing, and long-term maintainability. He has extensive experience with secure financial data systems, including regulatory reporting, multi-domain data synchronization, identity management, and high-volume event-driven processing. Mr. Kandi’s responsibilities include designing application frameworks, implementing replication aware logic, improving data access patterns, and defining consistency rules for distributed data flows.

Krishna Kandi’s career includes major modernization efforts involving FIN financial messaging systems, FIN Renewal, ISO 15022 message validation flows, distributed transaction systems, state-wide energy grid fault detection software, and unified cloud communications platforms. These systems require continuous responsiveness, precise processing, performance tuning, and strict reliability standards. His background includes deep expertise in distributed systems, high availability engineering, multithreaded processing, performance optimization, and end-to-end system design. He has also led engineering teams of more than 20 members and contributed to real-time communication software used by a wide range of business clients.

Throughout his career, Mr. Kandi has been entrusted with responsibilities combining hands-on development, application architecture, technical leadership, and long-range engineering planning. He continues to focus on reliable system design, software quality, engineer mentorship, and contributions to the broader engineering community through technical writing, papers, and participation in professional computing and engineering associations.