Overview

Cloud infrastructure has become too important-and too expensive-to treat as a back-office IT concern. A $30M ARR healthcare SaaS company was spending $2.7M annually on AWS-9% of revenue, more than double the industry benchmark. During acquisition due diligence, the technical assessment revealed 40% of that spend was pure waste: development environments running 24/7 at production scale, databases provisioned at 4x actual utilization, and an unnecessarily complex Kubernetes implementation supporting just five microservices. The $200M deal closed at $175M. Within six months post-acquisition, straightforward optimization cut the cloud bill by $1.2M annually-$12M in enterprise value left on the table. This scenario plays out regularly in private equity transactions. Most PE firms lack the frameworks to properly evaluate cloud infrastructure economics during diligence. Technical assessments focus on security and scalability while missing the financial impact of architectural decisions. Meanwhile, portfolio companies struggle with cloud costs that grow faster than revenue, eroding EBITDA and limiting exit multiples. This book bridges that gap. Based on rigorous research: Analysis of 127 portfolio companies across 18 PE firms (2020-2025) 73 structured interviews with PE professionals across 41 firms Median optimization potential: 28% of cloud spend (range: 15-42%) Documented confidence intervals: 90% for zombie resources, 70% for right-sizing, 50% for architectural changes What you'll learn: The complete PE deal lifecycle for cloud economics-from pre-LOI screening through exit preparation. Evaluate targets during diligence with the Technology Risk Assessment framework that translates technical findings into valuation adjustments from +0.3x to -2.5x EBITDA. Identify waste with confidence levels that distinguish quick wins (90% confidence, 30 days) from complex architectural changes (50% confidence, 6-12 months). Calculate risk-adjusted ROI to prioritize optimization opportunities. Prepare infrastructure for exit with an 18-month optimization roadmap. Who this book is for: CTOs and VPs of Engineering at PE-backed companies who must optimize cloud spending, communicate technical decisions in economic terms, and prepare infrastructure for exit. Private Equity Investors and Partners who need to understand what's realistic in cloud optimization and set appropriate value creation expectations. Technical Due Diligence Advisors who assess cloud infrastructure and need to distinguish necessary complexity from wasteful over-engineering. Value Creation Teams who work with portfolio companies and need proven frameworks that deliver results under pressure. What makes this book different: Unlike general FinOps books that teach operational practices, this book addresses the unique challenges of PE-backed companies. Every technical decision is framed in terms of EBITDA impact, valuation multiples, and deal returns. The book calls out ""resume-driven architecture"" and over-engineering for what they are: value destruction. The frameworks are battle-tested, not theoretical. The Technology Risk Assessment framework, risk-adjusted ROI calculations, and integration complexity scoring emerged from actual engagements with documented results. Includes: Due diligence checklists for technical infrastructure assessment Economic models and TCO calculators Multi-cloud translation guide (AWS, Azure, GCP equivalents) Industry-specific benchmarks for SaaS, fintech, healthcare tech, and e-commerce Vendor negotiation playbook for cloud commitments

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