A Practical Guide for Portfolio Companies, Investors, and Advisors
The definitive guide to evaluating, optimizing, and managing cloud infrastructure across the complete M&A lifecycle—from pre-LOI screening through exit preparation.

Based on analysis of 127 portfolio companies and 73 structured interviews with PE professionals. Every benchmark, framework, and recommendation comes from actual observed results, not theoretical estimates.
Every technical decision is framed in terms of EBITDA impact, valuation multiples, and deal returns. No abstract architecture discussions—only analysis tied to financial outcomes.
The Technology Risk Assessment framework, risk-adjusted ROI calculations, and integration complexity scoring are proven tools from 50+ engagements, not theoretical constructs.
Tells you when to walk away from deals, when to negotiate price reductions, and when to proceed. Clear decision criteria with specific confidence intervals and timelines.
Unlike general FinOps books that teach operational practices, this book addresses the complete PE deal lifecycle—from evaluating targets during diligence through preparing for exit. Six phases, 24 chapters, and 10 comprehensive appendices with practical tools.
Evaluating cloud economics during diligence and setting realistic value creation expectations. Understand what's achievable in cloud optimization and avoid overpaying for uncertain savings.
At PE-backed companies preparing for diligence, optimizing cloud spend, and preparing infrastructure for exit. Translate technical work into EBITDA impact and valuation improvement.
Assessing cloud infrastructure and making recommendations that drive deal decisions. Distinguish necessary complexity from wasteful over-engineering with confidence intervals.
Working with portfolio companies on cloud optimization under pressure with limited resources. Battle-tested frameworks that deliver results in 100-day plans.
24 chapters organized across 6 phases of the PE deal lifecycle, from initial screening through exit preparation. Each chapter includes frameworks, case studies, and actionable checklists.
Technology Risk Assessment framework, deal-killer red flags
Cost per user/transaction, resume-driven development tax
Shadow IT detection, finding the hidden 62%
Essential questions, security assessment
Waste identification with confidence levels
EBITDA add-backs, multiple compression
Deal structure, when to walk away
Complexity scoring, timeline estimation
Network, compute, storage consolidation
Replatforming vs refactoring decisions
Migration strategies, cost optimization
Unified security posture, compliance mapping
FinOps implementation, cost allocation
Right-sizing, auto-scaling strategies
Team structure, skill development
Portfolio-wide savings opportunities
Centralized vs distributed models
Automation, monitoring, governance
Infrastructure improvements that maximize valuation
Disentanglement strategies, TSA planning
Cross-cloud optimization strategies
SaaS, fintech, healthcare, e-commerce patterns
Translating technical findings for boards
GPU costs, model training, inference optimization
Practical resources for technology leaders and investors
This checklist helps you identify cloud infrastructure waste across four categories, each with specific confidence levels for capture and execution timelines. Use this during due diligence to quantify optimization opportunities or post-acquisition to prioritize value creation initiatives.
This scorecard provides a systematic framework for evaluating technology risk in PE deals and translating technical findings into specific EBITDA multiple adjustments. Use the Quick Assessment for pre-LOI screening and the Comprehensive Assessment for detailed diligence.
This question bank provides a systematic framework for assessing cloud infrastructure during technical due diligence. Questions are organized by category and designed to reveal both technical reality and management capability.
This scorecard helps you assess integration complexity and associated risks when evaluating potential targets. Use this tool to evaluate the difficulty of combining technologies, data, and processes during an acquisition.
Get your copy of this comprehensive guide to cloud economics in private equity. Available in hardcover, paperback, and digital formats.
Cloud Economics for Private Equity is the first comprehensive guide addressing cloud infrastructure evaluation, optimization, and management across the complete M&A lifecycle. Written by Mark Richman, a Cloud Economics Advisor with expertise across 200+ customers including 50+ PE-backed companies, this book translates technical cloud infrastructure findings into financial impact—EBITDA adjustments, valuation changes, and deal pricing decisions.
Unlike theoretical frameworks, this book is grounded in empirical research from 127 portfolio companies analyzed between 2020-2025 across SaaS, fintech, healthcare tech, and e-commerce sectors. Combined with 73 structured interviews with PE professionals including investment partners, operating partners, and technical advisors, every benchmark and recommendation is based on actual observed results. The median optimization potential of 28% (25th percentile: 15%, 75th percentile: 42%) comes from real-world engagements, not estimates.
The book follows the complete PE deal lifecycle across six phases: Pre-LOI Screening (Chapters 1-3), Due Diligence (Chapters 4-7), Integration (Chapters 8-12), Optimization (Chapters 13-18), Exit Preparation (Chapters 19-20), and Advanced Topics (Chapters 21-24). Each phase includes battle-tested frameworks like the Technology Risk Assessment Framework, Waste Categorization with Confidence Levels, Risk-Adjusted ROI Calculations, and Integration Complexity Scoring.
Whether you're a CTO at a PE-backed company preparing for diligence, a PE investor evaluating cloud economics during deal screening, a technical due diligence advisor assessing infrastructure, or a value creation team member optimizing portfolio company spend, this book provides proven frameworks that deliver results. Learn to distinguish necessary complexity from wasteful over-engineering, translate technical findings into valuation adjustments, and optimize cloud infrastructure for maximum EBITDA impact.
The book includes 10 comprehensive appendices with due diligence checklists, economic models and calculators, cloud service comparison tables, a multi-cloud translation guide, vendor negotiation playbooks, and quick reference cards. Every chapter includes red flag checklists, case studies from actual engagements (details modified for confidentiality), and specific action items for CTOs, PE firms, and technical advisors.
While examples use AWS services and pricing (reflecting the author's background), all frameworks apply universally across cloud providers. Appendix F provides Azure and GCP equivalents for all AWS services discussed, making this book valuable regardless of your portfolio companies' cloud provider choices. Topics include Amazon EC2, S3, RDS, Lambda, ECS, EKS, and modern serverless architectures, with parallel coverage of Azure and Google Cloud Platform services.
The book directly addresses common issues in PE-backed technology companies: resume-driven development, over-engineering, shadow IT, zombie resources, and architectural complexity. Learn to identify the "resume-driven development tax," discover hidden cloud spend (finding the hidden 62%), categorize waste with specific confidence levels (90% for zombie resources, 70% for right-sizing, 50% for architectural changes), and prepare infrastructure for maximum exit valuation.
Cloud Economics for Private Equity is available in hardcover, paperback, and Kindle formats exclusively on Amazon.com. Join the community to receive bonus materials including downloadable calculators and templates, plus updates on future content.