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Engineering Cloud Value at Scale: Automating FinOps Decisions Across DevOps, Platforms, and Multi-Cloud Environments
Paperback
Series: Engineering Cloud Value, Book 2
ManagementGeneral ComputersProgramming
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Publisher: Independently Published
Published: Feb 4 2026
Pages: 134
Weight: 0.54
Height: 0.29 Width: 7.00 Depth: 10.00
Language: English
Cloud costs are no longer a finance problem, they are a systems, automation, and engineering problem, and the teams that fail to recognize this are already falling behind.
Engineering Cloud Value at Scale shows how modern organizations move beyond dashboards, reports, and manual FinOps rituals to build automated, intelligent cost control directly into their platforms, pipelines, and decision systems. This book is not about tracking spend after the fact. It is about engineering predictability, efficiency, and business value into cloud operations at scale across DevOps, platform engineering, and multi-cloud environments.
You will learn how leading organizations transform FinOps from a reactive reporting function into an automated capability that continuously optimizes cloud usage, enforces governance, and aligns engineering decisions with business outcomes. The focus is on real-world enterprise complexity: multi-account architectures, Kubernetes and serverless platforms, AI and ML workloads, and rapidly scaling teams where manual controls simply do not work.
By reading this book, you will gain the ability to design systems that:
Automate cost-aware decisions instead of relying on human review cycles
Embed FinOps intelligence directly into CI/CD, IaC, and platform workflows
Optimize Kubernetes, serverless, GPU, and AI workloads without slowing delivery
Enforce governance through policy-as-code rather than meetings and approvals
Create continuous feedback loops that drive accountability and measurable ROI
What sets this book apart is its engineering-first approach to FinOps automation. Rather than focusing on tools or abstract frameworks, it explains how to build repeatable systems, guardrails, and operating models that scale with your organization. The emphasis is on automation, predictability, and value creation, not short-term cost cutting.
This book is written for engineers, platform teams, DevOps leaders, FinOps practitioners, and technology executives who are responsible for cloud outcomes, not just cloud bills. If you are operating at scale and want cloud spending to become a strategic advantage instead of a constant source of friction, this book gives you the blueprint.
If you are ready to stop reacting to cloud costs and start engineering value into every deployment, every workload, and every decision, Engineering Cloud Value at Scale is your next essential read.
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