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Data Center - Engineering Risks: Mitigating Vulnerabilities in Mission-Critical Infrastructure
Paperback
Series: Data Centers - Careers, Book 16
Publisher: Independently Published
Published: Aug 20 2026
Pages: 266
Weight: 0.69
Height: 0.56 Width: 5.50 Depth: 8.50
Language: English
Data centers have become some of the most consequential industrial infrastructure of our time, yet the engineering risks behind them remain poorly understood outside specialist circles. Behind every seemingly simple, windowless facility lies a tightly interconnected system of electrical, mechanical, structural, fire-safety, control, and cybersecurity disciplines-where one overlooked assumption can trigger a cascading failure.
Drawing on more than three decades of experience in industrial automation, instrumentation and control, operational technology cybersecurity, and critical infrastructure, this book examines data center risk from a uniquely cross-disciplinary perspective. It explores not only how individual systems fail, but how they interact-and how weaknesses in redundancy, independence, commissioning, maintenance, change management, and human decision-making can turn a manageable problem into a major outage.
The book moves from the fundamentals of availability, redundancy, and failure analysis into power, cooling, fire and life safety, operational technology, cybersecurity, and the human and organizational factors that often determine whether systems remain resilient under stress. It also addresses emerging challenges, including AI-driven power density, supply-chain vulnerabilities, climate pressures, and increasing dependence on digital infrastructure.
This is not simply a collection of checklists. It is a practical guide to developing engineering judgment-the ability to recognize hidden dependencies, challenge assumptions, identify failure modes, and ask the right questions before failure occurs.
For facility engineers, project leaders, consultants, risk professionals, and anyone responsible for critical digital infrastructure, the goal is simple: understand where the real risks live, connect the disciplines that influence them, and build data centers that remain reliable when reliability matters most.
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