Agentic Reliability Engineering : Building Agentic Systems That Think, Adapt, and Recover
by
David Jambor
Book Details
Format
Paperback / Softback
ISBN-10
834167313Y
ISBN-13
9798341673137
Publisher
O'Reilly Media
Imprint
O'Reilly Media
Country of Manufacture
GB
Country of Publication
GB
Publication Date
Nov 30th, 2026
Print length
400 Pages
Product Classification:
Systems analysis & designSystems analysis and design
Ksh 11,500.00
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Written for experienced SREs, platform engineers, and engineering leaders, this book presents a practical framework for designing systems that can learn, adapt, and operate safely at machine speed.
As modern systems grow in scale, speed, and complexity, traditional reliability practices are reaching their limits. Site Reliability Engineering (SRE) excels at automating repeatable and predictable operational tasks, enabling engineers to respond faster and operate at scale. But as systems become more dynamic and interconnected, reliability increasingly depends on decisions made in real time, under uncertainty, and across competing priorities. Agentic Reliability Engineering represents the next evolution of reliability. Instead of encoding every operational decision into runbooks and automation, engineers define intent, constraints, and principles, allowing systems to observe context, reason about trade-offs, and act autonomously within clear guardrails. Reliability shifts from human-driven reaction to system-driven decision-making, while remaining governable and accountable. Written for experienced SREs, platform engineers, and engineering leaders, this book presents a practical framework for designing systems that can learn, adapt, and operate safely at machine speed. By the end of this book, you'll be able to:Understand how reliability evolves from automation to autonomyDesign intent-driven agentic reliability boundariesImplement agent-driven incident response and learning loopsBuild observability and decision feedback that enables trust-based autonomyLead technical and cultural change toward scalable, trust-based autonomy
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