Title: AI-FIRST OBSERVABILITY : Predictive Insights for Ops: Designing Intelligent, Self-Observing, Predictive, and Autonomous Operations for Modern Cloud, AI, and Enterprise Platforms
Publisher: Independently Published Jun 2026
Publication Date: 2026
Language: English
ISBN 13: 9798184537542
Binding: Taschenbuch
Condition: Neu
Dimensions: 279 millimeters width by 216 millimeters height by 22 millimeters depth
Weight: 992 grams

About this title

Synopsis

Stop monitoring systems. Start building enterprises that think.

Modern enterprises generate billions of telemetry events every day—but visibility alone no longer guarantees reliability. The future belongs to organizations that can predict failures, understand complex systems, automate intelligent decisions, and continuously learn from every operational event.

AI-FIRST OBSERVABILITY is a practical, enterprise-grade guide to transforming traditional monitoring into predictive, autonomous, and business-aware operations. Written for architects, SREs, platform engineers, DevOps leaders, cloud professionals, and technology executives, this book shows how AI reshapes observability from passive dashboards into intelligent operational decision-making.

Inside, you'll learn how to:

Build AI-first observability architectures for modern enterprises
Engineer intelligent telemetry with OpenTelemetry
Apply AI for anomaly detection, root cause analysis, and incident prediction
Design knowledge graphs and digital twins for operational intelligence
Implement LLM-powered operations copilots and Agentic AIOps
Create self-healing, policy-governed autonomous operations
Master Kubernetes, cloud-native, hybrid, multi-cloud, and edge observability
Integrate observability with security, compliance, FinOps, and GreenOps
Connect operational intelligence directly to business outcomes
Govern AI responsibly with explainability, transparency, and enterprise controls
Lead organizational transformation toward AI-first operations
Design the autonomous enterprise of the future

Packed with enterprise architecture patterns, production lessons, realistic case studies, implementation frameworks, recommended diagrams, and 17 hands-on masterclass labs, this book goes far beyond explaining logs, metrics, and traces.

If you're ready to move from reactive monitoring to predictive intelligence, autonomous operations, and organizational intelligence, this book provides the roadmap.

Build systems that don't just report problems—build enterprises that understand themselves.

"About this title" may belong to another edition of this title.

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