In today’s hybrid, multi-cloud world, capacity planning is no longer a static spreadsheet exercise—it’s a dynamic, data-driven discipline that demands automation, intelligence, and scale. Capacity Engineering with Python and AI is a practical, hands-on guide for infrastructure engineers, SREs, and cloud architects who want to build modern capacity management systems that go beyond traditional monitoring.
This book shows you how to design and implement end-to-end capacity engineering platforms using Python, statistical forecasting, and AI-powered reasoning. You’ll learn how to collect and normalize telemetry across on-prem and cloud environments, build accurate forecasting models, detect anomalies before they become outages, and transform raw data into actionable insights.
Going further, the book introduces AI-augmented analysis using large language models to explain trends, prioritize risks, and recommend safe, auditable remediation actions—without sacrificing control or reliability.
Through real-world examples spanning AWS, Azure, Google Cloud, Kubernetes, and on-prem systems, you will build a complete pipeline: from metrics collection to automated, human-approved infrastructure changes using Terraform and Ansible.
Inside, you’ll learn how to:
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PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000. Artikel-Nr. L2-9798186942085
Anzahl: Mehr als 20 verfügbar