9798197260918 - kubernetes security engineering with python: policy automation, runtime defense, and cloud-native threat detection de kanegi, takehiro (4 resultados)
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Librería: California Books, Miami, FL, Estados Unidos de AmericaCalifornia Books
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EUR 37,74
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Condición: New. Print on Demand.
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Librería: PBShop.store US, Wood Dale, IL, Estados Unidos de AmericaPBShop.store US
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EUR 42,71
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PAP. Condición: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
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Librería: PBShop.store UK, Fairford, GLOS, Reino UnidoPBShop.store UK
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EUR 37,75
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PAP. Condición: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
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Librería: CitiRetail, Stevenage, Reino UnidoCitiRetail
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Paperback. Condición: new. Paperback. Reactive PublishingKubernetes security requires more than basic cluster hardening. Modern cloud-native systems need automated policy enforcement, runtime monitoring, threat detection, and repeatable engineering workflows that can scale across complex infrastructure.Kubernetes Security Engine…ering with Python is a practical guide to building security-focused automation for Kubernetes environments. The book shows how Python can be used to inspect cluster configurations, analyze workloads, enforce security policies, detect risky runtime behavior, and support cloud-native defense workflows.Readers will learn how to approach Kubernetes security as an engineering discipline, connecting policy, observability, automation, and detection into a structured security program. Topics include Kubernetes architecture from a security perspective, pod and workload risk analysis, RBAC review, admission control concepts, policy-as-code workflows, runtime defense patterns, container image risk, cloud-native logging, and Python-based security tooling.Designed for security engineers, DevSecOps practitioners, platform engineers, cloud engineers, and advanced Python users, this book provides a clear framework for securing Kubernetes systems through practical automation and defensive engineering.Rather than relying on manual reviews or disconnected tools, readers will learn how to build repeatable Python workflows that support stronger Kubernetes security across development, deployment, and production environments. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
