Kubernetes Security Engineering with Python : Policy Automation, Runtime Defense, and Cloud-Native Threat Detection
Language: English
Published by Amazon Digital Services LLC - Kdp Mai 2026, 2026
- Softcover
- New
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
AbeBooks seller since August 14, 2006
Condition: New
£ 70.15
Quantity: 2 available
Add to basketItem description from seller
Neuware - 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 Engineering 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. …
Seller Inventory # 9798197260918
- Title
- Kubernetes Security Engineering with Python : Policy Automation, Runtime Defense, and Cloud-Native Threat Detection
- Author
- Takehiro Kanegi
- Publisher
- Amazon Digital Services LLC - Kdp Mai 2026
- Publication year
- 2026
- Condition
- Neu
- Binding
- Taschenbuch
- Language
- English
- ISBN 13
- 9798197260918
- Item weight
- 717 grams
- Dimensions
- 229x152x38 mm
Kubernetes 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 Engineering 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.
"Synopsis" may belong to another edition of this title.
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