Recommended Books
Curated resources to deepen your knowledge of Kubernetes security, container security, and cloud-native practices.
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Kubernetes Security

Hacking Kubernetes
Andrew Martin, Michael Hausenblas
Threat-driven analysis of Kubernetes security covering attack patterns, defensive strategies, and real-world scenarios for securing container orchestration.
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Kubernetes Security and Observability
Brendan Creane, Amit Gupta
A holistic approach to Kubernetes security covering network policies, workload isolation, runtime protection, and observability best practices.
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Learning Kubernetes Security
Raul Lapaz
Comprehensive guide to securing Kubernetes clusters from build to runtime, covering authentication, authorization, network policies, secrets management, and incident response with Falco and Cilium. Updated 2nd edition.
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Docker and Kubernetes Security
Mohammad-Ali A'râbi
Implementing supply chain security and runtime protection for containers. Covers SBOMs, image hardening, vulnerability scanning with Trivy and Snyk, and CI/CD pipeline security. DevOps Dozen 2025 finalist.
View on AmazonKubernetes Fundamentals

Kubernetes: Up and Running
Brendan Burns, Joe Beda, Kelsey Hightower
The definitive guide to Kubernetes from its creators. Essential reading for understanding the platform before diving into security.
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The Kubernetes Book
Nigel Poulton
The #1 best-selling Kubernetes book, updated for 2025. Covers architecture, Pods, Deployments, Services, networking, and security with hands-on exercises.
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Kubernetes Best Practices
Brendan Burns, Eddie Villalba, Dave Strebel, Lachlan Evenson
Production-ready patterns and best practices for running Kubernetes at scale, including security considerations.
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Production Kubernetes
Josh Rosso, Rich Lander, Alex Brand, John Harris
Building successful application platforms with Kubernetes, covering networking, storage, security, and multi-cluster deployments.
View on AmazonContainer Security
AI/ML Security

The Developer's Playbook for Large Language Model Security
Steve Wilson
Practical guide to LLM security from the creator of OWASP Top 10 for LLMs. Covers prompt injection, data exposure, trust boundaries, and building secure AI applications.
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Machine Learning Security Principles
John Paul Mueller, Rod Stephens
Comprehensive coverage of ML security including adversarial attacks, model integrity, deepfakes, fraud detection, and ethical considerations in machine learning systems.
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DevSecOps
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These books complement our documentation. For hands-on learning, explore:


