Description: Hacking Kubernetes : Threat-driven Analysis and Defense, Paperback by Martin, Andrew; Hausenblas, Michael, ISBN 1492081736, ISBN-13 9781492081739, Like New Used, Free shipping in the US
Want to run your Kubernetes workloads safely and securely? This practical book provides a threat-based guide to Kubernetes security. Each chapter examines a particular components architecture and potential default settings and then reviews existing high-profile attacks and historical Common Vulnerabilities and Exposures (CVEs). Authors Andrew Martin and Michael Hausenblas share best-practice configuration to help you harden clusters from possible angles of attack.
This book begins with a vanilla Kubernetes installation with built-in defaults. Youll examine an abstract threat model of a distributed system running arbitrary workloads, and then progress to a detailed assessment of each component of a secure Kubernetes system.
- Understand where your Kubernetes system is vulnerable with threat modelling techniques
- Focus on pods, from configurations to attacks and defenses
- Secure your cluster and workload traffic
- Define and enforce policy with RBAC, OPA, and Kyverno
- Dive deep into sandboxing and isolation techniques
- Learn how to detect and mitigate supply chain attacks
- Explore filesystems, volumes, and sensitive information at rest
- Discover what can go wrong when running multitenant workloads in a cluster
- Learn what you can do if someone breaks in despite you having controls in place
Price: 48.88 USD
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End Time: 2024-11-01T02:12:37.000Z
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Restocking Fee: No
Return shipping will be paid by: Buyer
All returns accepted: Returns Accepted
Item must be returned within: 14 Days
Refund will be given as: Money Back
Book Title: Hacking Kubernetes : Threat-driven Analysis and Defense
Number of Pages: 311 Pages
Language: English
Publication Name: Hacking Kubernetes : Threat-Driven Analysis and Defense
Publisher: O'reilly Media, Incorporated
Item Height: 0.9 in
Publication Year: 2021
Subject: Cloud Computing, Security / General, Programming / Open Source, General
Item Weight: 19.1 Oz
Type: Textbook
Item Length: 9.1 in
Subject Area: Mathematics, Computers
Author: Andrew Martin, Michael Hausenblas
Item Width: 7.3 in
Format: Trade Paperback