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Hacking Kubernetes (Threat-Driven Analysis and Defense)

List Price: $65.99
SKU:
9781492081739
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  • Product Details

    Author:
    Andrew Martin, Michael Hausenblas
    Format:
    Paperback
    Pages:
    311
    Publisher:
    O'Reilly Media (November 16, 2021)
    Language:
    English
    ISBN-13:
    9781492081739
    ISBN-10:
    1492081736
    Dimensions:
    7" x 9.19"
    File:
    TWO RIVERS-PERSEUS-Metadata_Only_Perseus_Distribution_Customer_Group_Metadata_20251023163248-20251023.xml
    Folder:
    TWO RIVERS
    List Price:
    $65.99
    As low as:
    $56.75
    Publisher Identifier:
    P-PER
    Discount Code:
    C
    Case Pack:
    12
    Country of Origin:
    United States
    Pub Discount:
    60
    Weight:
    17.76oz
    Imprint:
    O'Reilly Media
  • Overview

    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 component's 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. You'll 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