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Database Reliability Engineering (Designing and Operating Resilient Database Systems)

List Price: $49.99
SKU:
9781491925942
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  • Product Details

    Author:
    Laine Campbell, Charity Majors
    Format:
    Paperback
    Pages:
    292
    Publisher:
    O'Reilly Media (December 19, 2017)
    Language:
    English
    ISBN-13:
    9781491925942
    ISBN-10:
    1491925949
    Dimensions:
    7" x 9.19"
    File:
    TWO RIVERS-PERSEUS-Metadata_Only_Perseus_Distribution_Customer_Group_Metadata_20251022163324-20251022.xml
    Folder:
    TWO RIVERS
    List Price:
    $49.99
    As low as:
    $42.99
    Publisher Identifier:
    P-PER
    Discount Code:
    C
    Case Pack:
    13
    Country of Origin:
    United States
    Pub Discount:
    60
    Weight:
    16oz
    Imprint:
    O'Reilly Media
  • Overview

    The infrastructure-as-code revolution in IT is also affecting database administration. With this practical book, developers, system administrators, and junior to mid-level DBAs will learn how the modern practice of site reliability engineering applies to the craft of database architecture and operations. Authors Laine Campbell and Charity Majors provide a framework for professionals looking to join the ranks of today’s database reliability engineers (DBRE).

    You’ll begin by exploring core operational concepts that DBREs need to master. Then you’ll examine a wide range of database persistence options, including how to implement key technologies to provide resilient, scalable, and performant data storage and retrieval. With a firm foundation in database reliability engineering, you’ll be ready to dive into the architecture and operations of any modern database.

    This book covers:

    • Service-level requirements and risk management
    • Building and evolving an architecture for operational visibility
    • Infrastructure engineering and infrastructure management
    • How to facilitate the release management process
    • Data storage, indexing, and replication
    • Identifying datastore characteristics and best use cases
    • Datastore architectural components and data-driven architectures