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Autor(en): 
  • Majors Charity
  • Campbell Laine
  • Database Reliability Engineering: Designing and Operating Resilient Database Systems 
     

    (Buch)
    Dieser Artikel gilt, aufgrund seiner Grösse, beim Versand als 2 Artikel!


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   Auf Bestellung (Lieferzeit unbekannt)
    Veröffentlichung:  November 2017  
    Genre:  EDV / Informatik 
     
    COMPUTERS / Data Science / Data Warehousing / COMPUTERS / Database Administration & Management / COMPUTERS / Distributed Systems / General / COMPUTERS / System Administration / Storage & Retrieval / Data Warehousing / Databases / Parallel processing
    ISBN:  9781491925942 
    EAN-Code: 
    9781491925942 
    Verlag:  O'Reilly 
    Einband:  Kartoniert  
    Sprache:  English  
    Dimensionen:  H 250 mm / B 150 mm / D 15 mm 
    Gewicht:  666 gr 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:

    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

      



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