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Foundations of Scalable Systems (Designing Distributed Architectures)

List Price: $65.99
SKU:
9781098106065
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  • Product Details

    Author:
    Ian Gorton
    Format:
    Paperback
    Pages:
    337
    Publisher:
    O'Reilly Media (August 9, 2022)
    Language:
    English
    ISBN-13:
    9781098106065
    ISBN-10:
    1098106067
    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
    Case Pack:
    11
    As low as:
    $56.75
    Publisher Identifier:
    P-PER
    Discount Code:
    C
    Country of Origin:
    United States
    Pub Discount:
    60
    Weight:
    19.2oz
    Imprint:
    O'Reilly Media
  • Overview

    In many systems, scalability becomes the primary driver as the user base grows. Attractive features and high utility breed success, which brings more requests to handle and more data to manage. But organizations reach a tipping point when design decisions that made sense under light loads suddenly become technical debt. This practical book covers design approaches and technologies that make it possible to scale an application quickly and cost-effectively.

    Author Ian Gorton takes software architects and developers through the principles of foundational distributed systems. You'll explore the essential ingredients of scalable solutions, including replication, state management, load balancing, and caching. Specific chapters focus on the implications of scalability for databases, microservices, and event-based streaming systems.

    You will focus on:

    • Foundations of scalable systems: Learn basic design principles of scalability, its costs, and architectural tradeoffs
    • Designing scalable services: Dive into service design, caching, asynchronous messaging, serverless processing, and microservices
    • Designing scalable data systems: Learn data system fundamentals, NoSQL databases, and eventual consistency versus strong consistency
    • Designing scalable streaming systems: Explore stream processing systems and scalable event-driven processing