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Efficient Go (Data-Driven Performance Optimization)

List Price: $65.99
SKU:
9781098105716
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  • Product Details

    Author:
    Bartlomiej Plotka
    Format:
    Paperback
    Pages:
    499
    Publisher:
    O'Reilly Media (December 13, 2022)
    Language:
    English
    ISBN-13:
    9781098105716
    ISBN-10:
    1098105710
    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:
    8
    As low as:
    $56.75
    Publisher Identifier:
    P-PER
    Discount Code:
    C
    Country of Origin:
    United States
    Pub Discount:
    60
    Weight:
    27.84oz
    Imprint:
    O'Reilly Media
  • Overview

    With technological advancements, fast markets, and higher complexity of systems, software engineers tend to skip the uncomfortable topic of software efficiency. However, tactical, observability-driven performance optimizations are vital for every product to save money and ensure business success.

    With this book, any engineer can learn how to approach software efficiency effectively, professionally, and without stress. Author Bartłomiej Płotka provides the tools and knowledge required to make your systems faster and less resource-hungry. Efficient Go guides you in achieving better day-to-day efficiency using Go. In addition, most content is language-agnostic, allowing you to bring small but effective habits to your programming or product management cycles.

    This book shows you how to:

    • Clarify and negotiate efficiency goals
    • Optimize efficiency on various levels
    • Use common resources like CPU and memory effectively
    • Assess efficiency using observability signals like metrics, logging, tracing, and (continuous) profiling via open source projects like Prometheus, Jaeger, and Parca
    • Apply tools like go test, pprof, benchstat, and k6 to create reliable micro and macro benchmarks
    • Efficiently use Go and its features like slices, generics, goroutines, allocation semantics, garbage collection, and more!