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SOFTWARE ARCHITECTURE: THE HARD PARTS: MODERN TRADE-OFF ANALYSES FOR DISTRIBUTED ARCHITECTURES

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    SOFTWARE ARCHITECTURE: THE HARD PARTS: MODERN TRADE-OFF ANALYSES FOR DISTRIBUTED ARCHITECTURES

    DOSTAWA ZA 0 zł!

    Neal Ford, Mark Richards, Pramod Sadalage, Zhamak Dehghani

    O'Reilly Media

    9781492086895

    17.7 x 23.5

    460

    Angielski

    miękka

    Torba bawełniana za: 7.99 zł zobacz więcej

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    There are no easy decisions in software architecture. Instead, there are many hard parts--difficult problems or issues with no best practices--that force you to choose among various compromises. With this book, you'll learn how to think critically about the trade-offs involved with distributed architectures.

    Architecture veterans and practicing consultants

    There are no easy decisions in software architecture. Instead, there are many hard parts--difficult problems or issues with no best practices--that force you to choose among various compromises. With this book, you'll learn how to think critically about the trade-offs involved with distributed architectures.

    Architecture veterans and practicing consultants Neal Ford, Mark Richards, Pramod Sadalage, and Zhamak Dehghani discuss strategies for choosing an appropriate architecture. By interweaving a story about a fictional group of technology professionals--the Sysops Squad--they examine everything from how to determine service granularity, manage workflows and orchestration, manage and decouple contracts, and manage distributed transactions to how to optimize operational characteristics, such as scalability, elasticity, and performance.

    By focusing on commonly asked questions, this book provides techniques to help you discover and weigh the trade-offs as you confront the issues you face as an architect.

    Analyze trade-offs and effectively document your decisions

    Make better decisions regarding service granularity

    Understand the complexities of breaking apart monolithic applications

    Manage and decouple contracts between services

    Handle data in a highly distributed architecture

    Learn patterns to manage workflow and transactions when breaking apart applications

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