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    Writing High-Performance .NET Code book cover

    Writing High-Performance .NET Code by Ben Watson Summary

    Writing High-Performance .NET Code
    Ben Watson
    TechnologyEducationProductivity
    개요
    핵심 요점
    저자
    자주 묻는 질문

    Overview of Writing High-Performance .NET Code

    Dive into Microsoft engineer Ben Watson's essential guide for building blazingly fast .NET applications. Written from the trenches of Bing's server infrastructure, this technical masterpiece reveals optimization secrets that power systems handling millions of requests across thousands of machines.

    Similar books to Writing High-Performance .NET Code

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    「Writing High-Performance .NET Code」베스트 인용구

    “

    The default assumption should always be that the application needs fixing, not the framework, OS, or hardware.

    ”
    나만의 학습 방법 탐색하기
    Writing High-Performance .NET Code은 단순한 책이 아닙니다 — Technology의 마스터클래스입니다. 당신에게 가장 잘 맞는 방식으로 교훈을 흡수할 수 있도록 5가지 고유한 학습 모드를 제공합니다. 깊이 생각하는 사람이든, 빠른 학습자이든, 이야기를 좋아하는 사람이든, 당신의 스타일에 맞는 모드가 있습니다.

    빠른 요약 모드 - Writing High-Performance .NET Code 요약을 9분 만에 읽거나 듣기

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    Writing High-Performance .NET Code 요약 - 9분

    Writing High-Performance .NET Code의 핵심 아이디어를 이해하기 쉬운 포인트로 분해하여 혁신적인 팀이 어떻게 창조하고, 협력하고, 성장하는지 이해합니다.

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    플래시 카드 모드 - Writing High-Performance .NET Code에서 엄선한 10가지 핵심 인사이트

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    Writing High-Performance .NET Code에서 엄선한 10가지 핵심 인사이트

    Writing High-Performance .NET Code을 빠른 기억 단서로 압축하여 솔직함, 팀워크, 창의적 회복력의 핵심 원칙을 강조합니다.

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    재미있게 모드 - Writing High-Performance .NET Code의 교훈을 25분 스토리로

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    Writing High-Performance .NET Code의 교훈을 25분 스토리로

    생생한 스토리텔링을 통해 Writing High-Performance .NET Code을 경험하고, 혁신 교훈을 기억에 남고 적용할 수 있는 순간으로 바꿉니다.

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    개인화 모드 - Writing High-Performance .NET Code 요약을 0분 만에 읽거나 듣기

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    Crucial ConversationsThe Perfect MarriageInto the WildNever Split the DifferenceAttachedGood to GreatSay Nothing
    인기 카테고리
    Self HelpCommunication SkillRelationshipMindfulnessPhilosophyInspirationProductivity
    유명인 추천 도서
    Elon MuskCharlie KirkBill GatesSteve JobsAndrew HubermanJoe RoganJordan Peterson
    수상작 컬렉션
    Pulitzer PrizeNational Book AwardGoodreads Choice AwardsNobel Prize in LiteratureNew York TimesCaldecott MedalNebula Award
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    ManagementAmerican HistoryWarTradingStoicismAnxietySex
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    2025 Best Non Fiction Books2024 Best Non Fiction Books2023 Best Non Fiction Books
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    Chimamanda Ngozi AdichieGeorge OrwellO. J. SimpsonBarbara O'NeillWinston ChurchillCharlie Kirk
    BeFreed vs 다른 앱
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    핵심 내용

    1

    Beyond the Speed Limits: Unleashing .NET's True Potential

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    Imagine joining Microsoft's Bing team with a seemingly impossible task: build one of the world's fastest server applications using .NET-a framework many dismiss as "too slow for serious work." This was Ben Watson's reality in 2008, and the result? A system handling millions of low-latency requests across thousands of machines. The conventional wisdom that managed code can't compete with native code for performance isn't just outdated-it's fundamentally wrong. The truth is .NET makes it easy to write slow code when developers are careless, but with the right knowledge, it can deliver exceptional performance. Most bottlenecks stem from poor coding patterns rather than the framework itself. The modern JIT compiler employs sophisticated optimizations that can sometimes outperform native code, especially in memory allocation speed and fragmentation handling. "Measure, measure, measure!" This isn't just advice-it's the cardinal rule of high-performance .NET development. Even seasoned developers can be dangerously misled by intuition. Remember when Watson's team incorrectly blamed memory usage on a large dataset, only to discover it was actually assembly loading overhead? Before collecting performance data, define precisely what you're measuring-"memory" could mean private working set, commit size, heap size, or dozens of other metrics. Goals must be quantifiable: not "make it fast" but "working set memory usage should never exceed 1GB during peak load of 100 queries per second."

    2

    Memory Management: Mastering the Garbage Collector

    3

    Asynchronous Programming and Concurrency

    4

    Optimizing Class Design and Structure

    5

    Framework Navigation and String Handling

    6

    Building a Performance Culture

    7

    From Knowledge to Mastery: Your Performance Journey