Writing High-Performance .NET Code book cover

Writing High-Performance .NET Code by Ben Watson Summary

Writing High-Performance .NET Code
Ben Watson
Technology
Education
Productivity
Überblick
Wichtige Erkenntnisse
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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.

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Kurzfassung9Min

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Vertiefung42Min

Verwandle Wissen in fesselnde, beispielreiche Erkenntnisse

Lernkarten10 Erkenntnisse

Erfasse Schlüsselideen blitzschnell für effektives Lernen

Spaß25Min

Genieße das Buch auf unterhaltsame und ansprechende Weise

Wichtigste Erkenntnisse

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 The conventional wisdom that managed code can't compete with native code for performance isn't just outdated-it's fundamentally wrong.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

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Writing High-Performance .NET Code ist nicht nur ein Buch — es ist eine Meisterklasse in Technology. Um Ihnen zu helfen, die Lektionen auf die für Sie beste Weise aufzunehmen, bieten wir fünf einzigartige Lernmodi an. Ob Sie ein Tiefdenker, ein schneller Lerner oder ein Geschichtenliebhaber sind, es gibt einen Modus, der zu Ihrem Stil passt.

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"Crazy how much I learned while walking the dog. BeFreed = small habits → big gains."

@Matt, YC alum
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"Reading used to feel like a chore. Now it’s just part of my lifestyle."

@Erin, Investment Banking Associate , NYC
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"Feels effortless compared to reading. I’ve finished 6 books this month already."

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"BeFreed turned my guilty doomscrolling into something that feels productive and inspiring."

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"I never knew where to start with nonfiction—BeFreed’s book lists turned into podcasts gave me a clear path."

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117

"Perfect balance between learning and entertainment. Finished ‘Thinking, Fast and Slow’ on my commute this week."

@Raaaaaachelw
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"Crazy how much I learned while walking the dog. BeFreed = small habits → big gains."

@Matt, YC alum
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108

"Reading used to feel like a chore. Now it’s just part of my lifestyle."

@Erin, Investment Banking Associate , NYC
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254
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17

"Feels effortless compared to reading. I’ve finished 6 books this month already."

@djmikemoore
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"BeFreed turned my guilty doomscrolling into something that feels productive and inspiring."

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"BeFreed turned my commute into learning time. 20-min podcasts are perfect for finishing books I never had time for."

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