舉報

會員
Node.js High Performance
最新章節:
Index
Node.jsisatoolwritteninC,whichallowsyoutouseJavaScriptontheserver-side.HighperformanceonaplatformlikeNode.jsisknowinghowtotakeadvantageofeveryaspectofyourhardware,helpingmemorymanagementactatitsbest,andcorrectlydecidinghowtoarchitectacomplexapplication.Donotpanicifyourapplicationsstartconsumingalotofmemory;insteadspottheleakandsolveitfastwithNode.jsbymonitoringandstoppingitbeforeitbecomesanissue.Thisbookwillprovideyouwiththeskillsyouneedtoanalyzetheperformanceofyourapplicationandmonitortheaspectsthatcanandshouldbe.StartingwithperformanceanalysisconceptsandtheirimportanceinhelpingNode.jsdeveloperseliminateperformancebottlenecks,thisbookwilltakeyouthroughdevelopmentpatternstoavoidperformancepenalties.Youwilllearntheimportanceofgarbagecollectionanditsbehaviour,anddiscoverhowtoprofileyourprocessor,allowingbetterperformanceandscalability.Youwillthenlearnaboutthedifferenttypesofdatastoragemethods.Movingon,youwillgettogripswithtestingandbenchmarkingapplicationstoavoidunknownapplicationtestzones.Lastly,youwillexplorethelimitsthatexternalcomponentscanimposeinyourapplicationintheformofbottlenecks.Byfollowingtheexamplesineachchapter,youwilldiscovertipstogettingbetterperformingapplicationsbyavoidinganti-patternsandstretchingthelimitsofyourenvironmentasmuchaspossible.
目錄(42章)
倒序
- coverpage
- Node.js High Performance
- Credits
- About the Author
- About the Reviewers
- www.PacktPub.com
- Support files eBooks discount offers and more
- Preface
- What this book covers
- What you need for this book
- Who this book is for
- Conventions
- Reader feedback
- Customer support
- Chapter 1. Introduction and Composition
- Performance analysis
- Getting high performance
- Summary
- Chapter 2. Development Patterns
- What are patterns?
- Node.js patterns
- Types of patterns
- Event-driven architecture
- Optimizations
- Summary
- Chapter 3. Garbage Collection
- Automatic memory management
- Summary
- Chapter 4. CPU Profiling
- The I/O library
- Summary
- Chapter 5. Data and Cache
- Data storage
- Database management systems
- Summary
- Chapter 6. Test Benchmark and Analyze
- Test fundamentals
- Summary
- Chapter 7. Bottlenecks
- Host limits
- Summary
- Index 更新時間:2021-07-16 20:40:28
推薦閱讀
- Spark大數據分析實戰
- 使用GitOps實現Kubernetes的持續部署:模式、流程及工具
- Live Longer with AI
- 大數據算法
- 軟件成本度量國家標準實施指南:理論、方法與實踐
- Lego Mindstorms EV3 Essentials
- LabVIEW 完全自學手冊
- 大數據技術入門
- 達夢數據庫運維實戰
- Chef Essentials
- Solaris操作系統原理實驗教程
- Unreal Engine Virtual Reality Quick Start Guide
- 數據庫與數據處理:Access 2010實現
- Spring MVC Beginner’s Guide
- 數據庫查詢優化器的藝術:原理解析與SQL性能優化
- 深入理解Flink:實時大數據處理實踐
- TypeScript Microservices
- 新基建:大數據中心時代
- 騰訊大數據構建之道
- OLAP引擎底層原理與設計實踐
- MySQL技術大全:開發、優化與運維實戰(視頻教學版)
- 高階產品經理必修課:企業戰略驅動下的數據體系搭建
- NoSQL精粹
- 數據挖掘技術及其在恒星光譜分析中的應用研究
- 大數據技術和應用
- 低代碼極速物聯網開發指南:基于阿里云IoT Studio快速構建物聯網項目
- Oracle DBA手記
- Hands-On Web Scraping with Python
- 數據存儲技術與實踐
- 可視化分析與SAS實現