Webアプリケーションã®ã‚ャッシュ戦略ã¨ãã®ãƒ‘ターン / Pattern and Strategy of Web Application CachingYAPC::Kansai OSAKA 2017ã®è³‡æ–™ã§ã™
How V8 measures real-world performance · V8
Show navigation Over the last year the V8 team has developed a new methodology to measure and understand real-world JavaScript performance. We’ve used the insights that we gleaned from it to change how the V8 team makes JavaScript faster. Our new real-world focus represents a significant shift from our traditional performance focus. We’re confident that as we continue to apply this methodology in
Demystifying Frontend Framework Performance
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2016 - 08 - 12 Dockerホストã®ãƒ‘フォーマンスを引ã出ã™TCPカーãƒãƒ«ãƒ‘ラメータãƒãƒ¥ãƒ¼ãƒ‹ãƒ³ã‚° Docker Linux ã‚‚ã†åŠå¹´ãらã„フルDockerã§microservicesãªã‚µãƒ¼ãƒ“スをé‹ç”¨ã—ã¦ã‚‹ã‚“ã§ã™ãŒã€ã‚¤ãƒžã‚¤ãƒãƒ‘フォーマンスを出ã—切れã¦ã„ãªã„ãªã¨ã„ã†é¢ãŒã‚ã‚Šã¾ã—ã¦ã€ä»Šå›žDockerホスト㮠TCP カーãƒãƒ« パラメータを抜本的ã«è¦‹ç›´ã—ã¾ã—ãŸã€‚ ãã—ãŸã‚‰åŠ‡çš„ã«ç—‡çŠ¶ãŒæ”¹å–„ã—ã¦ã€ インスタンス 数も削減ã§ããŸä¸Šã«å®‰å®šã—㦠メシウマ状態 ã«ãªã£ãŸã®ã§ç´¹ä»‹ã—ã¾ã™ã€‚実際効果ãŒã‚ã£ãŸã®ã§ãƒãƒ¥ãƒ¼ãƒ‹ãƒ³ã‚°ãƒã‚¤ãƒ³ãƒˆã¨ã—ã¦ã¯ã‚る程度æ£è§£ã§ã‚ã£ãŸã¨è€ƒãˆã¦ã„ã¾ã™ãŒã€ã‚‚ã¡ã‚ん扱ã£ã¦ã‚‹ã‚¢ãƒ—リケーションã®ç‰¹æ€§ã«ã‚‚よるã¯ãšãªã®ã§ä¸€ã¤ã® ケーススタディ ã§ã‚ã‚‹ã“ã¨ã‚’ã”äº†æ‰¿é ‚ã‘ã‚Œã°ã¨ã€‚ å‰æ ã¾ãšã¯ä»Šå›žã®ãŠè©±ã®å‰æを。ã“ã‚“ãªç’°å¢ƒã§ã™ã€‚ EC2 c3.xlarge ホスト㯠Ubuntu （EC2 Opt
Linux Performance Analysis in 60,000 Milliseconds
You log in to a Linux server with a performance issue: what do you check in the first minute? At Netflix we have a massive EC2 Linux cloud, and numerous performance analysis tools to monitor and investigate its performance. These include Atlas for cloud-wide monitoring, and Vector for on-demand instance analysis. While those tools help us solve most issues, we sometimes need to login to an instanc
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Medium
You can find (just about) anything on Medium — apparently even a page that doesn’t exist. Maybe these stories will take you somewhere new?
HTTP2 ã‚’å‰æã¨ã—㟠HTML+CSS コンãƒãƒ¼ãƒãƒ³ãƒˆã®ãƒ¬ãƒ³ãƒ€ãƒªãƒ³ã‚°ãƒ‘ス最é©åŒ–ã«ã¤ã„㦠| blog.jxck.io
Intro Chrome ãŒäºˆå®šã—ã¦ã„ã‚‹ <link rel=stylesheet> ã®æŒ™å‹•ã®å¤‰æ›´ã«ã¤ã„ã¦ã€ Google Chrome ãƒãƒ¼ãƒ ã® Jake ãŒã€èˆˆå‘³æ·±ã„ブãƒã‚°ã‚’上ã’ã¦ã„る。 The future of loading CSS ã“ã®å†…容ã¯ã€å˜ã« Chrome ã«å¯¾ã™ã‚‹å¤‰æ›´ã ã‘ã§ã¯ãªã〠HTTP2 ã«ã‚ˆã£ã¦å¤‰åŒ–ã™ã‚‹æœ€é©åŒ–手法ã¨ã€ãれを最も活ã‹ã™ãŸã‚ã® HTML, CSS ã®æ§‹æˆã«ã¤ã„ã¦ã®ãƒ’ントãŒã‚る。 今回ã¯ã€ã“ã®å†…容をæ„訳+補足解説ã—ã€æœ¬ã‚µã‚¤ãƒˆã«é©ç”¨ã—ã¦ã„ã。 HTTP/1.1 時代㮠CSS HTML 自体ãŒã‚³ãƒ³ãƒãƒ¼ãƒãƒ³ãƒˆã‚’æ„è˜ã—ãŸä½œã‚Šã«ãªã£ã¦ã„ã‚‹å ´åˆã¯ã€è‡ªç„¶ã¨ CSS ã‚‚ class ãªã©ã‚’使ã„コンãƒãƒ¼ãƒãƒ³ãƒˆå˜ä½ã«ä½œã‚‹ã“ã¨ãŒã§ãã‚‹ã ã‚ã†ã€‚ ã—ã‹ã—〠HTTP/1.1 ã§ã¯ã€ãƒªã‚¯ã‚¨ã‚¹ãƒˆã®æ•°ã‚’減らã™ãŸã‚ã«å…¨ã¦ã® CSS ã‚’ 1 ã¤(ã‚‚ã—ãã¯å°‘数個)ã«çµåˆã™ã‚‹æœ€é©åŒ–ãŒä¸»æµã
OTN Japan マニュアル
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イベントループãªã—ã§ã®ãƒã‚¤ãƒ‘フォーマンス – C10Kå•é¡Œã¸ã®Goã®å›žç” | POSTD
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YAPC: Go Debugging, Profiling, and Optimization
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Web performance: Cache efficiency exercise
Speed is a consideration for any website, whether it's for the local barbershop or Wikipedia, with its huge repository of knowledge. It's a feature that shouldn't be ignored. This is why caching is important — a great way to make websites faster is to save parts of them so they don't have to be calculated or downloaded again on the next visit. My team was recently having a discussion about the par
Etsukata blog: FreakOut DSP å…¥æœã‚µãƒ¼ãƒã® CPU 使用率を 30% 削減ã™ã‚‹ Performance Tuning
ã¯ã˜ã‚㫠勤務先㮠FreakOut 社ã§ã¯ RTB ã§åºƒå‘Šæž ã‚’è²·ã„付ã‘ã‚‹ DSP ã®é–‹ç™ºãƒ»é‹ç”¨ã‚’è¡Œã£ã¦ã„ã¾ã™ã€‚RTB ã¨ã¯ã€ã‚¤ãƒ³ã‚¿ãƒ¼ãƒãƒƒãƒˆåºƒå‘Šã®ã‚¤ãƒ³ãƒ—レッションãŒç”Ÿã˜ã‚‹æ¯Žã«ã€åºƒå‘Šæž ã®ç«¶äº‰å…¥æœã‚’è¡Œã†ä»•çµ„ã¿ã§ã™ã€‚ DSP ã¨ã¯ã€ RTB ã«ãŠã„ã¦ã€ç«¶äº‰å…¥æœã‚’ã™ã‚‹å´ã®ã‚·ã‚¹ãƒ†ãƒ ã«ãªã‚Šã¾ã™ã€‚åºƒå‘Šæž /広告を見ã¦ã„る人 ã«å¯¾ã—ã€æœ€é©ãªåºƒå‘Šã‚’ã€æœ€é©ãªã‚¿ã‚¤ãƒŸãƒ³ã‚°ã§å±Šã‘る機能を広告主ã«æä¾›ã™ã‚‹ä»•çµ„ã¿ã§ã™ã€‚ FreakOut DSP ã¯æœ€é©ãªåºƒå‘ŠæŽ¢ç´¢ãƒ»å…¥æœä¾¡æ ¼èª¿æ•´ã®ãŸã‚ã€éžå¸¸ã«å¤šãã®ãƒ‡ãƒ¼ã‚¿ã‚’å‚ç…§ã—ã€æ²¢å±±ã®æ¼”算処ç†ã‚’è¡Œã„ã¾ã™ã€‚広告を見ã¦ã„る人ãŒéŽåŽ»ã«ã‚¢ã‚¯ã‚»ã‚¹ã—㟠Web ページã®æƒ…å ±ã‚„æ¤œç´¢ãƒ¯ãƒ¼ãƒ‰ã€ã•ã‚‰ã« 広告ãŒã‚¯ãƒªãƒƒã‚¯ã•ã‚Œã‚‹äºˆæ¸¬ç¢ºçŽ‡(éŽåŽ»ã®ãƒã‚°ã‹ã‚‰æ©Ÿæ¢°å¦ç¿’ã§ç®—出) ãªã©ã‚’å‚ç…§ã—ã€å…¥æœä¾¡æ ¼ã‚’決定ã™ã‚‹ã®ã§ã™ã€‚ãã®ãŸã‚ã€DSP ã§å…¥æœã‚’担当ã™ã‚‹ã‚µãƒ¼ãƒã¯ CPU ãŒãƒœãƒˆãƒ«ãƒãƒƒã‚¯ã«ãªã£ã¦ãŠã‚Šã€å°æ•°ã‚‚数百å°ã«åµ©ã‚“ã§ã„ã¾ã™ã€‚
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本記事ã®å…¬é–‹å¾Œã®2016å¹´7月ã«ã¯ã¦ãªã«ãŠã‘ã‚‹ãƒãƒ¥ãƒ¼ãƒ‹ãƒ³ã‚°äº‹ä¾‹ã‚’紹介ã—ãŸã€‚ ã¯ã¦ãªã«ãŠã‘ã‚‹Linuxãƒãƒƒãƒˆãƒ¯ãƒ¼ã‚¯ã‚¹ã‚¿ãƒƒã‚¯ãƒ‘フォーマンス改善 / Linux network performance improvement at hatena - Speaker Deck HAProxy ã‚„ nginx ãªã©ã®ã‚½ãƒ•ãƒˆã‚¦ã‚§ã‚¢ãƒãƒ¼ãƒ‰ãƒãƒ©ãƒ³ã‚µã‚„リãƒãƒ¼ã‚¹ãƒ—ãƒã‚ã‚·ã€memcached ãªã©ã® KVS ã®ã‚ˆã†ãªé«˜ãƒ‘ケットレートã«ãªã‚Šã‚„ã™ã„ãƒãƒƒãƒˆãƒ¯ãƒ¼ã‚¯ã‚¢ãƒ—リケーションã«ãŠã„ã¦ã€å˜ä¸€ã® CPU コアã«è² è·ãŒåã‚Šã€ãƒžãƒ«ãƒã‚³ã‚¢ã‚¹ã‚±ãƒ¼ãƒ«ã—ãªã„ã“ã¨ãŒã‚ã‚Šã¾ã™ã€‚ 今回ã¯ã€ã“ã®ã‚ˆã†ãªãƒãƒƒãƒˆãƒ¯ãƒ¼ã‚¯ã‚¢ãƒ—リケーションã«ãŠã„㦠CPU è² è·ãŒãƒžãƒ«ãƒã‚³ã‚¢ã‚¹ã‚±ãƒ¼ãƒ«ã—ãªã„ç†ç”±ã¨ã€ãƒžãƒ«ãƒã‚³ã‚¢ã‚¹ã‚±ãƒ¼ãƒ«ã•ã›ã‚‹ãŸã‚ã® Linux カーãƒãƒ«ã®ãƒãƒƒãƒˆãƒ¯ãƒ¼ã‚¯ã‚¹ã‚¿ãƒƒã‚¯ã®ãƒãƒ¥ãƒ¼ãƒ‹ãƒ³ã‚°æ‰‹æ³•ã¨ã—㦠RFS (Receive Flow Steering) ã‚’
perf + Flame Graphs 㧠Linux カーãƒãƒ«å†…ã®ãƒœãƒˆãƒ«ãƒãƒƒã‚¯ã‚’特定ã™ã‚‹ - ablog
Linuxã§ddã§1GBã®ãƒ•ã‚¡ã‚¤ãƒ«ã‚’作æˆã— perf ã§ãƒ—ãƒãƒ•ã‚¡ã‚¤ãƒªãƒ³ã‚°ã—ã€Flame Graph (ç‚Žã®ã‚°ãƒ©ãƒ•ï¼Ÿ)ã«ã—ã¦å¯è¦–化ã—ãŸã‚‚ã®ã§ã™ã€‚ Flame Graphs 㯠perf(Linux)ã€SystemTap(Linux)ã€DTrace(Solarisã€Oracle Linux(UEK)ã€Mac OS Xã€FreeBSD)ã€XPerf.exe(Windows) ãªã©ã§ã®ãƒ—ãƒãƒ•ã‚¡ã‚¤ãƒªãƒ³ã‚°çµæžœã‚’å¯è¦–化ã—ã¦æœ€ã‚‚使ã‚ã‚Œã¦ã„るコードパスを早ãæ£ç¢ºã«ç‰¹å®šã™ã‚‹ã“ã¨ãŒã§ãã¾ã™ã€‚実体ã¯ãƒ—ãƒãƒ•ã‚¡ã‚¤ãƒªãƒ³ã‚°çµæžœã‚’グラフ(SVG)ã«å¤‰æ›ã™ã‚‹ Perl スクリプトã§ã™ã€‚ 下ã‹ã‚‰ä¸Šã«è¡Œãã»ã©ã‚³ãƒ¼ãƒ«ã‚¹ã‚¿ãƒƒã‚¯ãŒæ·±ãã€å·¦ã‹ã‚‰é–¢æ•°åã®ã‚¢ãƒ«ãƒ•ã‚¡ãƒ™ãƒƒãƒˆé †ã§ã‚½ãƒ¼ãƒˆã•ã‚Œã¦ã„ã¾ã™ã€‚一番上ã§æ¨ªå¹…ãŒåºƒã„関数ãŒCPUã‚’é•·ã使ã£ã¦ã„ã¾ã™ã€‚今回㯠"_aesni_enc1" ã¤ã¾ã‚Šæš—å·åŒ–ãŒãƒœãƒˆãƒ«ãƒãƒƒã‚¯ã«ãªã£ã¦ã„ã‚‹ã“ã¨ãŒã‚ã‹ã‚Šã¾ã™ã€‚ システ
Aerotwist - React + Performance = ?
React is very popular at the moment, and I can see why: its developer ergonomics are very attractive. JSX and vDOM are really nice to work with, and it certainly enables composability. But, being the performance-minded person that I am, I wanted to test the claims that it's default-fast. Last updated: 3 Jul 2015 Est. Read Time: 15 min Share this: Twitter Tagged: #react, #performance Update 7/3/15:
2015 05 27 JSConf - concurrency and parallelism final
This document discusses concurrency and parallelism in JavaScript. It begins by distinguishing between concurrency and parallelism, and notes the evolution of web applications towards faster JavaScript. While JavaScript performance has improved, concurrency remains an issue for tasks like image/video processing, games, and communication without blocking the main thread. The document explores using
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