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Kiske 2009/12/22
performance

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How We Made GitHub Fast
AI & MLLearn about artificial intelligence and machine learning across the GitHub ecosystem and the wider industry. Generative AILearn how to build with generative AI. GitHub CopilotChange how you work with GitHub Copilot. LLMsEverything developers need to know about LLMs. Machine learningMachine learning tips, tricks, and best practices. How AI code generation worksExplore the capabilities and be
Kiske 2009/10/23
performance

rails
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Kiske 2009/04/28
yahoo

performance
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Kiske 2009/04/13
css

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Kiske 2008/11/27
performance
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Kiske 2008/11/27
performance
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7 Stages of Scaling Web Applications
The document discusses the typical 7 stages of scaling a web application as it grows in popularity and usage. Stage 1 involves a simple initial architecture. Stage 2 adds more redundant components to improve performance and availability as usage grows. Stages 3-5 involve significant pain as the application is pushed to its limits, requiring re-architecting and partitioning of databases and service
Kiske 2008/11/10
performance

server
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Full Stack Web Application Performance Tuning
Presentation from the symfonyCamp 2008 on Tips for improving web application performance by covering the full stack, rather than concentrating on very specific issues. Copyright Fabian Lange 2008, all rights reservedRead less
Kiske 2008/09/26
symfony

performance
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Kiske 2008/09/25
performance
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Linux ãƒãƒ¥ãƒ¼ãƒ‹ãƒ³ã‚° - Ext3 ã®ãƒ‘ãƒ•ã‚©ãƒ¼ãƒžãƒ³ã‚¹ã‚’æœ€å¤§åŒ–ã•ã›ã‚‹
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Kiske 2008/09/24
linux

performance
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2008-09-23 23:35è¿½è¨˜ ãã†ã„ãˆã°ã“ã®ã‚¨ãƒ³ãƒˆãƒªã¯ãƒœãƒˆãƒ«ãƒãƒƒã‚¯ãŒãƒ“ãƒ¥ãƒ¼(ã‚ãƒ£ãƒƒã‚·ãƒ¥)ã®ç”Ÿæˆã§ã€ãã‚ŒãŒé…ã„ã›ã„ã§ãƒªã‚¯ã‚¨ã‚¹ãƒˆãŒè©°ã¾ã£ã¦ã—ã¾ã†ã€ã¨ã„ã†ã“ã¨ã‚’å‰æã«æ›¸ã„ã¦ã¾ã™ã€‚Railsã¯ã„ã¾ã®ã¨ã“ã‚ã‚·ãƒ³ã‚°ãƒ«ã‚¹ãƒ¬ãƒƒãƒ‰ã§ã—ã‹å‹•ä½œã—ãªã„ã®ã§ã€ãƒãƒ©ãƒ³ã‚µã®è£ã«APã‚µãƒ¼ãƒã‚’næœ¬ç«‹ã¦ã¦ã‚‚næœ¬ã®é•·å¯¿ãªãƒªã‚¯ã‚¨ã‚¹ãƒˆãŒããŸå ´åˆã€CPUã‚„ãƒ¡ãƒ¢ãƒªã«ä½™è£•ãŒã‚ã£ã¦ã‚‚ãƒ–ãƒãƒƒã‚¯ã•ã‚Œã¦ã—ã¾ã„ã¾ã™ã€‚ã“ã‚ŒãŒå•é¡Œãªã®ã‹ãªã€ã¨ã€‚ ä¸å³¶ã•ã‚“ã®æ–¹ã‚’èªã‚€ã¨DBã®CRUD(ã¨ãã«CUD)ãŒãƒœãƒˆãƒ«ãƒãƒƒã‚¯ã«ãªã£ã¦ã‚‹ã‚ˆã†ã«è¦‹ãˆã‚‹ã®ã§ã™ãŒã€ãã£ã¡ã ã£ãŸã‚‰ã™ã¿ã¾ã›ã‚“ã€‚è¦‹å½“é•ã„ã§ã™ã€‚ è¿½è¨˜ã“ã“ã¾ã§ã€‚ masuidriveã•ã‚“ã®Webã§ã®éžåŒæœŸå‡¦ç†ã‚’è€ƒãˆã¦ã¿ã‚‹ã®ä»¶ã§ã€ã‚³ãƒ¡ãƒ³ãƒˆã«ã—ã‚ˆã†ã¨æ€ã£ãŸã‚“ã§ã™ãŒã€é•·ããªã£ãŸã®ã§è‡ªåˆ†ã®æ—¥è¨˜ã«ã€‚ ã¡ã‚‡ã£ã¨çŠ¶æ³ãŒã‚ã‹ã‚‰ãªã„ã®ã§å¤–ã—ã¦ã„ã‚‹ã‹ã‚‚ã—ã‚Œã¾ã›ã‚“ãŒ(ã¨ã‚»ãƒ«ãƒ•ã‚¨ã‚¯ã‚¹ã‚ãƒ¥ãƒ¼ã‚º)ã€DBã®æ›´æ–°ã¨ã‚ãƒ£ãƒƒã‚·ãƒ¥ã®ç”Ÿæˆã‚’ã‚¢ãƒˆãƒŸãƒƒ
Kiske 2008/09/24
performance

rails
ãƒªãƒ³ã‚¯
ãƒžãƒ«ãƒã‚¹ãƒ¬ãƒƒãƒ‰ãƒ»ãƒ—ãƒã‚°ãƒ©ãƒŸãƒ³ã‚°ã®è½ã¨ã—ç©´ã€ãã®ï¼’
ãšã„ã¶ã‚“å‰ã«ã€ã€Œãƒžãƒ«ãƒã‚¹ãƒ¬ãƒƒãƒ‰ãƒ»ãƒ—ãƒã‚°ãƒ©ãƒŸãƒ³ã‚°ã®è½ã¨ã—ç©´ã€ãã®ï¼‘ï¼ˆã‹ã‚‚ã—ã‚Œãªã„ï¼‰ã€ã¨ã„ã†ã‚¨ãƒ³ãƒˆãƒªãƒ¼ã‚’æ›¸ã„ãŸãŒã€ä»Šå›žã¯PhotoShareã‚µãƒ¼ãƒãƒ¼ã‚’é‹å–¶ã—ã¦ã„ã¦ã€ã¾ã•ã«ã“ã®ã‚ãŸã‚Šã®æ·±ã„è€ƒå¯ŸãŒå¿…è¦ã«ãªã£ã¦æ¥ãŸã®ã§ã€è‰¯ã„æ©Ÿä¼šãªã®ã§ç¶šç·¨ã‚¨ãƒ³ãƒˆãƒªãƒ¼ã€‚ PhotoShareã®ãƒãƒƒã‚¯ã‚¨ãƒ³ãƒ‰ã®ã‚ˆã†ã«CRUDï¼ˆCreate/Read/Update/Deleteï¼‰ã®APIã‚’ã‚µãƒãƒ¼ãƒˆã™ã‚‹ãƒãƒƒã‚¯ã‚¨ãƒ³ãƒ‰ã‚’ä½œã‚‹å ´åˆã€Create/Update/Deleteã®ãƒªã‚¯ã‚¨ã‚¹ãƒˆã«å¯¾ã—ã¦ã¯ã‚¯ãƒ©ã‚¤ã‚¢ãƒ³ãƒˆã‹ã‚‰ã®APIã‚³ãƒ¼ãƒ«æ™‚ã«ã™ãã«ï¼ˆHTTP Requestã«è¿”äº‹ã‚’ã™ã‚‹å‰ã«ï¼‰ãƒ‡ãƒ¼ã‚¿ãƒ™ãƒ¼ã‚¹ã«å¤‰æ›´ã‚’åŠ ãˆã€Readã®éš›ã«ã‚‚ï¼ˆã‚ãƒ£ãƒƒã‚·ãƒ¥ã‚’ä½¿ã†ãƒ»ä½¿ã‚ãªã„ã‚’åˆ¥ã«ã—ã¦ï¼‰ãƒ‡ãƒ¼ã‚¿ãƒ™ãƒ¼ã‚¹ã®æœ€æ–°ã®çŠ¶æ³ã‚’åæ˜ ã™ã‚‹ãƒ‡ãƒ¼ã‚¿ã‚’è¿”ã™ã‚ˆã†ã«è¨è¨ˆã™ã‚‹ã®ãŒæ™®é€šã§ã‚ã‚‹ã€‚ ã“ã®ã‚¢ãƒ¼ã‚ãƒ†ã‚¯ãƒãƒ£ã®å•é¡Œã¯ã€ãƒ¦ãƒ¼ã‚¶ãƒ¼ã®ã‚¢ã‚¯ãƒ†ã‚£ãƒ“ãƒ†ã‚£ãŒå¢—ãˆãŸæ™‚ã«ã€ãƒ‡ãƒ¼ã‚¿ãƒ™ãƒ¼ã‚¹ã‚„I/OãŒãƒœãƒˆãƒ«ãƒãƒƒã‚¯ã¨
Kiske 2008/09/24
performance
ãƒªãƒ³ã‚¯
ã‚ã‚‹ãƒ—ãƒã‚»ã‚¹ãŒåˆ©ç”¨ã—ã¦ã„ã‚‹ãƒ¡ãƒ¢ãƒªã‚µã‚¤ã‚ºã‚’ procfs çµŒç”±ã§èª¿ã¹ã‚‹ - naoyaã®ã¯ã¦ãªãƒ€ã‚¤ã‚¢ãƒªãƒ¼
ãŠé¡Œã¯ã€Œã‚ã‚‹ãƒ—ãƒã‚»ã‚¹ãŒã©ã®ç¨‹åº¦ã®ç‰©ç†ãƒ¡ãƒ¢ãƒªã‚’åˆ©ç”¨ã—ãŸã‹ã‚’çŸ¥ã‚ŠãŸã„ã€ã§ã™ã€‚ æ‰‹ã£ã¨ã‚Šã°ã‚„ãçŸ¥ã‚ŠãŸã„ã¨ãã¯ top ã‚„ ps ãªã©ã§èª¿ã¹ã‚‹ã¨è‰¯ã„ã§ã—ã‚‡ã†ã‹ã€‚ä¾‹ãˆã°æ‰‹å…ƒã® coLinux ã§ top ã—ã¦ M ã‚ãƒ¼ã§ã‚½ãƒ¼ãƒˆã™ã‚‹ã¨ emacs ã®ãƒ—ãƒã‚»ã‚¹ãŒæœ€ã‚‚ãƒ¡ãƒ¢ãƒªã‚’ä½¿ã£ã¦ã„ã‚‹ã‚ˆã†ã§ã™ã€‚ PID USER PR NI VIRT RES SHR S %CPU %MEM TIME+ COMMAND 1923 naoya 18 0 23120 19m 3096 S 0.0 2.0 0:55.40 emacsãƒ¡ãƒ¢ãƒªã‚µã‚¤ã‚ºã¯ VIRT ã¨ RES ãŒã‚ã‚Šã¾ã™ãŒã€VIRT ã¯ Virtual ã®ç•¥ã§ä»®æƒ³ãƒ¡ãƒ¢ãƒªé ˜åŸŸã®ã‚µã‚¤ã‚ºã€RES ãŒ Resident ã®ç•¥ã§ã€å®Ÿéš›ã«ä½¿ç”¨ã—ã¦ã„ã‚‹ç‰©ç†ãƒ¡ãƒ¢ãƒªé ˜åŸŸã®ã‚µã‚¤ã‚ºã€‚19MB ã»ã©ä½¿ã£ã¦ã„ã‚‹ã‚ˆã†ã§ã™ã€‚ã“ã® emacs ã®ãƒ—ãƒã‚»ã‚¹ãŒåˆ©ç”¨ã™ã‚‹ãƒ¡ãƒ¢ãƒªé ˜åŸŸã¯ã–ã£ãã‚Š 20MB ç¨‹åº¦ã¨
Kiske 2008/07/28
linux

performance
ãƒªãƒ³ã‚¯
Ajaxian ï¿½ Yahoo! releases new performance best practices
Enterprise Strategy Group: Go-to-market Expertise to Help You Win
Kiske 2008/03/24
web

performance
ãƒªãƒ³ã‚¯
MySQLã®ã‚¯ã‚¨ãƒªã‚’æœ€é©åŒ–ã™ã‚‹10ã®Tips - PHPãƒ—ãƒï¼ãƒ‹ãƒ¥ãƒ¼ã‚¹
å¹³ç´ ã‚ˆã‚Šã€ŒPHPãƒ—ãƒï¼ã€ã‚’ã”æ„›é¡§ã„ãŸã ãã€èª ã«ã‚ã‚ŠãŒã¨ã†ã”ã–ã„ã¾ã™ã€‚ 2006å¹´ã‚ˆã‚Šé‹å–¶ã—ã¦ã¾ã„ã‚Šã¾ã—ãŸã€ŒPHPãƒ—ãƒï¼ã€ã§ã™ãŒã€ã‚µãƒ¼ãƒ“ã‚¹ã®åˆ©ç”¨çŠ¶æ³ã‚’é‘‘ã¿ã¾ã—ã¦ã€2018å¹´9æœˆ25æ—¥ï¼ˆç«æ›œæ—¥ï¼‰ã‚’ã‚‚ã¡ã¾ã—ã¦ã‚µãƒ¼ãƒ“ã‚¹ã‚’çµ‚äº†ã•ã›ã¦ã„ãŸã ãã“ã¨ã«ãªã‚Šã¾ã—ãŸã€‚ ã‚µãƒ¼ãƒ“ã‚¹çµ‚äº†ã«ä¼´ã„ã¾ã—ã¦ã€2018å¹´8æœˆ28æ—¥ï¼ˆç«æ›œæ—¥ï¼‰ã‚’æŒã¡ã¾ã—ã¦ã€æ–°è¦ä¼šå“¡ç™»éŒ²ãªã‚‰ã³ã«Q&AæŽ²ç¤ºæ¿ã¸ã®æ–°ãŸãªè³ªå•ã€å›žç”ã®æŠ•ç¨¿ã‚’åœæ¢ã•ã›ã¦ã„ãŸã ãã¾ã™ã€‚ ãªãŠã€ã”ç™»éŒ²ã„ãŸã ã„ãŸçš†æ§˜ã®å€‹äººæƒ…å ±ã«ã¤ãã¾ã—ã¦ã¯ã€ã‚µãƒ¼ãƒ“ã‚¹çµ‚äº†å¾Œã€å¼Šç¤¾ãŒè²¬ä»»ã‚’ã‚‚ã£ã¦æ¶ˆåŽ»ã„ãŸã—ã¾ã™ã€‚ ã“ã‚Œã¾ã§å¤šãã®çš†æ§˜ã«ã”åˆ©ç”¨ã‚’ã„ãŸã ãã¾ã—ã¦ã€èª ã«ã‚ã‚ŠãŒã¨ã†ã”ã–ã„ã¾ã—ãŸã€‚ ã‚µãƒ¼ãƒ“ã‚¹çµ‚äº†ã«ä¼´ã„ã€çš†æ§˜ã«ã¯ã”ä¸ä¾¿ã‚’ãŠã‹ã‘ã„ãŸã—ã¾ã™ã“ã¨ã€å¿ƒã‚ˆã‚ŠãŠè©«ã³ç”³ã—ä¸Šã’ã¾ã™ã€‚ æœ¬ä»¶ã«é–¢ã™ã‚‹ãŠå•ã„åˆã‚ã›ã¯ã“ã¡ã‚‰ã‚ˆã‚ŠãŠé¡˜ã„ã„ãŸã—ã¾ã™ã€‚
Kiske 2007/04/11
database

mysql

performance

tips

programming

php

sql
ãƒªãƒ³ã‚¯
InnoDB vs MyISAM vs Falcon benchmarks - part 1
All of Perconaâ€™s open-source software products, in one place, to download as much or as little as you need.
Kiske 2007/01/15
mysql

performance
ãƒªãƒ³ã‚¯
Top 84 MySQL Performance Tips | Debian Admin
MySQL is a widely used and fast SQL database server. It is a client/server implementation that consists of a server daemon (mysqld) and many different client programs/libraries. You can check the same tips from here.Here is very useful tips for all mysql DBAâ€™s,Developers these tips are noted from MySQL Camp 2006 suggested by mysql community experts. Kaj (Most Excellent Obvious Facilitator) Index s
Kiske 2006/11/29
mysql

performance

tips

tuning

database
ãƒªãƒ³ã‚¯
MySQL
HeatWave Use automated and integrated generative AI and machine learning (ML) in one cloud service for transactions and lakehouse scale analytics. Get faster insights from all your data with unmatched performance and deploy apps in your choice of cloud providers. Learn More Â» MySQL Enterprise Edition The most comprehensive set of advanced features, management tools and technical support to achieve
Kiske 2006/11/22
mysql

performance
ãƒªãƒ³ã‚¯
1