Optimize long tasks  | Articles  | web.dev
Optimize long tasks Stay organized with collections Save and categorize content based on your preferences. You've been told "don't block the main thread" and "break up your long tasks", but what does it mean to do those things? Common advice for keeping JavaScript apps fast tends to boil down to the following advice: "Don't block the main thread." "Break up your long tasks." This is great advice,
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Postgres PlaygroundEnhance your Postgres skillsOften times the gap in trying/learning something in Postgres is having a good tangible example. The playground makes that easier by loading a datasets then guiding you step by step through an exercise leveraging that dataset in a practical way. Whether it's just the basics of interacting in the Postgres CLI with psql , improving your querying skills w
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人・カãƒãƒ»ã‚‚ã®ã®è¶³ã‚Šãªã„スタートアップã«ãŠã„ã¦ã€ã©ã®ã‚ˆã†ã«å·¥å¤«ã—ã¦ã„ã‚‹ã‹ç™ºä¿¡ã™ã‚‹ã€Œã‚¹ã‚¿ãƒ¼ãƒˆã‚¢ãƒƒãƒ—事例ç¥ã‚Š ～監視・モニタリング・セã‚ュリティ編～ã€ã€‚ã“ã“ã§ã¯ã¾ãƒ¼ã‚“æ°ãŒã€Œã‚¹ã‚¿ãƒ¼ãƒˆã‚¢ãƒƒãƒ—ã®äººãŸã¡ã«æ§ã監視å†å…¥é–€ in AWSã€ã‚’テーマã«ç™»å£‡ã€‚ã“ã“ã‹ã‚‰ã¯AWSã§ç›£è¦–ã‚’è¡Œã†æ™‚ã®Tipsを紹介ã—ã¾ã™ã€‚å‰å›žã¯ã“ã¡ã‚‰ã‹ã‚‰ã€‚ AWSã§è¡Œã†ç›£è¦–ã®ãƒ•ã‚¡ãƒ¼ã‚¹ãƒˆã‚¹ãƒ†ãƒƒãƒ—「CloudWatch〠ã¯ã¾ãƒ¼ã‚“æ°ï¼ˆä»¥ä¸‹ã€ã¯ã¾ãƒ¼ã‚“）：ã“ã“ã¾ã§ç›£è¦–ã«ã¤ã„ã¦ã®åŸºæœ¬ã‚„ã€ä¸–ã®ä¸ã®ç›£è¦–ã«ãŠã‘ã‚‹ã‚ã‚ŠãŒã¡ãªã‚¢ãƒ³ãƒãƒ‘ターンを紹介ã—ã¦ãã¾ã—ãŸã€‚ã•ã¦ã€ã‚¢ãƒ³ãƒãƒ‘ターンã¯ç†è§£ã—ãŸã†ãˆã§ã€ã¨ã¯ã„ãˆæ™‚間も人も貴é‡ãªã‚¹ã‚¿ãƒ¼ãƒˆã‚¢ãƒƒãƒ—ã§ã€ãƒ“ジãƒã‚¹ä¾¡å€¤ãã®ã‚‚ã®ã‚’生むã‚ã‘ã§ã¯ãªã„監視ã¯ã€ã‚„ã£ã±ã‚Šå¾Œå›žã—ã«ãªã‚ŠãŒã¡ã˜ã‚ƒãªã„ã‹ãªã¨æ€ã„ã¾ã™ã€‚ガッツリ監視ã™ã‚‹ã¾ã§ã«ã‹ã‘る時間も惜ã—ã„ã—ã€ã©ã†ã™ã‚Œã°ã„ã„ã®ã‹ã¨ã€‚ ã“ã®æ¬¡ã¯ã€ã€Œç§ãŒè€ƒãˆã‚‹ã€ã¨ã„ã†å‰æã¯ä»˜ãã¾ã™ãŒã€AWS上ã§å°
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ã“ã‚“ã«ã¡ã¯ã€19ã®SysAdçã®ç¿ (sappi_red)ã§ã™ã€‚普段ã¯traQã®ãƒ•ãƒãƒ³ãƒˆã‚¨ãƒ³ãƒ‰ã®ä¿å®ˆã‚’è¡Œã£ãŸã‚Šã—ã¦ã„ã¾ã™ã€‚ ã“ã‚“ã°ã‚“ã¯ã€19ã®SysAdçã®temmaã§ã™ã€‚普段ã¯æ™®æ®µã©ãŠã‚Šã®ã“ã¨ã‚’ã—ã¦ã„ã¾ã™ã€‚ã“ã®è¨˜äº‹ã®é¢ç™½ã„部分ã¯ã™ã¹ã¦åƒ•ãŒæ›¸ã„ã¦ã„ã¾ã™ã€‚é¢ç™½ããªã„ã¨ã“ã‚ã¯ç¿ å›ãŒæ›¸ã„ã¦ã„ã¾ã™ã€‚ ã“ã®è¨˜äº‹ã§ã¯ã€æ—¥ã€…パフォーマンスã«é ã‚’æ‚©ã¾ã›ã‚‹é–‹ç™ºè€…ã®æ–¹ã®ãŸã‚ã«ã€ãƒ¯ãƒ³ã‚¿ãƒƒãƒã§åŠ‡é…SQLã‚’200å€é«˜é€Ÿã§ã‚ュートãªSQLã«åŠ‡çš„ビフォーアフターã™ã‚‹æ–¹æ³•ã‚’紹介ã—ã¾ã™ã€‚ 「ãŠã„ãŠã„ãŠã„ã€é…ãã—ãŸãã¦è¨˜äº‹ã‚’èªã¿å§‹ã‚ãŸã®ã«è©±ãŒé•ã†ã˜ã‚ƒãªã„ã‹ðŸ’¢ã€ã¨æ€ã£ã¦ã‚‹ãã“ã®ã‚ãªãŸðŸ‘ˆ æ—©ãã§ãã‚‹ã¨ã„ã†ã“ã¨ã¯é…ãã‚‚ã§ãã‚‹ã‚“ã§ã™ã。 TL;DR ã“ã“ã«ãƒ†ãƒ¼ãƒ–ルãŒã‚ã‚Šã¾ã™ã€‚ CREATE TABLE messages ( id CHAR(36) NOT NULL　PRIMARY KEY, text TEXT COLLATE ut
New AlloyDB for PostgreSQL frees you from legacy databases | Google Cloud Blog
Introducing AlloyDB for PostgreSQL: Free yourself from expensive, legacy databases Enterprises are struggling to free themselves from legacy database systems, and need an alternative option to modernize their applications. Today at Google I/O, we’re thrilled to announce the preview of AlloyDB for PostgreSQL, a fully-managed, PostgreSQL-compatible database service that provides a powerful option fo
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Raspberry Pi ã®64-bitã¨32-bitã§ã€ãƒ‘フォーマンスã¯ã©ã®ã‚ˆã†ã«å¤‰ã‚ã‚‹ã®ã‹ï¼Ÿ (メモ置ãå ´)RaspberryPi 64-bit 版 Raspberry Pi OS ãŒæ£å¼ãƒªãƒªãƒ¼ã‚¹ã¨ãªã‚Šã¾ã—ãŸã€‚アーã‚テクãƒãƒ£ãƒ¼ã®é•ã„ã§ã©ã®ãらã„å·®ãŒå‡ºã‚‹ã®ã‹ã‚’確èªã—ãŸå†…容ã§ã™ã€‚ 検証環境 共通 Raspberry Pi 4 Model B 4GB microSD: SDSQUAR-032G-GN6MN (32GB/A1) ベンãƒãƒžãƒ¼ã‚¯ãƒ—ãƒã‚°ãƒ©ãƒ : 姫野ベンãƒãƒžãƒ¼ã‚¯ ã“ã®æ¡ä»¶ä¸‹ã§ã€Raspberry Pi OS 32-bit / 64-bit ãã‚Œãžã‚Œã§å§«é‡Žãƒ™ãƒ³ãƒãƒžãƒ¼ã‚¯ã‚’コンパイル＆実行ã—ãŸçµæžœã‚’比較ã—ã¦ã„ã¾ã™ã€‚ 姫野ベンãƒãƒžãƒ¼ã‚¯ã¯ã€CPUã ã‘ã§ãªãメモリ帯域ã«ã‚‚è² è·ãŒã‹ã‹ã‚‹(よã†ãª)ベンãƒãƒžãƒ¼ã‚¯ãƒ†ã‚¹ãƒˆãƒ—ãƒã‚°ãƒ©ãƒ ã¨ã—ã¦é¸æŠžã—ã¾ã—ãŸã€‚ çµè«– 64-bit ãƒã‚¤ãƒŠãƒªãƒ¼ã¯ã€32-bit ãƒã‚¤ãƒŠãƒª
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This is part of my "Concurrency in Modern Programming Languages" series Concurrency in modern programming languages: IntroductionConcurrency in modern programming languages: RustConcurrency in modern programming languages: GolangConcurrency in modern programming languages: JavaScript on NodeJSConcurrency in modern programming languages: TypeScript on DenoConcurrency in modern programming languages
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Kernel Queue: The Complete Guide On The Most Essential Technology For High-Performance I/O When talking about high-performance software we probably think of server software (such as nginx) which processes millions requests from thousands clients in parallel. Surely, what makes server software work so fast is high-end CPU running with huge amount of memory and a very fast network link. But even the
Linuxカーãƒãƒ«ã®"ä¾å˜é–¢ä¿‚地ç„"解消目指ã™ã€ŒFast Kernel Headersã€
Steven J. Vaughan-Nichols （Special to ZDNET.comï¼‰Â ç¿»è¨³æ ¡æ£ï¼šÂ æ‘ä¸Šé›…ç« Â é‡Žå´Žè£•å 2022-01-12 08:30 æ•°åå¹´ã«ã‚ãŸã£ã¦ä¿®æ£ãŒåŠ ãˆã‚‰ã‚Œã€ä¹±é›‘ã•ã¨ã„ã†åž¢ãŒè“„ç©ã•ã‚ŒãŸã‚³ãƒ¼ãƒ‰ã‚’ãã‚Œã„ã«ã™ã‚‹ã¨ã„ã†ã®ã¯æ°—ã®å¼±ã„人ãŒã‚„る作æ¥ã§ã¯ãªã„。ã—ã‹ã—ã€Linuxã®ã‚«ãƒ¼ãƒãƒ«é–‹ç™ºã«ãŠã‘る第一人者ã§ã‚ã‚‹Ingo Molnaræ°ã¯è‡ªã‚‰ã®æŒã¦ã‚‹åŠ›ã‚’最大é™ã«å‚¾ã‘ã€ã‚ªãƒ¼ãƒ—ンソースã®Linuxカーãƒãƒ«ã«ç§©åºã‚’å–り戻ãã†ã¨ã—ã¦ã„る。 Linuxã®ã‚½ãƒ¼ã‚¹ã‚³ãƒ¼ãƒ‰ã¯2020å¹´ã«2780万行ã«é”ã—ãŸã€‚ãれ以é™ã‚‚ãã®è¦æ¨¡ã¯å¢—大ã™ã‚‹ä¸€æ–¹ã 。Linuxã¯ã€30å¹´ãŒçµŒéŽã—ã¦ã„ã‚‹ä»–ã®ã‚½ãƒ•ãƒˆã‚¦ã‚§ã‚¢ãƒ—ãƒã‚¸ã‚§ã‚¯ãƒˆã¨åŒæ§˜ã«ã€ãã®é•·ã„æ´å²ã®ä¸ã§ã‚½ãƒ¼ã‚¹ã‚³ãƒ¼ãƒ‰ä¸ã«ã‹ãªã‚Šã®é‡ã®åž¢ã‚’ãŸã‚込んã§ã„る。Linuxカーãƒãƒ«ã®ä¸Šç´šé–‹ç™ºè€…ã§ã‚ã‚‹Molnaræ°ã¯ã“ã®å•é¡Œã‚’æ ¹æœ¬çš„ãªãƒ¬ãƒ™ãƒ«ã§è§£æ±ºã™ã‚‹ãŸã‚ã®åˆæ’ƒã¨ãªã‚‹æ•°ã‚«æœˆ
Rust ã®ãƒ‘フォーマンスã«ä½•ãŒå½±éŸ¿ã‚’与ãˆã¦ã„ã‚‹ã®ã‹ - Qiita
å‹•æ©Ÿ The Rust Performance Book ã¨ã„ã†æ›¸ãã‚‚ã®ã‚’見ã¤ã‘ã¾ã—ãŸã€‚ã„ã‚ã„ã‚ãªãƒ‘フォーマンス改善テクニックãŒæ›¸ã‹ã‚Œã¦ã„ã‚‹ã‚ã‘ã§ã™ãŒã€å®Ÿéš›ã«æ™®æ®µæ›¸ã„ã¦ã‚‹ Rust コードã®ä¸ã§ä¸€ä½“何ãŒãƒ‘フォーマンスã«ä¸Žãˆã‚‹å½±éŸ¿ãŒå¤§ãã„ã®ã‹ï¼Ÿã¨ã„ã†ç‚¹ãŒæ°—ã«ãªã£ã¦ãƒ™ãƒ³ãƒãƒžãƒ¼ã‚¯ã‚’å–ã£ã¦ã¿ã¾ã—ãŸã€‚ 今回パフォーマンスを計測ã™ã‚‹ãƒ—ãƒã‚°ãƒ©ãƒ ã¯ãƒ“ットマップ画åƒï¼ˆ1600px x 1200px）をグレースケールã«å¤‰æ›ã™ã‚‹å‡¦ç†ã§ã™ã€‚I/O ã®ãƒ‘フォーマンスã¯ç„¡è¦–ã—ã¾ã™ã€‚&[u8]ã‹ã‚‰ RGB ã‚’ãã‚Œãžã‚Œ 1byte ãšã¤ï¼ˆåˆè¨ˆ 3bytes）å–ã£ã¦ãã¦ã€ãれをグレースケール㮠1byte ã«å¤‰æ›ã—ã¦Vec<u8>ã«ã™ã‚‹æ™‚間を計測ã—ã¾ã™ã€‚イメージã¨ã—ã¦ã¯ä¸‹è¨˜ã®ã‚ˆã†ãªé–¢æ•°ã§ã™ã€‚ // source ㌠カラーã®ãƒ“ットマップ画åƒã®ãƒ‡ãƒ¼ã‚¿ fn sample(source: &[u8]) -> Result<Ve
Announcing Parcel CSS: A new CSS parser, compiler, and minifier written in Rust!
I'm very excited to announce @parcel/css, a new CSS parser, compiler, and minifier written in Rust! Check it out on GitHub, or try a live demo right in your browser. Parcel CSS has significantly better performance than existing tools, while also improving minification quality. In addition to minification, Parcel CSS handles compiling CSS modules, tree shaking, automatically adding and removing ven
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GitHub - facebook/lexical: Lexical is an extensible text editor framework that provides excellent reliability, accessibility and performance.
GitHub - HigherOrderCO/HVM: A massively parallel, optimal functional runtime in Rust
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