GitHub - livekit/livekit: End-to-end realtime stack for connecting humans and AIYou signed in with another tab or window. Reload to refresh your session. You signed out in another tab or window. Reload to refresh your session. You switched accounts on another tab or window. Reload to refresh your session. Dismiss alert
ARM64 Performance in .NET 5 - .NET Blog
The .NET team has significantly improved performance with .NET 5, both generally and for ARM64. You can check out the general improvements in the excellent and detailed Performance Improvements in .NET 5 blog by Stephen. In this post, I will describe the performance improvements we made specifically for ARM64 and show the positive impact on the benchmarks we use. I will also share some of the addi
Linux Applications Performance: Introduction
Articles in this series Part I. Iterative ServersPart II. Forking ServersPart III. Pre-forking ServersPart IV. Threaded ServersPart V. Pre-threaded ServersPart VI: poll-based serverPart VII: epoll-based server On HackerNews There are several interesting takeaways from the HackerNews thread for this article series. Do check it out. Web apps are the staple of consumers and enterprises. Among the man
Spring Boot Memory Performance - DZone
It has sometimes been suggested that Spring and Spring Boot are “heavyweight,†perhaps just because they allow apps to punch above their weight, providing a lot of features for not very much user code. In this article we concentrate on memory usage and ask if we can quantify the effect of using Spring? Specifically we would like to know more about the real overhead of using Spring compared to othe
Linux Systems Performance 2016
The document discusses various aspects of Linux systems performance, focusing on six key facets: observability, methodologies, benchmarking, profiling, tracing, and tuning. It details several Linux observability tools and methodologies for analyzing system performance, including CPU profiling and resource analysis. The document emphasizes the importance of careful benchmarking and provides example
PGCon 2015 ã§è¨ˆç®—機システムã®æ€§èƒ½è©•ä¾¡ã«ã¤ã„ã¦è¬›æ¼”ã—ã¦ãã¾ã—㟠- ã¯
カナダã®ã‚ªã‚¿ãƒ¯å¤§å¦ã§é–‹å‚¬ã•ã‚ŒãŸPGCon 2015ã§ã€"The Art of Performance Evaluation" ã¨ã„ã†é¡Œç›®ã§ã€è¨ˆç®—機システムã€ã¨ãã«ãƒ‡ãƒ¼ã‚¿ãƒ™ãƒ¼ã‚¹ã‚·ã‚¹ãƒ†ãƒ ã«é–¢ã™ã‚‹æ€§èƒ½è©•ä¾¡ã®åŸºç¤Žã¨ãªã‚‹è€ƒãˆæ–¹ã¨ã€åŸºæœ¬ã¨ãªã‚‹3ã¤ã®æŠ€èƒ½ï¼ˆãƒ¢ãƒ‡ãƒªãƒ³ã‚°ã€æ¸¬å®šã€ã‚·ãƒŸãƒ¥ãƒ¬ãƒ¼ã‚·ãƒ§ãƒ³ï¼‰ã«é–¢ã—ã¦è¬›æ¼”ã‚’è¡Œã£ã¦ãã¾ã—ãŸã€‚ PGConã¯PostgreSQL関係者ã®é›†ã†æœ€ã‚‚ãƒã‚¤ãƒ¬ãƒ™ãƒ«ãªã‚«ãƒ³ãƒ•ã‚¡ãƒ¬ãƒ³ã‚¹ã®ä¸€ã¤ã§ã€ä¸–ç•Œä¸ã‹ã‚‰PostgreSQLã®ä¸»è¦é–‹ç™ºè€…ãŒé›†ã„ã€PostgreSQLã®é–‹ç™ºæ–¹é‡ã‚’è°è«–ã—ãŸã‚Šã€æœ€æ–°ã®PostgreSQLã«é–¢ã™ã‚‹æŠ€è¡“å‹•å‘ãŒè©±ã—åˆã‚ã‚Œã‚‹å ´ã¨ãªã£ã¦ã„ã¾ã™ã€‚ PostgreSQLã®é–‹ç™ºã‚„使ã„æ–¹ãªã©æ¯”較的具体論ãŒå–り扱ã‚れるã“ã¨ãŒå¤šã„ä¸ã€è‡ªåˆ†ã®è¬›æ¼”ã¯ã‚„や異色ãªç™ºè¡¨ã§ã¯ã‚ã‚Šã¾ã—ãŸãŒã€ã‚·ã‚¹ãƒ†ãƒ ソフトウェアã®é–‹ç™ºã«ãŠã„ã¦æ£ã—ã„性能評価ã®è€ƒãˆæ–¹ã‚’知るã“ã¨ã¯æ¬ ãã“ã¨ã®ã§ããªã„é‡è¦ãªæŠ€èƒ½ã§ã‚ã‚‹ã®ã§ã€ãã®ç‚¹
『アメーãƒãƒ”ã‚°ã«ãŠã‘ã‚‹DB構æˆ&対応記ã€
2ヶ月å‰ã«ã‚¤ãƒ³ãƒ•ãƒ«ã‚¨ãƒ³ã‚¶ã¨ã‚¦ã‚£ãƒ«ã‚¹æ€§èƒƒè…¸ç‚Žã§ã²ã©ãダメージをå—ã‘ãŸå¢—ç”°(@masudaK)ã§ã™ã€‚アメーãƒãƒ”ã‚°ã¯2009å¹´2月ã«å§‹ã¾ã£ãŸã‚µãƒ¼ãƒ“スã§ã€FLASH・Javaã§ä½œã‚‰ã‚Œã¦ã„ã¾ã™ã€‚ãã—ã¦ã€ãƒ‡ãƒ¼ã‚¿ã‚¹ãƒˆã‚¢ã«MySQLを用ã„ã¦ã¾ã™ã€‚本記事ã§ã¯ã€ã‚ãŸãã—ãŒ2å¹´ã»ã©è¦‹ç¶šã‘ã¦ã„るアメーãƒãƒ”ã‚°ã®DB環境ã«ã¤ã„ã¦æ§‹æˆã‚„ã€æ—¥ã€…ã©ã®ã‚ˆã†ã«ã—ã¦å•é¡Œã¨å‘ãåˆã£ã¦ã„ã‚‹ã‹ã‚’紹介ã—ãŸã„ã¨æ€ã„ã¾ã™ã€‚インフラ寄りã®å†…容ãŒå¤šã„ãŸã‚ã€ã‚¢ãƒ—リ寄りã®è©±ã¯å¼Šç¤¾ç”Ÿæ²¼ã®è³‡æ–™ã‚’御覧ãã ã•ã„。 1. 構æˆã¨è¦æ¨¡ 1.1. æ§‹æˆ ã¾ãšæ§‹æˆã§ã™ãŒã€èªã¿æ›¸ãã¯ã™ã¹ã¦ãƒžã‚¹ã‚¿ãƒ¼ã¸è¡Œã†ã‚ˆã†ã«ã—ã¦ã„ã¾ã™ã€‚ãã®ãŸã‚ã€ã‚¹ãƒ¬ãƒ¼ãƒ–ã«ã¯å‚照をå‘ã‘ãšã€ãƒ›ãƒƒãƒˆã‚¹ã‚¿ãƒ³ãƒã‚¤ã¨ã—ã¦ä½¿ã£ã¦ã„ã¾ã™ã€‚ãƒãƒ¼ã‚¸ãƒ§ãƒ³ã«é–¢ã—ã¦ã¯2012å¹´ä¸æ—¬ã¾ã§ã¯5.0を使ã£ã¦ã¾ã—ãŸãŒã€DC移転ã«ã‚ã‚ã›ã¦5.5ã«ã‚ã’ã¾ã—ãŸã€‚ãƒãƒƒã‚¯æ©Ÿèƒ½ã‚’用ã„ãŸã‚·ãƒ£ãƒ¼ãƒ‰æ§‹æˆã‚’ã—ã¦ã¾ã—ã¦ã€2014å¹´3月ç¾åœ¨6シャードã«ãª
サーãƒã‚™ãƒ¼æœªçµŒé¨“者ã‹ã‚™ã‚½ãƒ¼ã‚·ãƒ£ãƒ«ã‚±ã‚™ãƒ¼ãƒ を通ã—ã¦çŸ¥ã£ãŸã‚µãƒ¼ãƒã‚™ãƒ¼ã®äº‹
2014/2/8ã«è¡Œã£ãŸã‚²ãƒ¼ãƒ サーãƒå‹‰å¼·ä¼šã§ã®ã‚¹ãƒ©ã‚¤ãƒ‰ã§ã™ã€‚ サーãƒãƒ¼æœªçµŒé¨“者ãŒã‚½ãƒ¼ã‚·ãƒ£ãƒ«ã‚²ãƒ¼ãƒ を通ã—ã¦çŸ¥ã£ãŸã‚µãƒ¼ãƒãƒ¼ã®äº‹ã€‚ 失敗経験を元ã«ä½•æ•…今ãŒã“ã†ãªã£ã¦ã„ã‚‹ã‹ã¨ã„ã†ã®ã‚’è©°ã‚è¾¼ã¿ã¾ã—ãŸã€‚ åˆå¿ƒè€…〜ä¸ç´šè€…å‘ã‘勉強会ã ã£ãŸã®ã§ã€ãªã‚‹ã¹ãéžã‚¨ãƒ³ã‚¸ãƒ‹ã‚¢ã§ã‚‚イメージã§ä¼ã‚るよã†ã«ã¡ã‚‡ã£ã¨ã ã‘心ãŒã‘ã¦ã¾ã™ã€‚
Devsã®å¸¸è˜ã€DBAã¯éžå¸¸è˜
PostgreSQLã‚’Kubernetes上ã§æ´»ç”¨ã™ã‚‹ãŸã‚ã®Operator紹介ï¼ï¼ˆCloud Native Database Meetup #3 発表資料）
Linux Performance Analysis and Tools
The document discusses Linux performance analysis and tools, focusing on methodologies to identify and resolve performance bottlenecks in operating systems and applications. It emphasizes the importance of understanding system limits to optimize spend and build scalable architectures, while introducing various tools for analysis such as iostat, vmstat, and top. Brendan Gregg, a lead performance en
Make Samba Go Faster - Amahi Wiki
WARNING This is recommended only for advanced users, proceed with caution. Background Amahi makes heavy use of Samba. Samba is what handles shared folders and allow you to connect to your Amahi and browse your folders from Windows etc. Greyhole also uses Samba and it's logs to handle file operations. After installing a wired gigabit network in my house, due to the WIFI being bogged down by 14 wire
Samba Optimization and Speed Tuning @ Calomel.org
home rss search January 01, 2017 Samba Optimizations Samba Optimization and Speed Tuning for Performance Samba, like any other program can use a little speed boost. You want to get the most out of your machines and optimizing your applications can extend their life by doing the job longer. Samba needs to be tuned to your network because every enviorment offers its own unique set of challenges. Her
Mono 3.0 is out - Miguel de Icaza
After a year and a half, we have finally released Mono 3.0. Like I discussed last year, we will be moving to a more nimble release process with Mono 3.0. We are trying to reduce our inventory of pending work and get new features to everyone faster. This means that our "master" branch will remain stable from now on, and that large projects will instead be developed in branches that are regularly la
Videos
All of Percona’s open source software products, in one place, to download as much or as little as you need.
1000 å°è¶…ã®å¤§è¦æ¨¡ã‚·ã‚¹ãƒ†ãƒ ã«ãŠã‘ã‚‹ Solaris NFS 実装ã®å•é¡Œ
藤原 克則 ( FUJIWARA Katsunori ) å‰è·ã§ã€ HPC ( High Performance Computing ) 系システムã®ãŸã‚ã« Solaris å‘ã‘ファイルシステムを実装ã—ãŸã®ã‚’æ©Ÿã«ã€ OpenSolaris 勉強会ã«å‚åŠ ã€‚ 「入門Mercurial Linux/Windows対応ã€ã€ 「俺ã®ã‚³ãƒ¼ãƒ‰ã®ã©ã“ãŒæ‚ªã„?―コードレビューを攻略ã™ã‚‹40ã®ãƒ«ãƒ¼ãƒ«ã€ã€ 「アセンブラã§èªã¿è§£ãプãƒã‚°ãƒ©ãƒ ã®ã—ãã¿ã€ ã¨ã„ã£ãŸæ›¸ç±ã®åŸ·ç†ã‚„〠技術系ウェブ媒体ã¸ã®è¨˜äº‹ã®å¯„稿ã¨ã„ã£ãŸã“ã¨ã‚‚。
ランã‚ング
ãŠçŸ¥ã‚‰ã›
ランã‚ング
リリースã€éšœå®³æƒ…å ±ãªã©ã®ã‚µãƒ¼ãƒ“スã®ãŠçŸ¥ã‚‰ã›
最新ã®äººæ°—エントリーã®é…ä¿¡
j次ã®ãƒ–ックマーク
kå‰ã®ãƒ–ックマーク
lã‚ã¨ã§èªã‚€
eコメント一覧を開ã
oページを開ã
ã™ã“ã‚„ã‹Rails
mPulse — Real User Performance Monitoring and Real-Time Analytics | Akamai
https://blogs.oracle.com/brendan/entry/l2arc_screenshots
https://constantin.glez.de/blog/2010/04/ten-ways-easily-improve-oracle-solaris-zfs-filesystem-performance
Red Hat Enterprise Linux - Red Hat Customer Portal
{{#tags}}- {{label}}
{{/tags}}