Load testing for engineering teams | Grafana k6
The best developer experience for load testingOpen source and SaaS for engineering teams Prevent failures. Improve reliability. Release with confidence.Test early and continuously—break the QA silo in performance testing DevelopersBackend and frontend engineers prevent regressions when running performance tests. Site Reliability EngineersTest scalability to improve your reliability targets. Test S
MySQLã®ã‚¯ã‚¨ãƒªã®è‰¯ã—悪ã—ã¯rows_examinedã§åˆ¤æ–ã™ã‚‹ - ã‹ã¿ã½ã‚ーる
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AbemaTVã®ãƒ©ãƒ³ã‚¿ã‚¤ãƒ パフォーマンスã®Audit - 1000ch.net
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Python ã®æ–°ã—ã„プãƒãƒ•ã‚¡ã‚¤ãƒ© vmprof ãŒé¢ç™½ã„ - methaneã®ãƒ–ãƒã‚°
PyPy 2.6 ã¨åŒæ™‚ã«ã€ vmprof ã¨ã„ㆠCPython/PyPy 用ã®ãƒ—ãƒãƒ•ã‚¡ã‚¤ãƒ©ãŒç™»å ´ã—ã¾ã—ãŸã€‚ ç§ã¯ã¾ã PyPy ã§ã¯ä½¿ã£ã¦ã„ã¾ã›ã‚“ãŒã€CPythonã®ãƒ—ãƒã‚¸ã‚§ã‚¯ãƒˆã‚’ã“ã‚Œã§ãƒ—ãƒãƒ•ã‚¡ã‚¤ãƒ«å–ã£ã¦ã¿ãŸã‚‰ãªã‹ãªã‹é¢ç™½ã‹ã£ãŸã®ã§ç´¹ä»‹ã—ã¾ã™ã€‚ æ¦‚è¦ Python ã«ã¯ã‚‚ã¨ã‚‚ã¨æ¨™æº–ライブラリã¨ã—ã¦ãƒ—ãƒãƒ•ã‚¡ã‚¤ãƒ© (cProfile) ãŒä»˜ã„ã¦ãã¦ã„ã¾ã™ãŒã€ã“ã‚Œã¯é–¢æ•°ã®å‘¼ã³å‡ºã—ã¨æˆ»ã‚Šã§ã‚³ãƒ¼ãƒ«ãƒãƒƒã‚¯é–¢æ•°ã‚’呼ã³å‡ºã—ã¤ã¤å®Ÿè¡Œæ™‚間を計測ã™ã‚‹ã‚¿ã‚¤ãƒ—ã®ãƒ—ãƒãƒ•ã‚¡ã‚¤ãƒ©ã§ã€çŸæ™‚é–“ã§ã‚‚æ£ç¢ºãªãƒ—ãƒãƒ•ã‚¡ã‚¤ãƒ«ãŒå–れるåé¢ã€ã‚ªãƒ¼ãƒãƒ¼ãƒ˜ãƒƒãƒ‰ãŒå¤§ããã€å°ã•ã„関数をãŸãã•ã‚“呼ã³å‡ºã™éƒ¨åˆ†ãŒã‚ªãƒ¼ãƒãƒ¼ãƒ˜ãƒƒãƒ‰ã§ã‚ˆã‚Šå¤§ãã見ãˆã¦ã—ã¾ã†ãªã©ã®å•é¡ŒãŒã‚ã‚Šã¾ã—ãŸã€‚ ã“ã‚Œã¨åˆ¥ã®ç¨®é¡žã®ãƒ—ãƒãƒ•ã‚¡ã‚¤ãƒ©ã¨ã—ã¦ã€å®šæœŸçš„ã«ã‚µãƒ³ãƒ—リングã—ã¦ã€ã‚µãƒ³ãƒ—ルãŒå¤šã„ã¨ã“ã‚ãŒå®Ÿè¡Œæ™‚間も多ã„ãƒã‚ºã€ã¨ã„ã†ãƒ—ãƒãƒ•ã‚¡ã‚¤ãƒ©ã‚‚ã‚ã‚Šã¾ã™ã€‚ã“ã¡ã‚‰ã¯ã‚る程度ã®é‡ã®ã‚µãƒ³ãƒ—ルを集ã‚ãªã„ã¨
Building a better DatabaseCache for Django on MySQL - Adam Johnson
Building a better DatabaseCache for Django on MySQL2015-05-17I recently released version 0.1.10 of my library django-mysql, for which the main new feature was a backend for Django’s cache framework called MySQLCache. This post covers some of the inspiration and improvements it has, as well as a basic benchmark against Django’s built-in DatabaseCache. TL;DR - it’s better than DatabaseCache, and if
High Performance Web - Reducing Database Round Trips | XOR Media
2013-05-13 Background There are two main sources of latency in the backend of web applications: rendering (HTML templating or data serialization) and IO (database or external service calls.) Today we’ll look at the latter and more specifically focus getting rid of extraneous database round trips. The fastest query possible is one that doesn’t happen. Before we get in to the details I’ll mention th
CSS filters, GIFs, and performance
A few months ago, I blatantly ripped off Charlie Gleason’s idea. His presentation at MelbJS featured greyscale, full-screen, animated GIFs (of his own face, among other things) behind the text on many slides. I discovered that he’d painstakingly edited and optimised each GIF in Photoshop so it looked good behind the text on each slide. I wanted to do the same thing, but without all that work. The
Using Django querysets effectively
Object Relational Mapping (ORM) systems make interacting with an SQL database much easier, but have a reputation of being inefficient and slower than raw SQL. Using ORM effectively means understanding a little about how it queries the database. In this post, I’ll highlight ways of efficiently using the Django ORM system for medium and huge datasets. Django querysets are lazy A queryset in Django r
Chrome DevTools.next
1. Chrome  DevTools.next 2012/12/21 Cyber  Agent Toru  Yoshikawa  (  @yoshikawa_̲t  ) 2. Who? å‰å·  徹  /  Toru  Yoshikawa @yoshikawa_̲t C.A.Mobile  Web先端技術フェãƒãƒ¼ Google  API  Expert  (  Chrome  ) コミュニティ活動 html5j.org/HTML5ã¨ã‹å‹‰å¼·ä¼šã‚¹ã‚¿ãƒƒãƒ• ⽇日本jQuery  Mobileユーザー会  管ç†ï§¤â¼ˆäºº Sublime  Text  2  Japan  Users  Group  管ç†ï§¤â¼ˆäºº allWebクリエイター塾/jQuery  Mobile担当講師 Blog:  http://d.hatena.ne.jp/pikotea/ 3. 著書 「HTML5ガイドブック  増補改訂版ã€ï¼ˆ
Web Fonts Performance: Making Pretty, Fast - igvita.com
By Ilya Grigorik on September 12, 2012 The use of web fonts is surging. Just over the last year, the use of web fonts has doubled from ~6% to over ~12% according to the HTTP Archive. In the same time, Google Web Fonts has seen a 10x in the amount of requests, recently crossing 1B font views per day across 100M+ web pages. And there are no signs of slowdown in the adoption. Historically, web fonts
Django ORM performance tips - part 1 - Huseyin Yilmaz
Django ORM performance tips - part 1 9 March 2011 This blog post will be split into two part. After I finish part two, I will add a link at the bottom of this one. For both parts I will use a sample project with sqlite3 database. models.py file for sample application is here: Django encapsulates SQL queries with its ORM infrastructure. This is a very nice feature for developers, since it makes imp
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酒粕ã¿ã焼豚 美味ã—ã„酒粕ã®æ™‚期ã§ã™ã。 今年も豚ã‹ãŸãƒãƒ¼ã‚¹ã®ãƒ–ãƒãƒƒã‚¯ã§ç„¼è±šã‚’作りã¾ã—ãŸã€‚800gã‚’2ç‰åˆ†ã«ã€‚ ãŠè‚‰ã‚’コーティングã—ãŸã®ã¯ã€é…’粕ã€å‘³å™Œ150gãšã¤ã€ã™ã‚ŠãŠã‚ã—ã«ã‚“ã«ã3片ã€å‘³é†‚åŠã‚«ãƒƒãƒ—ã€é†¤æ²¹å°1ã‚’åˆã‚ã›ãŸã‚‚ã®ã§ã™ï¼ˆå‘³å™Œã®å‘³ã€ç²˜ã‚Šã«åˆã‚ã›ã€åˆ†é‡ã¯èª¿æ•´ï¼‰ç·©ã„ã¨æµã‚Œâ€¦
A Guide to Analyzing Python Performance
Introduction Coarse grain timing with time Fine grain timing with a timing context manager Line-by-line timing and execution frequency with a profiler How much memory does it use? IPython shortcuts for line_profiler and memory_profiler Where’s the memory leak? Which objects are the most common? Which objects have been added or deleted? What is referencing this leaky object? Effort vs precision Ref
Django Memcached: Optimizing Django Through Caching
Looking for Python Tutoring? Remote and local (NYC) slots still available! Email me at [email protected] for more info. Caching is a subject near and dear to the heart of many performance-minded programmers. For those coming to web programming without other programming experience, caching may be a new topic. For programmers new to the web, using an external cache may be an approach not yet consid
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Profiling Django Applications: A Journey From 1300 to 2 queries - Hackers Gonna Hack
https://www.pushingtheweb.com/2012/02/three-projects-to-boost-your-python-performance/
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