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{ "category": "PyCon US 2010", "language": "English", "slug": "pycon-2010--scaling-python-webapps-from-zero-to-5", "speakers": [ "Jinal Jhaveri" ], "tags": [ "casestudy", "database", "memcache", "paster", "profiling", "pycon", "pycon2010", "tornado" ], "id": 258, "state": 1, "title": "Scaling Python webapps from zero to 50 million users - A top-down approach. (#134)", "summary": "", "description": "Scaling Python webapps from zero to 50 million users - A top-down approach\n\nPresented by Jinal Jhaveri\n\nLOLapps is one of the top providers of social games and user generated\napplications with 50+ million monthly uniques on Facebook, MySpace and Bebo.\nThis session will focus on the top-down approach we took to scale our webapps\nfor millions of users. Here are the 6 topics we will cover:\n\n * Why is performance a big issue for Social Media \n * How we profiled our apps and found bottlenecks using custom developed and existing middleware \n * The web application best practices we applied and results obtained \n * How we traced database connection leaks \n * Our caching strategies and the changes we made to speed up the memcache client \n * Results of our experiment using Paster and Tornado as our web servers. \n\n", "quality_notes": "", "copyright_text": "Creative Commons Attribution-NonCommercial-ShareAlike 3.0", "embed": "", "thumbnail_url": "", "duration": null, "video_ogv_length": 131211611, "video_ogv_url": "", "video_ogv_download_only": false, "video_mp4_length": null, "video_mp4_url": "", "video_mp4_download_only": false, "video_webm_length": null, "video_webm_url": null, "video_webm_download_only": false, "video_flv_length": null, "video_flv_url": null, "video_flv_download_only": false, "source_url": "", "whiteboard": "", "recorded": "2010-02-19", "added": "2012-02-23T04:20:00", "updated": "2014-04-08T20:28:28.194" }