{
  "copyright_text": "Creative Commons Attribution license (reuse allowed)",
  "description": "Montreal, April 14, 2014 - <NAME> gives an overview of the problems that Facebook faces deploying cache services that answer over a billion queries per second while maintaining sub-millisecond response time. He describes the strategies that he uses to mitigate them and since Python is a critical piece of the puzzle, he highlights some of the areas of this usage. I tells war stories and the sense of scale can feel crushing at times, but he does his best to keep it entertaining.\u00b8\n\nUseful links:\n\n* Memecache: https://www.facebook.com/MemcacheAtFacebook\n* Yannick: https://twitter.com/ygingras\n* MP45: http://sflx.ca/mp45e\n* Montreal Python: http://montrealpython.org\n* Savoir-faire Linux: http://www.savoirfairelinux.com",
  "duration": 1223,
  "language": "eng",
  "recorded": "2014-04-14",
  "related_urls": [
    {
      "label": "group web",
      "url": "https://montrealpython.org"
    },
    {
      "label": "MP45",
      "url": "http://montrealpython.org/en/2014/03/mp45/"
    },
    {
      "label": "Savoir-faire Linux",
      "url": "http://www.savoirfairelinux.com"
    },
    {
      "label": "<NAME> twitter",
      "url": "https://twitter.com/ygingras"
    },
    {
      "label": "Memecache",
      "url": "https://www.facebook.com/MemcacheAtFacebook"
    }
  ],
  "speakers": [
    "<NAME>"
  ],
  "tags": [],
  "thumbnail_url": "https://i.ytimg.com/vi/2IX3xhHEEuk/maxresdefault.jpg",
  "title": "Scaling the Facebook Cache Infrastructure with Python",
  "videos": [
    {
      "type": "youtube",
      "url": "https://www.youtube.com/watch?v=2IX3xhHEEuk"
    }
  ]
}
