convore.json/groups/django-community/django-server-requirements/messages.json

[{"user_id": 8990, "stars": [], "topic_id": 11351, "date_created": 1299529540.194927, "message": "it polls for data from other sites the user associated it with; somewhere between 200-500 users", "group_id": 81, "id": 290640}, {"user_id": 8990, "stars": [], "topic_id": 11351, "date_created": 1299529565.5479059, "message": "to be honest if it goes well the sky is the limit imo", "group_id": 81, "id": 290643}, {"user_id": 8990, "stars": [], "topic_id": 11351, "date_created": 1299529546.4878571, "message": "i hope :)", "group_id": 81, "id": 290641}, {"user_id": 8990, "stars": [], "topic_id": 11351, "date_created": 1299529573.963299, "message": "like when they built this", "group_id": 81, "id": 290647}, {"user_id": 8990, "stars": [], "topic_id": 11351, "date_created": 1299530151.422158, "message": "is that enough for a project of this scale?", "group_id": 81, "id": 290798}, {"user_id": 8990, "stars": [], "topic_id": 11351, "date_created": 1299529270.732934, "message": "I was wondering this my first time writing a django application that will need to handle alot of users. I was wondering how people gauge, how much power they will need behind it? Does more traffic mean more memory? I dont think so, but thats just a feeling I have or does it depend and if so on what? I would assume more traffic means more processing power? Are these things true? If note what could I use to measure, and how would I determine how it would scale.", "group_id": 81, "id": 290575}, {"user_id": 1736, "stars": [{"date_created": 1299566472.211664, "user_id": 5582}, {"date_created": 1299708393.039572, "user_id": 2712}], "topic_id": 11351, "date_created": 1299529932.1576109, "message": "Write your app, build with tools that can scale (Postgres, Celery, etc), worry about actual scaling later", "group_id": 81, "id": 290737}, {"user_id": 8990, "stars": [], "topic_id": 11351, "date_created": 1299530117.708503, "message": "I will launching it on a linode server", "group_id": 81, "id": 290785}, {"user_id": 1736, "stars": [], "topic_id": 11351, "date_created": 1299529409.169699, "message": "@myusuf3 Traffic indirectly uses RAM since eventually you will want more workers, unlikely to be the limiting factor but it depends on your app.", "group_id": 81, "id": 290608}, {"user_id": 1736, "stars": [], "topic_id": 11351, "date_created": 1299529440.2125809, "message": "First question is \"What does your app do?\" and the second is \"How many users?\"", "group_id": 81, "id": 290618}, {"user_id": 8990, "stars": [], "topic_id": 11351, "date_created": 1299529586.3313489, "message": "how did they know it wouldn't crash under the load", "group_id": 81, "id": 290648}, {"user_id": 1736, "stars": [], "topic_id": 11351, "date_created": 1299529896.004359, "message": "Generally async tasks like that should be run from Celery other another task queue, so they don't factor in to web loading (though you still need the CPU horsepower)", "group_id": 81, "id": 290728}, {"user_id": 1736, "stars": [], "topic_id": 11351, "date_created": 1299529849.5515051, "message": "500 is not a lot ;-)", "group_id": 81, "id": 290718}, {"user_id": 8990, "stars": [], "topic_id": 11351, "date_created": 1299530111.6695039, "message": "kk", "group_id": 81, "id": 290783}, {"user_id": 1736, "stars": [], "topic_id": 11351, "date_created": 1299533218.2252059, "message": "@myusuf3 Easily.", "group_id": 81, "id": 291495}, {"user_id": 13912, "stars": [], "topic_id": 11351, "date_created": 1299662954.5415289, "message": "from my experience 256mb is too small for something using 1.1+ versions of django if you have more than 1000 visits / 5000 page views per day which is not much", "group_id": 81, "id": 302969}, {"user_id": 13912, "stars": [], "topic_id": 11351, "date_created": 1299662866.700634, "message": "you can start with a 512mb linode and grow it from there", "group_id": 81, "id": 302963}]