1,000,000 daily users and no cache
Online games pose a few interesting challenges on their backend: A single user generates one http call every few seconds and the balance between data read and write is close to 50/50 which makes the use of a write through cache or other common scaling approaches less effective. Starting from a rather classic rails application as the traffic grew we gradually changed it in order to meet the require
一秒間にソーシャルとモバイルで何が起きているか
3. 7 (Facebook, Jan to March 2011) https://www.facebook.com/press/info.php?statistics 10 2012 6 7 (Socialbackers, August 2011) http://www.socialbakers.com/blog/182-the-ultimate-answer-when-will-facebook-hit-1-billion-users/ 4. 11600 ( , , , , , , etc.) 2900 / (Facebook, August 2011) OLTP Performance (MySQL Tech Talk, November 2010) Queries response: 4ms reads, 5ms writes Network bytes per second:
1
リリース、障害情報などのサービスのお知らせ
最新の人気エントリーの配信
処理を実行中です
j次のブックマーク
k前のブックマーク
lあとで読む
eコメント一覧を開く
oページを開く
Elements of Statistical Learning: data mining, inference, and prediction. 2nd Edition.
