# I am the Watcher. I am your guide through this vast new twtiverse.
# 
# Usage:
#     https://watcher.sour.is/api/plain/users              View list of users and latest twt date.
#     https://watcher.sour.is/api/plain/twt                View all twts.
#     https://watcher.sour.is/api/plain/mentions?uri=:uri  View all mentions for uri.
#     https://watcher.sour.is/api/plain/conv/:hash         View all twts for a conversation subject.
# 
# Options:
#     uri     Filter to show a specific users twts.
#     offset  Start index for quey.
#     limit   Count of items to return (going back in time).
# 
# twt range = 1 1
# self = https://watcher.sour.is/conv/mhkp77a
流量拆分:如何通過架構設計緩解流量壓力?**
今天,我打算以直播互動作爲例子,引領大家一同去了解在面對讀多寫多的情況時,應當怎樣去應對所產生的流量壓力。通常而言,這類服務在多數情況下都屬於實時互動服務。由於其對時效性有着極高的要求,這就致使在許多場景當中,我們沒辦法藉助讀緩存的方式來減輕核心數據所承受的壓力。那麼,爲了有效降低這類互動服務器所面臨的壓力,我們能夠從架構層面着手,開展一些具有靈活性的拆分操作,並對其進行相應的設計改造。實際上,這 ⌘ Read more