# 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/t7mmacq
架構設計:千萬級流量下的數據強依賴降級**
1 背景互聯網場景下,我們經常會面臨一個產品流量從初創時期的小流量到全盛大流量的過程。 這時候,原本的架構設計就顯得很不合理,變成你追求服務穩定性阻礙。 然而這一切並不一定是你的架構能力的問題,而是在小流量場景下,不能過高的去評估容量和架構冗餘性,避免造成不必要的資源和維護人力的浪費。 能做的是爲以後的架構演進提供可擴展性準備,讓原本強依賴數據存儲層的風險可以實現逐層降級。2 強依賴降級過程 ⌘ Read more