# 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/vbrj54a
微服務高可用之熔斷器實現原理與 Golang 實踐**
I. 內容提要在微服務架構中,經常會碰到服務超時或通訊失敗的問題,由於服務間層層依賴,很可能由於某個服務出現問題,不合理的重試和超時設置,導致問題層層傳遞引發雪崩現象,而限流和熔斷是解決這個問題重要的方式。之前發過一篇文章講了限流的幾種實現方案,具體參閱: 分佈式高併發服務限流實現方案今天我們探討熔斷的話題,本章內容提要: 微服務高可用容錯機制 熔斷器設計原理及 Golang 實現 ⌘ Read more