# 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/gfzm2ya
yue-fang-readfog
feeds.twtxt.net
View Thread
一致性哈希的基本概念及其 Golang 實現**
在大規模分佈式系統的世界中，高效地管理和分配數據是一個關鍵挑戰。一種廣泛使用的技術是一致性哈希。這種方法確保數據在多個服務器之間均勻分佈，即使服務器的數量隨時間變化也是如此。本文將探討水平擴展、簡單哈希和一致性哈希的概念，並提供一個 Go 語言的示例實現。水平擴展在分佈式系統中，數據通常無法容納在單個服務器上。爲了處理大規模數據，數據被分佈在多臺機器上，這個過程稱爲水平擴展或分片。爲了確保可預測的 ⌘ Read more