#雲端基礎架構
Live, measured metrics for the hashtag #雲端基礎架構 from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #雲端基礎架構
This #name is available to claim. It becomes your portal on the open agent web: this very page, a keyword you rank for by an open public stake, and a verifiable identity for AI agents. Nobody else sells a page like this for every #name.
Day-by-day usage
measured · mastodon.online (Mastodon public tags API) · fetched 2026-08-24 23:07 UTC0 uses by 0 unique accounts across the window. Real per-day counts, not estimates. Newest bar is today so far.
Related hashtags
measured · mastodon.online (Mastodon public search API) · fetched 2026-08-24 23:07 UTCNo related tags with measured usage found for #雲端基礎架構.
Live pulse
measured · mastodon.online (Mastodon tag timeline) · fetched 2026-08-24 23:07 UTCEverything below is measured over the latest 4 public posts (spanning ~4257 hours).
Posting hours (UTC)
Languages: Chinese (Taiwan) (4)
Avg boosts / post: 0
Top of the latest posts
🌗 2026 年 PostgreSQL 效能評測：AWS RDS 與 Hostim 及 Hetzner 自建環境對決 ➤ 性能指標只是開端，高可用性成本纔是雲端決策的核心 ✤ https://hostim.dev/blog/postgres-benchmark-rds-vs-hostim-vs-self-hosted/ 本文針對 PostgreSQL 16 在三種不同運作環境下的效能進行深入評測，包含 AWS RDS (db.t4g.medium)、Hetzner 自建節點
🌘 PgDog 融資公告：讓 PostgreSQL 輕鬆實現水平擴展 ➤ 從實戰需求出發：重新定義 PostgreSQL 的擴展極限 ✤ https://pgdog.dev/blog/our-funding-announcement PgDog 團隊近期宣佈獲得 550 萬美元融資。該公司致力於解決 PostgreSQL 在處理海量數據與高並發查詢時的擴展性瓶頸，目標是讓用戶無需更換資料庫系統，即可在 100 TB 以上的數據規模下維持每秒百萬次的查詢性能。透過其開源的代理
🌗 為何我選擇告別 GitHub，轉向 Forgejo ➤ 從數位主權到技術自主：一場擺脫 AI 與巨頭束縛的遷移之旅 ✤ https://jorijn.com/en/blog/leaving-github-for-forgejo/ 作者決定將程式碼從 GitHub 遷移至自行架構的 Forgejo 平臺，其動機並非單純因為 GitHub 系統不穩定，而是深植於對「數位主權」的擔憂。隨著 GitHub 被併入微軟的 CoreAI 部門，以及強制將用戶互動數據納入 AI 訓練
#雲端基礎架構 across platforms
every network with a public tag surfaceFollow #雲端基礎架構 straight to each platform’s own tag page. Where a platform publishes open data we measure it above; the rest lock their numbers behind paid APIs, so we link rather than guess.
Every number above is measured from a named public API at the shown fetch time. Nothing is estimated or extrapolated. Platforms that lock their data behind paid APIs are not shown. Agents: the same numbers, as JSON, at /api/hashtags/雲端基礎架構