#databasescaling
Live, measured metrics for the hashtag #databasescaling from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #databasescaling
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.social (Mastodon public tags API) · fetched 2026-10-01 16:19 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.social (Mastodon public search API) · fetched 2026-10-01 16:19 UTCNo related tags with measured usage found for #databasescaling.
Live pulse
measured · mastodon.social (Mastodon tag timeline) · fetched 2026-10-01 16:19 UTCEverything below is measured over the latest 14 public posts (spanning ~65640 hours).
Posting hours (UTC) — busiest: 20:00
Languages: English (14)
Avg boosts / post: 0.4
Top of the latest posts
Horizontal sharding solves write bottlenecks, but more nodes mean higher operational complexity. Build for your 24-month growth plan, not 10 years. Combine sharding with strict data residency controls (GDPR) to build an audited, multi-node
Boost your PostgreSQL skills with Andrew Atkinson at PG DATA 2026! Join his trainings on SQL Performance Basics, ActiveRecord ORM & Schema Evolution, Scaling with Multiple Databases for practical, hands-on learning to optimize and scale you
OpenAI mở rộng PostgreSQL lên 800 triệu người dùng mà không dùng AI. Họ giữ cơ sở dữ liệu không phân mảnh do phức tạp và tốn thời gian. Điều này đặt câu hỏi: tại sao không dùng AI để giải quyết thách thức kỹ thuật nội bộ? #OpenAI #PostgreSQ
#databasescaling across platforms
every network with a public tag surfaceFollow #databasescaling 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/databasescaling