#sharding
Live, measured metrics for the hashtag #sharding from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #sharding
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 · mas.to (Mastodon public tags API) · fetched 2026-10-28 23:51 UTC0 uses by 0 unique accounts across the window. Real per-day counts, not estimates. Newest bar is today so far.
Related hashtags
measured · mas.to (Mastodon public search API) · fetched 2026-10-28 23:51 UTCLive pulse
measured · mas.to (Mastodon tag timeline) · fetched 2026-10-28 23:51 UTCEverything below is measured over the latest 40 public posts (spanning ~25356 hours).
Posting hours (UTC) — busiest: 13:00
Languages: English (32) · Russian (6) · Indonesian (1) · German (1)
Avg boosts / post: 0.3
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
#Sharding is (another) one of the things that makes @couchdb such a scalable distributed database 📐 It’s an architectural consideration that very few DBs make as automatic and transparent as CouchDB. We cover, in depth: - what shards are -
Set spec.shards on the Prometheus CR and the operator spins up N StatefulSets, hashing each target's __address__ to scrape a disjoint 1/N slice. Beats high https://www.valtersit.com/vault/scale-prometheus-shards-with-operatormanaged-shardin
What “sharding” means
WikipediaA database shard, or simply a shard, is a horizontal partition of data within a database or search engine. Each shard may be held on a separate database server instance in order to spread across multiple servers.
“Shard (database architecture)” on Wikipedia (CC BY-SA) →#sharding across platforms
every network with a public tag surfaceFollow #sharding 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/sharding