#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 · mastodon.online (Mastodon public tags API) · fetched 2026-10-17 18:54 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 2026-10-17 18:54 UTCLive pulse
measured · mastodon.online (Mastodon tag timeline) · fetched 2026-10-17 18:54 UTCEverything below is measured over the latest 40 public posts (spanning ~18112 hours).
Posting hours (UTC) — busiest: 07:00
Languages: English (30) · Russian (5) · Portuguese (2) · Indonesian (1) · German (1) · Chinese (China) (1)
Avg boosts / post: 0.5
Top of the latest posts
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
Uber redesigned shard placement in M3DB using fixed-size subclusters to reduce the impact of node failures, maintenance, and scaling. The approach limits shard dependencies, preserves replica isolation, and uses a greedy algorithm to minimi
Redis 7.0 Sharded Pub/Sub binds channels to hash slots, so messages stay on the primaries/replicas that own the slot instead of broadcasting to every https://www.valtersit.com/vault/redis-70-sharded-pubsub-ssubscribe-for-cluster-horizontal-
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