#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 2026-11-09 09:34 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 2026-11-09 09:34 UTCLive pulse
measured · mastodon.online (Mastodon tag timeline) · fetched 2026-11-09 09:34 UTCEverything below is measured over the latest 40 public posts (spanning ~15874 hours).
Posting hours (UTC) — busiest: 07:00
Languages: English (31) · Russian (5) · Portuguese (2) · Indonesian (1) · German (1)
Avg boosts / post: 0.5
Top of the latest posts
Scaling Postgres to 1M durable workflows per second Postgres 기반 내구성 워크플로를 PgDog로 샤딩해 단일 샤드의 초당 2만 건에서 50개 샤드의 초당 100만 건으로 처리량을 확장했다고 보고했다. 벤치마크에는 각각 16코어·64GB RAM을 갖춘 RDS Postgres 인스턴스 50개와 워커 프로세스 2,400개가 사용됐다. 다만 단계가 없는 단순 워크플로를 큐에 넣는 실험이
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
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