Why architecture matters here

Leaderboards fail on fraud (cheat scores), inconsistency (rank changing mid-view), and stale display. Architecture matters because ingest + fraud + display need to combine.

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The architecture: every piece explained

The top strip is ingest. Score events streaming. Ranking store sorted set. Snapshot atomic. Fraud detection patterns.

The middle row is display. Filters region/cohort/bans. Tiebreakers consistent order. Display cache hot. History week/month trends.

The lower rows are ops. Personalization. Metrics latency + freshness. Ops anti-abuse + audit + backfill.

Leaderboard — ingest + ranking + snapshot + fraud + displaytop-N under load, honestlyScore eventsstreaming ingestRanking storesorted set / RedisSnapshotatomic displayFraud detectioncheating patternsFiltersregion / cohort / bansTiebreakersconsistent orderDisplay cachehot top-NHistory + trendsweek / monthPersonalizationuser rank + contextMetricslatency + freshnessOps — anti-abuse + audit + backfillfilterbreakcachetrendpersonalizewatchwatchoperateoperate
Leaderboard pipeline with fraud + freshness.
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End-to-end flow

End-to-end: score event ingested. Ranking store updated. Fraud detector flags suspicious pattern; investigation removes score. Snapshot produced every second. Display cache serves top-100 in 10ms. User sees their rank + top-10 with tiebreakers consistent.