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Design a global multi-game leaderboard
Design a Global, Multi-Game Leaderboard (Ladder) Service
You are tasked with designing a global leaderboard platform that supports multiple games and game modes. Player rankings should update in near real-time after a match concludes.
Requirements:
- API Definitions: Design APIs for:
- Submitting match results (individually or in batches).
- Retrieving leaderboards (global, regional, friends, by game mode, by season).
- Fetching a specific player's current rank.
- Data Model: Propose a data model for players, games, matches, player ratings, and leaderboards.
- Ranking Algorithm: Select a suitable ranking algorithm (e.g., Elo, Glicko-2, TrueSkill) and justify your choice.
- Write Path: Detail the process from receiving match results to computing and propagating rank updates.
- Read Path: Describe how to efficiently serve low-latency leaderboard queries.
- Caching Strategy: Outline a caching approach to optimize read performance.
- Partitioning: Explain how to shard or partition data by game and region.
- Consistency vs. Latency: Discuss the trade-offs between data consistency and query latency for a global user base.
- Idempotency: Ensure that duplicate match result submissions are handled gracefully.
- Anti-Cheat/Fraud: Propose measures to detect and prevent cheating or fraudulent activities.
- Recalculation Flows: Describe processes for backfilling data or recalculating ranks (e.g., for season resets, algorithm changes, or player bans).
- Fault Tolerance & DR: Address considerations for ensuring system availability and disaster recovery.
AI interview prep
Core dilemma
Balancing the immediate, high-volume write throughput of match results and rank updates with the need for low-latency, consistent reads of global leaderboards across diverse games and regions.
Mid-level signals3
Senior signals4
Red flags4
4 tradeoffs and 3 stress tests locked
Interview prep
Unlock the interviewer X-Ray rubric, tradeoff matrix, stress tests, clarifying questions, and key concepts.
Design a global multi-game leaderboard
Design a Global, Multi-Game Leaderboard (Ladder) Service
You are tasked with designing a global leaderboard platform that supports multiple games and game modes. Player rankings should update in near real-time after a match concludes.
Requirements:
- API Definitions: Design APIs for:
- Submitting match results (individually or in batches).
- Retrieving leaderboards (global, regional, friends, by game mode, by season).
- Fetching a specific player's current rank.
- Data Model: Propose a data model for players, games, matches, player ratings, and leaderboards.
- Ranking Algorithm: Select a suitable ranking algorithm (e.g., Elo, Glicko-2, TrueSkill) and justify your choice.
- Write Path: Detail the process from receiving match results to computing and propagating rank updates.
- Read Path: Describe how to efficiently serve low-latency leaderboard queries.
- Caching Strategy: Outline a caching approach to optimize read performance.
- Partitioning: Explain how to shard or partition data by game and region.
- Consistency vs. Latency: Discuss the trade-offs between data consistency and query latency for a global user base.
- Idempotency: Ensure that duplicate match result submissions are handled gracefully.
- Anti-Cheat/Fraud: Propose measures to detect and prevent cheating or fraudulent activities.
- Recalculation Flows: Describe processes for backfilling data or recalculating ranks (e.g., for season resets, algorithm changes, or player bans).
- Fault Tolerance & DR: Address considerations for ensuring system availability and disaster recovery.