Gaming Matchmaking

Gaming Matchmaking high-level architecture and considerations.

Requirements

Functional Requirements

• Core CRUD and list/search

Non-functional Requirements

• Availability, latency targets

High-Level Design

• Client → API → DB
• Cache hot reads

Capacity & Sizing

• Req/s, data size, growth rate

Key Components

• API, DB, Cache

Architecture

Data Model

• entities (id PK, ts, data_json)

APIs

• GET /api/entities
• POST /api/entities
• GET /api/entities/:id

Hot Path

1. Create → read → update

Caching & TTL

• Cache hot reads for seconds; conditional requests

Scaling

• Shard by id
• Cache hot reads
• Async writes

Trade-offs

• Consistency vs availability
• Cost vs latency
• Simplicity vs features

Failure Modes & Mitigations

• DB outage → degrade reads
• Hot keys → rate limit
• Network partitions → retries

Observability

• Error rate
• latency
• capacity