20 lines
953 B
Markdown
20 lines
953 B
Markdown
# Performance and Scalability Design
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## Database Optimization
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- **Indexing Strategy**: Composite indexes on frequently queried combinations
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- **Partitioning**: Tasks partitioned by project and date for large datasets
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- **Caching Layer**: Redis cache for frequently accessed task data
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- **Query Optimization**: GraphQL query complexity limits and batching
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## API Performance
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- **Pagination**: Cursor-based pagination for large result sets
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- **Field Selection**: GraphQL field selection to minimize data transfer
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- **Caching**: HTTP caching headers and ETags for unchanged data
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- **Rate Limiting**: Per-user and per-agent rate limiting
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## Integration Performance
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- **Async Processing**: Background jobs for heavy operations (sync, reports)
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- **Batch Operations**: Bulk APIs for multiple task operations
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- **Event-Driven Updates**: WebSocket notifications for real-time updates
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- **Circuit Breakers**: Fallback strategies for external system failures
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