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Data Flow

How data moves through the Sprout platform.

Event Data Flow​

Inventory Management Flow​

Price Monitoring Flow​

Purchase Processing Flow​

Event Matching Flow​

Data Synchronization​

Real-time Updates​

  • WebSocket connections (if implemented)
  • Polling mechanisms
  • Event-driven updates

Batch Processing​

  • Scheduled cron jobs
  • Queue-based processing
  • Bulk updates

Data Storage Strategy​

PostgreSQL​

  • Primary data store
  • Transactional data
  • Relational data

Redis​

  • Caching layer
  • Session storage
  • Queue storage

MeiliSearch​

  • Full-text search
  • Fast queries
  • Search indexes

Error Handling​

Retry Logic​

  • Exponential backoff
  • Maximum retry attempts
  • Dead letter queues

Error Tracking​

  • Sentry for error tracking
  • Logging for debugging
  • Metrics for monitoring

Performance Optimization​

Caching​

  • Redis for frequently accessed data
  • MeiliSearch for search results
  • In-memory caching

Queue Processing​

  • Parallel processing
  • Priority queues
  • Rate limiting

Next Steps​