Building Python Applications with Event-Driven Architecture

{
  "title": "Building Python Applications with Event-Driven Architecture",
  "description": "Best practices for developing Python applications using event-driven architecture, focusing on responsiveness and scalability.",
  "category": "Python Cursor Rules",
  "rules": [
    {
      "name": "Use Asynchronous Communication",
      "description": "Implement asynchronous communication between components to enhance system responsiveness and scalability. Utilize Python's `asyncio` library to manage non-blocking operations effectively."
    },
    {
      "name": "Ensure Idempotent Event Handlers",
      "description": "Design event handlers to be idempotent, ensuring that processing the same event multiple times has no adverse effects. This approach maintains consistency and reliability in distributed systems."
    },
    {
      "name": "Define Clear Event Schemas",
      "description": "Establish well-defined event schemas using tools like JSON Schema or Avro. Clear schemas facilitate seamless integration between event producers and consumers, reducing potential errors."
    },
    {
      "name": "Implement Retry Mechanisms",
      "description": "Incorporate retry logic in event consumers to handle transient failures gracefully. Utilize exponential backoff strategies to prevent overwhelming the system during recovery attempts."
    },
    {
      "name": "Monitor and Log Events",
      "description": "Set up comprehensive monitoring and logging for all events to maintain system health. Use tools like ELK Stack or Prometheus to track event throughput, latency, and error rates."
    },
    {
      "name": "Secure Event Data",
      "description": "Implement security measures such as TLS encryption for data in transit and role-based access control to ensure that only authorized components can produce or consume events."
    },
    {
      "name": "Handle Event Ordering",
      "description": "Design systems to manage event ordering when necessary. Use sequence numbers or timestamps to process events in the correct order, ensuring data consistency."
    },
    {
      "name": "Design for Scalability",
      "description": "Architect the system to scale horizontally by adding more event consumers as needed. Utilize cloud services that support auto-scaling to handle varying workloads efficiently."
    },
    {
      "name": "Document Event Flows",
      "description": "Maintain thorough documentation of event flows, including schemas, producers, consumers, and processing logic. Clear documentation aids in onboarding and system maintenance."
    },
    {
      "name": "Test Event Processing",
      "description": "Develop comprehensive tests for event processing logic, including unit and integration tests. Ensure that the system handles various scenarios, including failure cases, to maintain robustness."
    }
  ]
}