Kafka Event Publisher

Overview

Publish events to Kafka topics using Dapr Pub/Sub:

• task-events (for task lifecycle events)
• reminders (for scheduled notifications)
• task-updates (for task state changes)
• Implement proper event schemas (JSON format)
• Ensure idempotency and at-least-once delivery
• Use Dapr for pub/sub – no direct Kafka code
• Validate event publishing with tests

Pre-execution

Before publishing events, verify: "Confirm Dapr pubsub component is configured?"

Post-execution

Validate events are published correctly with Dapr pubsub monitoring

Implementation Guidelines

1. Event Topics Setup

• Configure publishing to task-events topic for task lifecycle events
• Set up reminders topic for scheduled notification events
• Implement task-updates topic for task state change events
• Ensure proper topic partitioning and replication settings

2. Event Schema Implementation

• Define JSON schemas for all event types
• Include proper metadata fields (timestamp, correlation ID, etc.)
• Ensure schema versioning for backward compatibility
• Validate event payload structure before publishing

3. Dapr Integration

• Use Dapr pub/sub API for all event publishing
• Implement proper error handling for publishing failures
• Include retry mechanisms with exponential backoff
• Ensure connection resilience to Kafka brokers

4. Idempotency & Delivery Guarantees

• Implement idempotency keys in events to prevent duplicates
• Ensure at-least-once delivery semantics
• Handle duplicate event processing safely
• Implement proper acknowledgment mechanisms

5. Event Publishing Patterns

• Publish task creation events when new tasks are created
• Send reminder events when tasks reach due date/time
• Emit task update events when task properties change
• Publish task completion events when tasks are marked complete

6. Testing & Validation

• Test event publishing with various payload sizes
• Verify event ordering where required
• Validate event consumption by downstream services
• Monitor event publishing performance and latency