dual-stream-architecture

Concurrent event publishing utilizes a Go implementation to send data to Kafka for guaranteed durability and Redis Pub/Sub for low-latency real-time delivery simultaneously. This dual-stream approach supports applications like live dashboards requiring instant updates and reliable storage.

Dual-stream architecture is an event-driven pattern combining Kafka for data durability and Redis Pub/Sub for low-latency real-time delivery. It solves the problem of ensuring reliable event storage while providing instant updates to systems like WebSocket backends or live dashboards.

You need both Kafka and Redis Pub/Sub when your event-driven architecture requires guaranteed message persistence alongside low-latency notifications. A common use case is a live trading dashboard where price updates must be instantly visible yet reliably stored for historical analysis.

Yes, the dual-stream concurrent publishing implementation in Go supports batching capabilities for both Kafka and Redis clients. This allows efficient event processing while maintaining guaranteed delivery and instant updates across both streams.

The best way to handle this in Go is using a dual-stream event publishing mechanism that concurrently publishes to Kafka for guaranteed message persistence and Redis Pub/Sub for real-time updates. This approach efficiently supports event-driven architectures needing both reliability and low latency.