trace-event-flow

To trace event-driven communication flows between microservices using Dapr PubSub, you map the event journey from publisher to subscriber. This identifies where events are published, how they propagate across services, and where processing bottlenecks occur.

Dapr PubSub events get lost or fail to update subscriber services due to mismatched component namespaces, broker connectivity issues, or incorrect subscription configurations. Tracing the event flow pinpoints the exact service boundary where the event is dropped or processed incorrectly.

You debug Elasticsearch event processing failures in a microservice architecture by tracing the event payload and subscription path. This approach isolates whether the failure originates from the Dapr PubSub publisher, the Redis Streams broker, or the Elasticsearch consumer service.

The best way to visualize how a payment.completed event triggers actions across different services is to map the asynchronous event journey. This highlights the exact subscription endpoints and downstream state updates triggered by the event.

Yes, this event tracing approach works with Redis Streams as the message broker for Dapr. It details the event architecture and key platform event flows specifically utilizing Dapr PubSub backed by Redis Streams to map the microservice communication.

To add and trace a new event in an existing Dapr PubSub microservices setup, follow the step-by-step guidance to define, publish, and subscribe to the event. This ensures the new event flow is correctly mapped and debugged across all participating services.