Summary

This chapter explored the concept of real-time data streaming in microservices architecture. We used the example of an earthquake data-streaming service to illustrate how microservices can efficiently handle continuous flows of information.

Rather than storing data in bulk, the producer service publishes data as a continuous stream, allowing immediate processing and analysis as each new data point arrives. This approach is beneficial for real-time scenarios where immediate processing and analysis are crucial.

Another microservice acts as the consumer in this scenario. It subscribes to the earthquake data stream produced by the first service. As new data arrives, the consumer microservice receives and processes it in real time.

The consumer microservice can perform various actions based on the earthquake data. It might trigger alerts, update dashboards, or integrate with other services for further analysis and response.

Real-time data streaming with microservices...