Implementing an analytics BFF

In the Implementing a GraphQL CRUD BFF recipe, we discussed how the BFF pattern accelerates innovation. We have also discussed how different user groups interact with data at different stages in the data life cycle, and how different persistent mechanisms are more appropriate at the different stages. In this recipe, we will create a BFF service that provides statistics about the life cycle of data. The single responsibility of this service is accumulating and aggregating metrics about data in a specific bounded context. It applies the Event Sourcing pattern to create a micro event store that is used to continuously calculate a materialized view of the metrics. The service exposes a RESTful API.

How to do it...

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