Data Replication

At the database level a shared schema is not recommended (section 8.5). This would couple microservices too tightly since they would have a shared internal data representation. The data has to be replicated into another schema. The schema should meet the requirements of the respective microservice. As microservices are Bounded Contexts, it is very unlikely that the microservices will use the same data model.

Interfaces and Versions

Finally, interfaces are an important foundation for communication and integration (section 8.6). Not all interfaces are equally easy to change. Public interfaces can be practically impossible to change because too many systems depend on them. Internal interfaces can be changed more easily. In the simplest case public interfaces just route certain functionality to suitable microservices. Semantic Versioning is useful for giving a meaning to version numbers. To ensure a high level of compatibility the Robustness Principle is helpful.

This section has hopefully shown that microservices are not just services that use RESTful HTTP. This is just one way for microservices to communicate.

Essential Points

  • • At the UI level the integration of HTML user interfaces is particularly straightforward. SPAs, desktop applications, and mobile apps are deployment monoliths where changes to the user interface for a microservice have to be closely coordinated with other changes.
  • • Though REST and RPC approaches offer a simple programming model at the logic level, messaging makes a looser coupling possible and can cope better with the challenges of distributed communication via the network.
  • • Data replication enables high-performance access to large amounts of data. However, microservices should never use the same schema for their data since this means the internal data representation can no longer be changed.
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