Microservices is about creating lots of small, distributed single-purpose services, with each service owning its own data. This service and data coupling supports the notion of a bounded context and a share-nothing architecture, where each service and its corresponding data are compartmentalized and completely independent from all other services, exposing only a well-defined interface (the contract). This bounded context is what allows for quick and easy development, testing, and deployment with minimal dependencies.
The data-driven migration antipattern occurs mostly when you are migrating from a monolithic application to a microservices architecture. The reason this is an antipattern is that it seems like a good idea at the start to migrate both the service functionality and the corresponding data together when creating microservices, but as you will learn in this chapter, this will lead you down a bad path that can result in high risk, excess cost, and additional migration effort.
There are two primary goals during any microservices conversion effort. The first goal is to split the functionality of the monolithic application into small, single-purpose services. The second goal is to then migrate the monolithic data into small databases (or separate schemas) owned by each service. Figure 1-1 shows what a typical migration might look like when both the service code and the corresponding data are migrated at the same time.
Figure ...
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