Scaling the data layer is often the trickiest part about scaling an application. It's important to keep things in perspective and not try to over-engineer a complex solution that will allow scaling high too prematurely, as it is often a complex and time-consuming effort, but at the same time, it is important to anticipate the upcoming growth to not have your back against the wall when it is time to rework that layer.
We can put things in perspective this way:
In this chapter, we saw so far that it is best to start with a well-known solution like a relational database such as AWS Aurora. In the project exploratory phase, ...
