Event-driven architecture is a solid choice for scaling databases, especially when you need to handle lots of changes and keep everything consistent. Think about applications that get a constant stream of updates, like social media feeds or financial trading platforms. Those need to react fast to new info.

We've been chatting a bunch about scaling databases, and event-driven architecture keeps popping up. I'm really wondering where it makes the most sense for database scaling. Say we have a system with lots of writes where eventual consistency is fine, does an event-driven setup with different read models truly make it easier? Or are there other patterns where it's super good, like for getting data to sync between various database types? I'm just trying to figure out if we're making things too hard by looking at this, or if there are clear times when the good stuff you get from it is worth the extra work.