Data Consistency might be a pain in the ass. It is a well-known source of unexpected surprises. What is it? What does it depend on? Why is it so often overseen? And how to achieve different types of consistency in a distributed system? All right here...

Clean Architecture is a pretty bold statement and quite a hollow and opaque thing to say. I think of Clean Architecture as philosophy. It is not about the system today, but about the system today and tomorrow. More details inside

Systems do evolve and unavoidably evolution leads to breaking changes... If you are doing event sourcing, events evolution is unavoidable, ultimately you will crash 🔥🚒 into it. The more you know, the better you prepared, as they say 🤓

Events, events, events... Events are everywhere... Event Sourcing, Event Streaming, Asynchronous services and much more. All these technical contexts have something in common, but a lot is different. And this is what this article is about 🤓