![]() ![]() I will talk about dual writes, this is a very common issue. To give you a rough idea of what I'm going to talk about, it will be in three large blocks. Today, I would like to talk about a tool which helps us with dealing with some of the aspects and the challenges around data. Also, finally, even some people would name their child data. Or, take this one, the former CEO of Microsoft, "Data, data, data." This was his big statement. Luckily, we are not the only ones, there's this guy, Bill Clinton, and already in '92, he knew "It's about the data, stupid." This was his statement there. There's something about data, and it's good we talk about it here. You will have existing monolithic applications, and now somehow, you need to get your data from the monolith over to the microservice. Let's say you start with a microservice architecture, oftentimes you won't do this on the greenfield. One source needs to propagate data to another. Your microservices, your applications, they don't exist in isolation. Very often, let's say we talk about microservices, then we tend to discuss, what's the best stack? What's the best framework we should use? How can we run this on Kubernetes? How can we scale this to 10 or 100 instances? Very often, we tend not to think about our data. Morling: When I was learning from Gwen that there would be this track about data architectures, I really was happy because I feel oftentimes data is an aspect of our applications, which we tend to forget. ![]()
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