Cloud as a Story - Vunvulea Radu

 When we talk about cloud integration, many people think first about connecting the APIs. But the real challenge comes when we talk about scaling. How do we ensure that a system continues to work when traffic grows, when events come faster, or when one side of the system scales differently from the other? In this post, I want to show how we can connect Azure Event Grid, Azure Functions, and AWS Kinesis in a way that scales correctly. The idea is simple — we read events from Event Grid, transform them in an Azure Function, and push them into Kinesis — but making it scale well across clouds needs some attention. Azure Event Grid — it’s all about scalability Many people believe that Azure Event Grid scales automatically without limits. That is not really true. Event Grid can handle many events , but has its own capacity model. Creating a custom topic in Event Grid is internally partitioned to allow more parallel processing. Still, there are hard limits per topic. For example: ...