During all my years as a Solution Architect, I have built many streaming architectures, such as real-time data ETL, reactive microservices, log collection, and even AI-driven services, all using Kafka as a core part of their architecture. Kafka is a proven stream-processing platform used for many years at companies like LinkedIn, Microsoft, and Netflix. In many cases Kafka works very well, supports large amounts of data, and has a good community. Because of that, Kafka is used for many streaming scenarios.

However, due to the design of Kafka, all of my projects using Kafka have been suffering similar problems:


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