I spent a decent amount of time learning the Apache Kafka concept, theory, and architecture. Observing Kafka from the perspective of the ski driver falling at 10,000 feet, it has a dead simple…

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LinkedIn uses Apache Kafka to manage and process up to 7 trillion messages daily. They achieve reliability and scalability through a multi-tiered Kafka deployment across multiple data centers, leveraging local and aggregate clusters. LinkedIn ensures message completeness with an internal auditing tool that tracks sent and consumed messages. They maintain a close relationship with the open-source Kafka community by regularly integrating features and patches from their internal branches into the upstream Kafka branch.

How Did LinkedIn Handle 7 Trillion Messages Daily With Apache Kafka?

Getting really curious to use Kafka.

Nice article! Can anyone tell me more about the <a href="https://samza.apache.org/" target="_blank" rel="noopener nofollow">Samza</a> stream process service mentioned in the article?
It seems quite interesting but i don’t really can get what’s the difference between this and API calls to a webservices or something like that. Maybe retry mechanism and similar?