Disclaimer: The details in this post have been derived from the LinkedIn Engineering Blog.

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LinkedIn utilizes Apache Kafka to handle over 7 trillion messages daily, managing this massive scale with over 100 Kafka clusters and more than 4,000 servers. Its Kafka infrastructure includes custom features and enhancements for scalability and operability, tailored through specialized LinkedIn Kafka release branches. LinkedIn maintains unique patches and contributions to the open-source project, ensuring optimal performance and resource utilization for their specific needs, while also sharing improvements with the community.

How LinkedIn Customizes Its 7 Trillion Message Kafka Ecosystem

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<p>how many server would they need to use with Kafka alternatives such as Redpanda?</p>
