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.
Table of contents
Cut your QA cycles down from hours to minutes with automated testing (Sponsored)LinkedIn’s Kafka EcosystemLatest articlesLinkedIn’s Kafka Release BranchesKafka Development Workflow at LinkedInPatch Examples from LinkedInConclusionSPONSOR US1 Comment
Sort: