LinkedIn has evolved dramatically from its inception in 2010, growing from 90 million users to over 1.2 billion. This explosion in scale has led to massive increases in data processing requirements, with the current volume reaching 32 trillion records per day. The operational complexity inherent in managing such a vast system has surpassed the capabilities of existing infrastructure tools like Apache Kafka, prompting the development of new solutions, Northguard and Xinfra. These systems are designed to effectively handle the advanced demands of contemporary data infrastructure and distributed systems.
LinkedIn, the creator of Apache Kafka, announced they had outgrown it due to significant user growth, now serving over 1.2 billion users and processing vast amounts of data.
The transition from 90 million to 1.2 billion users has introduced an exponential complexity challenge in managing distributed systems, necessitating new solutions beyond existing tools.
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