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How LinkedIn Serves Over 4.8 Million Member Profiles per Second
InfoQ - AI, ML & Data Engineering www.infoq.com
LinkedIn introduced Couchbase as a centralized caching tier for scaling member profile reads to handle increasing traffic that has outgrown their existing database cluster. The new solution achieved over 99% hit rate, helped reduce tail latencies by more than 60% and costs by 10% annually.
By Rafal Gancarzai architecture & design big data caching cluster costs couchbase database development linkedin ml & data engineering mysql nosql per performance & scalability profile profiles rate reduce resilience scaling solution traffic