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How Uber Serves Over 40 Million Reads Per Second from Online Storage Using an Integrated Cache

Docstore is Uber's in-house distributed database built on top of MySQL® with tens of PBs of data and serving millions of requests/second, allowing high performance for microservices. To address challenges like low latency, high scalability, and cost, Uber developed CacheFront as an integrated caching solution for Docstore, increasing performance, reducing costs, and improving developer productivity.


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The FAUN

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The FAUN watches over the forest of developers. It roams between Kubernetes clusters, code caves, AI trails, and cloud canopies, gathering the signals that matter and clearing out the noise.
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