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®. Storing tens of PBs of data and serving tens of millions of requests/second, it is one of the largest database engines at Uber used by microservices from all business verticals. Since its inception in 2020, Docstore users and...

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Hasnain says:

“We’ve addressed one of the core challenges in scaling the read workload on Docstore via CacheFront. It not only made it possible to onboard large-scale use cases that demand high throughput and low-latency reads, but also helped us reduce load on the storage engine and save resources, improving the overall cost of storage and allowing developers to focus on building products instead of managing infrastructure.”

Posted on 2024-02-19T04:25:59+0000