LinkedIn, like many web companies, uses PoPs (point of presence) to terminate TCP connections closer to end-users. This improves the content download time. In this talk, we describe techniques used by LinkedIn to better utilize PoPs through new RUM measurements and in-depth data analysis.
This talk will cover the following topics:
Attendees of this talk will learn how to utilize their (potentially millions of) end-user visits to do performance measurements, distributed across the globe, with results that are more accurate and realistic than synthetic measurements. Attendees will also be able to directly apply this knowledge to instrument RUM on their site, and use that data to make better optimization decisions.
In the end, we would like to encourage web companies to use RUM data from their users not only for performance monitoring but also to drive optimizations.
Ritesh is currently a performance engineer at LinkedIn, working on making LinkedIn fast through network optimizations, RUM, and automation. Before LinkedIn, Ritesh was a performance engineer at Akamai, solving performance issues in Akamai’s global distributed network. Ritesh holds a Ph.D. in computer science from Stony Brook University, where he got passionate about performance while working on computer networks. Earlier, he finished his BTech in computer science and engineering from the Indian Institute of Technology, Kharagpur.
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