Co-authors: Jiahui Qi and David He Everyday, LinkedIn serves hundreds of millions of pageviews to our members, from job searches to the news feed. Our network has grown to over 500 million members, and throughout our journey, “members-first” has been a fundamental value that we’ve carried. For our mission to continue improving the member experience, LinkedIn’s...
RUM Articles
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- Topics:
- A/B Testing,
- RUM,
- site speed,
- performance analysis
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As a global company with web traffic from all over the world, optimizing web performance for different geographic locations is important for LinkedIn’s member engagement and experience. We capture Real User Monitoring (RUM) data from most of our web pages and mobile applications. A good visualization tool on top of the RUM data is essential for us to quickly...
- Topics:
- Performance,
- Visualization,
- RUM,
- site speed,
- bounce rate
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LinkedIn serves its dynamic content (e.g. HTML and JSON) from its data centers, while utilizing CDNs for serving the static assets such as CSS, JS, images etc. Like many other web companies, we have been using PoPs (Point of Presence) to improve the download time of the dynamic content. PoPs are small scale data centers with mostly network equipment and proxy...
- Topics:
- Performance,
- RUM,
- site speed,
- Network Performance