Monitor, profile, optimize, and ramp. This is the cycle of performance operations that we rely on to improve our Android app. Part 1 of this blog series covered monitoring and profiling — monitoring gives us the “true north” of optimizations to make data-driven decisions, while profiling helps us pinpoint the areas of opportunity. In part 2, we will look at...
RUM Articles
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- Topics:
- Performance,
- Mobile,
- Android,
- RUM,
- site speed
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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...
- Topics:
- A/B Testing,
- RUM,
- site speed,
- T-REX,
- experimentation,
- 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...
- Topics:
- Performance,
- RUM,
- site speed,
- Network Performance