Editor’s note: This blog post is the first in a series providing an overview and history of LinkedIn’s experimentation platform. At any given time, LinkedIn’s experimentation platform is serving up to 41,000 A/B tests simultaneously on a user population of over 700 million members. Operation at such a scale is enabled with the LinkedIn Targeting, Ramping, and...
A/B Testing Articles
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- Topics:
- scale,
- A/B Testing,
- infrastructure,
- T-REX,
- experimentation
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Co-authors: Xiang Zhang, Estella Pham, and Ke Wu Identity services are critical systems that serve data on profile and member settings to help power many other applications at LinkedIn. In this blog post, we’ll share how we merged two layers of the identity services that handle more than half a million queries per second (QPS) that drove a 10% reduction in...
- Topics:
- A/B Testing,
- Architecture,
- experimentation,
- Performance,
- ESPRESSO,
- T-REX,
- Data
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Serving the most relevant information for LinkedIn members in the homepage feed requires a massive effort—hundreds of features are used to personalize content for hundreds of millions of members. For each homepage visit, our machine learning models have to find and surface the best activity across a member's whole network, and they have to source that content...
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Co-authors: Guillaume Saint-Jacques, Amir Sepehri, Nicole Li, and Igor Perisic Introduction Previously on this blog, we’ve shared...
- Topics:
- A/B Testing,
- data science,
- experimentation,
- research,
- Product Design,
- Data,
- machine learning,
- T-REX
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Co-authors: Alexander Ivaniuk, Jingbang Liu At LinkedIn, we like to say that experimentation is in our blood because no production...
- Topics:
- Developer Productivity,
- A/B Testing,
- experimentation,
- T-REX,
- Data
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“Make LinkedIn feel instantaneous” is a mantra our performance team lives by to deliver the best possible experience to our members....
- Topics:
- Performance,
- A/B Testing,
- experimentation,
- T-REX