Co-authors: Grace Tang, Pavan K. Ganganahalli Marulappa, Montinee Khunvirojpanich, and Ting Chen LinkedIn is an active professional community where our members come to stay informed, build meaningful relationships, and find a job. In order for members to confidently engage in this community, they have to feel safe. This sense of safety is at risk when spam,...
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Co-authors: Gaurav Mishra, Song Lu, Antony Curtis, Shuangyang Yang Espresso is LinkedIn's horizontally scalable, highly-available, and elastic data-as-a-service platform that serves nearly 95% of our online storage traffic. Given its position in our tech stack, an optimization in Espresso availability can have a major impact on our members’ experience. In this...
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Co-authors: Sandhya Ramu and Vasanth Rajamani For companies and organizations, failure tends to be far more illuminating than success and the lingering effects of a failure can be harmful if the team moves too quickly and does not resolve the issue in a thorough and transparent manner. We recently ran into a large incident that involved data loss in our big data...
- Topics:
- Performance,
- Hadoop,
- data center,
- Data
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Co-authors: Konstantin Salomatin, Kirill Talanine, Barış Özmen, Gungor Polatkan, Linda Fayad, Arjun Kulothungun, and Deepak Kumar Our...
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Co-authors: Weiwei Guo, Xiaowei Liu, Sida Wang, Huiji Gao, and Bo Long Natural language processing (NLP) technologies are widely...
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Co-authors: Scott Meyer, Andrew Carter, and Andrew Rodriguez Editor’s note: In this two-part blog series, we introduce LIquid, a new...
- Topics:
- scale,
- infrastructure,
- knowledge graph,
- Data