Authors: Dr. Patrick Driscoll and Akash Kaura LinkedIn’s vision is to create economic opportunity for every member of the global workforce. Since its inception in 2015, the Economic Graph Research and Insights (EGRI) team has worked to make this vision a reality by generating labor market insights such as: Real-time economic and workforce intelligence & insights...
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Guaranteeing that our servers are continually upgraded to secure and vetted operating systems is one major step that we take to ensure our members and customers can access LinkedIn to look for new roles, access new learning programs, or exchange knowledge with other professionals. LinkedIn has quite a large fleet of servers on-premise that depend on internal...
- Topics:
- infrastructure,
- operations,
- SRE
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Co-Authors: Estella Pham and Guanlin Lu At peak, LinkedIn serves over 1.4 million member profiles per second. The number of requests to our storage infrastructure doubles every year. In the past, we addressed latency, throughput and cost issues by migrating off Oracle onto Espresso, an open-source document platform, and adding more nodes. We are now at the point...
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Imagine a tool that can store and connect all the information you need to make decisions and solve problems. Most people would say it’...
- Topics:
- scale,
- infrastructure,
- knowledge graph,
- Data
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With the widespread adoption of Rest.li since its inception in 2013, LinkedIn has built thousands of microservices to enable the...
- Topics:
- rest.li,
- Data,
- Open Source
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On the LinkedIn platform, members from around the world share their knowledge, perspectives, and discuss topics important to them. Our...
- Topics:
- Trust & Safety,
- content