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...
infrastructure Articles
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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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Imagine a tool that can store and connect all the information you need to make decisions and solve problems. Most people would say it’s nice to think about, but not yet possible. The good news is this tool already exists - and it’s called a graph database. At LinkedIn, technologies like graph databases are essential to powering today's platform, while being...
- Topics:
- scale,
- infrastructure,
- knowledge graph,
- Data
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At LinkedIn, site engineers like to automate operational tasks at various infrastructure layers to minimize manual interventions,...
- Topics:
- SaltStack,
- infrastructure
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Co-authors: Shu Wang, Biao He, and Minchu Yang At LinkedIn, Apache Spark is our primary compute engine for offline data analytics such...
- Topics:
- Spark,
- infrastructure
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Co-authors: Michele Ursino and Joe Xue Introduction At LinkedIn, we believe that an opportunity can arise from just one conversation,...
- Topics:
- infrastructure,
- Architecture,
- Product Design