LinkedIn Engineering

Overview

LinkedIn runs the world's largest professional graph at over a billion members, and many of the open-source pillars of modern data infrastructure — Kafka, Voldemort, Pinot, Samza — were born here. The blog goes deepest on three fronts: graph recommendations against a billion-vertex member graph (the People You May Know candidate-generation pipeline), big-data infrastructure run at extreme scale including a 10,000-plus-node Hadoop YARN cluster and the OpenHouse table service, and embeddings-driven matching that powers job-seeker recommendations and feed ranking. For interviews, 'Candidate Generation in a Large Scale Graph Recommendation System' is the article to read before any social-graph design question, and 'Scaling LinkedIn's Hadoop YARN cluster beyond 10,000 nodes' is a great primer on multi-tenant resource scheduling.

Interview questions

• What topics does LinkedIn engineering blog cover?
• What can I learn about recommendations from LinkedIn?
• Which LinkedIn posts are most useful for data infrastructure interviews?

More Engineering Blogs topics

• Figma Engineering
• Flipkart Engineering
• GitHub Engineering
• Google Research
• Instacart Engineering
• Instagram Engineering
• Lyft Engineering
• Meta Engineering
• Netflix Tech Blog
• Notion Engineering
• PayPal Engineering
• Pinterest Engineering