7 articles tagged with Linkedin.
How LinkedIn Uses Machine Learning to Moderate Content at Scale
LinkedIn is using ML to prioritize content smarter, not replace humans but helping reviewers act faster, scale better, and keep the platform safe without losing judgment or nuance.
How LinkedIn Rebuilt its Profile Highlights System
LinkedIn rebuilt Profile Highlights into a plug-in platform, enabling faster experiments, independent teams, better performance, and ~50% lower costs.
How LinkedIn Reduced Latency and Cost by Merging Two Critical Systems
LinkedIn merged identity midtier and data services, cutting network hops to reduce latency, memory use, and cost while keeping APIs unchanged.
How LinkedIn Made the “My Network” Tab Faster, Smoother, and More Flexible
LinkedIn sped up My Network by unifying APIs, adding pagination, and using a backend-driven render model, cutting latency and improving the overall UX.
How LinkedIn Cut Build Times from 30 Minutes to 10 Seconds
LinkedIn’s RDev lets engineers code in the cloud with pre-built containers, cutting setup from 30 mins to 10 secs while keeping CI consistent.
How LinkedIn Built a Faster, Safer, and Smarter HDFS Ecosystem
LinkedIn scaled HDFS with HA, Observer nodes, encryption & Wormhole, boosting speed, reliability & secure data access for massive growth.
EP 56: How LinkedIn Scaled to 1 billion Users?
By shifting to microservices from monoliths, using tools like Hadoop, Kafka, Rest.li, LinkedIn scaled to a billion of users globally.