How LinkedIn Uses Microservices

LinkedIn has integrated Google Protocol Buffers (Protobuf) with Rest. li to enhance microservices performance, achieving significant reductions in latency and improvements in resource utilization.

The article discusses LinkedIn's open sourcing of DataHub, a metadata search and discovery platform, detailing its development journey from WhereHows to DataHub.

The article discusses LinkedIn's approach to authorization within its extensive microservice architecture, emphasizing the importance of maintaining data security and trust.

The article discusses the rebuilding of LinkedIn's Profile Highlights System, focusing on the transition from a monolithic architecture to a microservices-based plug-in architecture.

The article discusses the REACH program at LinkedIn, aimed at integrating software engineers from non-traditional backgrounds into the tech workforce.

This article features a Q&A with Jim Brikman discussing the challenges and strategies for splitting a codebase into microservices and artifacts.

The article discusses the challenges of optimizing Java's Concurrent Mark-Sweep (CMS) garbage collection and introduces JTune as a solution for improving JVM performance.