How LinkedIn Uses gRPC
8 engineering articles about gRPC from LinkedIn's engineering team
Other LinkedIn Technologies
Other Companies Using gRPC
Articles
Filter:
Rahul Godha
15 min read
Includes Code
--
The article discusses how LinkedIn developed the Contextual Agent Playbooks & Tools (CAPT) to enhance AI coding agents with organizational context, enabling them to better assist engineers in their...
The article discusses how LinkedIn enhanced its recommendation systems using SGLang, an open-source LLM serving framework.
Steven Shimizu
10 min read
Includes Code
Has Summary
--
The article discusses LinkedIn's implementation of a Stateful Workload Operator for managing stateful systems on Kubernetes.
Michael Youssef
14 min read
Has Summary
--
The article discusses LinkedIn's innovative use of Apache Beam for real-time streaming processing, handling over 4 trillion events daily across more than 3,000 pipelines.
Bingfeng Xia
16 min read
Has Summary
--
The article discusses LinkedIn's transition to a GraphQL architecture for product development, highlighting the challenges faced with their existing microservices and the reasons for adopting Graph...
LinkedIn has integrated Google Protocol Buffers (Protobuf) with Rest. li to enhance microservices performance, achieving significant reductions in latency and improvements in resource utilization.
Karthik Ramgopal
7 min read
Has Summary
--
The article discusses the implementation of multi-task learning for homepage feed ranking at LinkedIn using TensorFlow.
Ian Ackerman
14 min read
Has Summary
--
You've reached the end! All 8 articles loaded.