How LinkedIn Uses YAML

The article discusses LinkedIn's implementation of a Stateful Workload Operator for managing stateful systems on Kubernetes.

The article discusses the development of a new AI-powered experience at LinkedIn, focusing on the challenges and successes encountered while building a generative AI product.

The article discusses the development of Hoptimator, a declarative data pipeline orchestrator designed to streamline the creation of end-to-end data pipelines at LinkedIn.

The article discusses LinkedIn's transition from monolithic repositories to GitHub, focusing on enhancing developer satisfaction through improved tools and workflows.

The article discusses the challenges of data integration at scale within LinkedIn's big data ecosystem and presents Gobblin's Data Integration Library (DIL) as a solution to streamline and standard...

This article provides an in-depth look at LinkedIn's data pipeline monitoring system, focusing on the challenges faced with traditional monitoring methods and how they have evolved to improve visib...

The article discusses the implementation of Smart Alerts in ThirdEye, LinkedIn's real-time monitoring platform, focusing on the challenges of setting up effective alerts for diverse metrics.

The article discusses how LinkedIn operates Apache Samza at scale, focusing on its integration with Apache Kafka for processing high volumes of data.

The article discusses the use of Apache Helix for ad-hoc task management in distributed systems, highlighting its capabilities for automating task reassignment and managing the lifecycle of tasks t...

The Skynet Project is a comprehensive set of tools designed to monitor, scale, and auto-heal cloud systems.

The article provides an overview of LinkedIn's global site operations, highlighting the technology and tools that enable remote collaboration among Site Reliability Engineers (SREs) across various ...