How LinkedIn Uses Ruby

The article discusses the implementation of keyword search functionality in LinkedIn Talent Insights (LTI) using Apache Pinot.

The article discusses JARVIS, a search system developed by LinkedIn to enhance the navigation of its source code.

The article 'Speaking the Same Language' discusses the evolution of LinkedIn's design language and pattern library, focusing on the collaboration between designers and engineers.

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 and solutions related to effective code reviews and file ownership at SlideShare, emphasizing the importance of identifying code ownership to maintain code qual...

The article discusses the complex migration of SlideShare's technology stack to LinkedIn's data centers, highlighting the challenges faced and the strategies employed to ensure a seamless transitio...

The article discusses the open-sourcing of the LinkedIn Gradle Plugin and the Hadoop DSL for Apache Hadoop, aimed at enhancing the development, testing, and deployment of Hadoop applications.

The article outlines the evolution of LinkedIn's architecture and scaling strategies from its inception in 2003 to its modern service-oriented architecture.

The article discusses the development experience of the SlideShare iOS app using Swift, highlighting the advantages of Swift's syntax, safety features, and interoperability with Objective-C.

The article discusses SlideShare's initial experience developing their first iOS app using Swift, detailing the challenges and successes encountered during the process.

The article discusses LinkedIn's significant milestone with Rest. li, a framework for developing RESTful services, highlighting that 50% of all remote calls between services now utilize Rest. li.

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

The article discusses the implementation of Hadoop and HBase for near real-time analytics at SlideShare, detailing the upgrade process, technology selection, and the resulting improvements in data ...

The article discusses the upcoming presentation by Greg Wester on 'Selenium at Salesforce Scale' at LinkedIn, highlighting the significance of Selenium in testing and automation.

The article discusses the development of LinkedIn Intro, a product that integrates LinkedIn profiles into the iPhone mail client, overcoming significant technical challenges.

The article discusses geographic trends in skills as revealed by LinkedIn's Endorsement feature, highlighting differences in skill sets among technology hubs in the United States.

The article discusses Fluentd, an open-source log management tool utilized by Slideshare for efficient log handling.

The article outlines LinkedIn's testing methodology, emphasizing the importance of quality control in product development.

The article discusses the Play Framework's approach to asynchronous I/O, emphasizing its ability to avoid traditional thread pool management issues and callback hell.

The article discusses the intersection of mathematics and computer science for Ruby developers, emphasizing the importance of theoretical knowledge in practical programming.

The article provides an in-depth look at the architecture of a LinkedIn application, detailing the use of JRuby, Sinatra, Frontier, and Voldemort in its development.

The article discusses the comprehensive testing lifecycle at LinkedIn, emphasizing the importance of quality assurance in product releases.

The article discusses Testing Frontier, LinkedIn's in-house web framework, detailing its architecture, testing methodologies, and the development of Fronttest, a custom test suite.

The article announces the release of Voldemort v0.

This article discusses the development of a LinkedIn application within an OpenSocial container, detailing the architecture, technologies used, and the author's experiences during their internship.

The article discusses CoffeeScript, a programming language that compiles into JavaScript, emphasizing its readability and syntactic features derived from Ruby, Groovy, and Python.

The article discusses the upcoming JRuby Meetup at LinkedIn, featuring Nick Sieger, a core committer of JRuby and creator of JRuby-Rack.