How LinkedIn Uses Scala
34 engineering articles about Scala from LinkedIn's engineering team
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The article discusses the optimization of LinkedIn Sales Navigator’s search pipeline using Apache Spark, highlighting the transition from MapReduce to Spark and the resulting performance improvemen...
The article explores Javier's transition from a music career to data science, highlighting the intersection of math and music in his journey.
LinkedIn Engineering Team
5 min read
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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
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The article discusses Vasundhara's journey as an AI engineer at LinkedIn, highlighting her transition from Seoul to Dublin during the pandemic and her work on machine learning algorithms for Linked...
LinkedIn Engineering Team
6 min read
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The article shares the career journey of Deepti, a biomedical engineer turned data scientist at LinkedIn, highlighting her transitions between industries and roles.
The article discusses DARWIN, LinkedIn's unified Data Science and Artificial Intelligence Workbench, designed to streamline the workflows of data scientists and AI engineers by centralizing various...
Varun S.
20 min read
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This article discusses the evolution of LinkedIn's Daily Executive Dashboard (DED) from a simple dashboard to a robust enterprise-grade data pipeline.
The article discusses the Smart Argument Suite, a Python library designed to streamline the process of passing command-line arguments for AI workflows.
LinkedIn Engineering Team
8 min read
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The article discusses the LinkedIn Fairness Toolkit (LiFT), an open-source library designed to address bias in AI applications at scale.
Sriram Vasudevan
11 min read
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The article discusses advanced schema management techniques for Apache Spark applications at LinkedIn, focusing on the integration of Avro schemas with the Hive Metastore to enhance type safety and...
The article discusses the implementation of the Isolation Forest algorithm by LinkedIn's Anti-Abuse AI Team to detect and prevent various types of abuse on the platform.
James Verbus
8 min read
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The article announces the release of Samza 1. 0, a distributed stream processing framework developed at LinkedIn, highlighting its significant features and improvements.
Jagadish Venkatraman
10 min read
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The article provides an introduction to the role of artificial intelligence (AI) at LinkedIn, detailing how it is integrated into various products and services to enhance user experience and operat...
Deepak Agarwal
13 min read
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The article discusses LinkedIn's significant improvement in build times by migrating from SBT to Gradle, achieving a 400% increase in productivity.
The article discusses LinkedIn's commitment to the open source community, particularly in the context of International Women's Day.
The article discusses JARVIS, a search system developed by LinkedIn to enhance the navigation of its source code.
The article discusses how LinkedIn scaled its Instant Messaging service to handle hundreds of thousands of persistent connections on a single machine.
The article discusses the development of LinkedIn's new Job Detail Page, focusing on the technologies and strategies employed to enhance user experience and site performance.
Jiuling Wang
9 min read
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The article discusses Rain, a containerization system developed by LinkedIn to enhance resource allocation and improve application deployment efficiency.
Manish Dubey
9 min read
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The article recounts Veronica Ray's experience speaking at the Swift Summit, highlighting her journey into public speaking and iOS development.
The article introduces Karan Parikh, a Senior Software Engineer at LinkedIn, highlighting his background, interests, and contributions to the engineering team.
The article discusses the integration of Play Framework with Gradle as a build system, highlighting LinkedIn's experiences and evaluations of Gradle's capabilities for building Play applications.
LinkedIn Engineering Team
10 min read
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The article discusses the new technologies and methodologies implemented for the redesigned LinkedIn home page, focusing on improving performance, user experience, and development efficiency.
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 article discusses the significance of the log as a fundamental abstraction in real-time data systems, emphasizing its role in distributed systems, data integration, and stream processing.
Jay Kreps
63 min read
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The article discusses the Play Framework, an open-source web application framework that promotes functional programming principles to address modern web development challenges.
The article discusses the implementation of a greedy set cover algorithm to optimize query latency in a large-scale distributed graph system at LinkedIn.
The article discusses the development of the EatIn Suite, an internal food-rating platform at LinkedIn, built by a team of interns within three weeks.
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 implementation of the Play Framework at LinkedIn, highlighting its benefits, developer experience, and future plans.
The article discusses the upcoming Scala BASE meetup at LinkedIn on November 14, featuring presentations on Spark and declarative UI frameworks.
The article invites attendees to a talk at LinkedIn about Kafka, an open-source, distributed pub-sub messaging system designed for high-throughput and low-latency log aggregation and activity strea...
The article discusses the upcoming Scala BASE meetup at LinkedIn on July 11, featuring presentations by Dick Wall and Vlad Patryshev.
The article explores the Play framework, a high-productivity Java web framework, with a focus on its support for asynchronous programming.
Yevgeniy Brikman
6 min read
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