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How LinkedIn Uses XML

10 engineering articles about XML from LinkedIn's engineering team

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LinkedIn
Intermediate
This article discusses the engineering of LinkedIn's job ingestion system, which processes millions of job postings daily from various sources.
Anvesh Uppoora
15 min read
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LinkedIn
Advanced
The article discusses LinkedIn's transformation of its job search functionality through AI and large language models (LLMs).
Caleb Johnson
13 min read
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LinkedIn
Advanced
The article discusses the introduction of Pegasus Data Language (PDL), a new schema definition language designed to replace the existing Pegasus Data Schema (PDSC) for data modeling in Rest.
Yingjie (Nicki) B.
6 min read
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LinkedIn
Intermediate
The article discusses the implementation of dark canary clusters at LinkedIn, a technique for safely testing new code in production environments without impacting end users.
David Hoa
10 min read
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LinkedIn
Advanced
This article discusses performance optimization strategies for Android apps, focusing on specific techniques that can significantly reduce app startup and page load times.
LinkedIn Engineering Team
9 min read
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LinkedIn
Beginner
This article discusses the creation of a flexible Android widget that adapts to various screen sizes and user interactions.
Caleb Gomer
7 min read
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LinkedIn
Advanced
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.
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LinkedIn
Advanced
The article discusses the Play Framework, an open-source web application framework that promotes functional programming principles to address modern web development challenges.
Sadek Drobi
15 min read
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LinkedIn
Intermediate
Cleo is an open-source technology developed by LinkedIn for rapid development of typeahead and autocomplete services.
Jingwei Wu
5 min read
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LinkedIn
Beginner
The article discusses the Veterans Hackday, an event aimed at creating projects that benefit veterans.
Yevgeniy Brikman
5 min read
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