The product ecosystem at LinkedIn is vast, and managing its infrastructure can be daunting. Nearly 10 years ago, we transitioned away from a single monolithic codebase toward a microservice architecture, allowing teams to manage their own repositories. Today, we have thousands of developers working on more than ten thousand active repositories, some of which...
Developer Productivity Articles
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- Topics:
- Developer Productivity
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The needs of our members and customers have evolved rapidly in recent weeks, and we’ve been focused on evolving alongside them to meet their needs to the best of our ability. Recently, we introduced the ability for healthcare and essential organizations that have urgent hiring needs to post jobs for free on LinkedIn, and unlocked free learning paths on LinkedIn...
- Topics:
- Developer Productivity,
- Product Design
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Co-authors: Arun Swami, Sriram Vasudevan, Sailesh Mittal, Jiefu Zheng, Joojay Huyn, Audrey Alpizar, Changling Huang, Maneesh Varshney, Adrian Fernandez Data’s value is best realized when prepared and treated correctly. However, when you’re working with data at an extensive scale, it’s not as easy to make sure that every data set has been cleaned and validated....
- Topics:
- scale,
- Developer Productivity,
- tools,
- Data
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Co-authors: Alexander Ivaniuk, Jingbang Liu At LinkedIn, we like to say that experimentation is in our blood because no production...
- Topics:
- Developer Productivity,
- A/B Testing,
- experimentation,
- T-REX,
- Data
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Editor's Note: This is the second in a series of posts describing how we improved productivity at scale—both in terms of lines of code...
- Topics:
- Developer Productivity,
- gradle
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When adopting a new language at scale, there are many different factors to consider because things can change dramatically. For many,...
- Topics:
- Developer Productivity,
- Android,
- Mobile