Over the last year, we have been using real-time feedback to evolve our tooling and provide a more productive experience for LinkedIn's developers. It’s helped us double our feedback participation, and more importantly, better tailor our recommendations and improvements. For any engineering organization looking to improve developer experiences, the following...
tools Articles
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- Topics:
- Developer Productivity,
- tools
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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: Krishnan Raman and Joey Salacup Editor's note: This blog has been updated. Monitoring big data pipelines often equates to waiting for a long-running batch job to complete and observing the status of the execution. The status can result in “Failed” or “Successful” or even “Incomplete.” From there, it’s the team’s job to understand the impact and...
- Topics:
- infrastructure,
- Gobblin,
- tools,
- Kafka,
- Data
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Co-authors: Yu Li, Szymon Gizecki, and Chinmaya Dattathri To ensure we have significant flexibility in how our teams collaborate, our...
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The notion of software craftsmanship is sometimes a muddy one. On the one hand, engineers find it hard to grasp and materialize...
- Topics:
- tools,
- Craftsmanship,
- Developer Experience
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At LinkedIn, when our engineers create software, there is often a need to leverage some of the great work done by the open source...
- Topics:
- Developer Productivity,
- Developer Experience,
- tools,
- Code