Co-authors: Jefferson Lai, Vinyas Maddi, and Vijay Ramamurthy One of our core engineering principles here at LinkedIn is to create leverage. In practice, what this means is to build software that is easy to reuse by other teams. An effective way we are able to do this is to favor platforms that generalize long-term functionality rather than build inflexible,...
infrastructure Articles
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- Topics:
- scale,
- infrastructure,
- Product Design
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Co-authors: Suruchi Shah and Hari Shankar The rise of instant messaging has changed how we communicate. Compared to the back-and-forth of email, we send and receive messages at much higher volumes and speeds. In the instant conversations we have, we also expect to be able to search for important phrases, moments, or references with ease. This rapid increase in...
- Topics:
- Performance,
- infrastructure,
- Architecture,
- Search
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As a step to help reduce the spread of COVID-19, many companies are now encouraging employees to work remotely. Supporting a workforce that’s fully remote, at least at this scale, is new to many businesses, LinkedIn being no exception. In the last couple of weeks, our 16,000+ employees have transitioned from being a mostly centralized workforce in a set of...
- Topics:
- infrastructure
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Co-authors: Kerem Sahin, Mars Lan, and Shirshanka Das Finding the right data quickly is critical for any company that relies on big...
- Topics:
- Metadata,
- infrastructure,
- Data,
- Open Source
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LinkedIn delivers value to more than 660 million members via thousands of microservices, most of which depend on data infrastructure...
- Topics:
- infrastructure,
- Data
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Co-authors: Krishnan Raman and Joey Salacup Monitoring big data pipelines often equates to waiting for a long-running batch job to...
- Topics:
- infrastructure,
- Gobblin,
- tools,
- Kafka,
- Data