Uber
Chronosphere: Scalable Metrics Database with Rob Skillington
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M3 is a scalable metrics database originally built to host Uber’s rapidly growing data storage from Prometheus. When Rob Skillington was at Uber, he helped design, implement, and
Uber’s Data Visualization Tools with Ib Green
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Uber needs to visualize data on a range of different surfaces. A smartphone user sees cars moving around on a map as they wait for their ride to arrive. Data scientists and operations
Tecton: Machine Learning Platform from Uber with Kevin Stumpf
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Machine learning workflows have had a problem for a long time: taking a model from the prototyping step and putting it into production is not an easy task. A data scientist who is
Components of Modern Data Pipelines
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Figure 1 Data flows to and from systems through data pipelines. The motivations for data pipelines include the decoupling of systems, avoidance of performance hits where the data is
Cadence: Uber’s Workflow Engine with Maxim Fateev
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A workflow is an application that involves more than just a simple request/response communication. For example, consider a session of a user taking a ride in an Uber. The user initiates