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By Sean Dague | Published July 31, 2018
The NY-power project uses a set of microservices to consume open data about the performance of the NY State power grid, and computes an approximate level of carbon intensity. This computed data is served in a real-time MQTT stream, making it easy to consume in other applications. It also shows how to manage a set of data processing in Kubernetes with Helm.
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