Source:-techbeacon.com At Descartes Labs we have built a data refinery to collect, process, and analyze sensor data to quantify changes in the Earth. Our platform runs on Kubernetes in Google Cloud, powering global-scale machine learning across more than 10 petabytes of geospatial data. At any given time we may have tens of thousands of CPUs extracting meaning from complex geospatial datasets, with models generating insights within minutes of satellites passing overhead (such as this one, for wildfire detection). Supporting a rapidly evolving API