A research team is using Azure to track groundwater levels in impoverished communities by tracking the data from hand-pumped wells in the region to monitor aquifer health and devise ways to deliver improved well performance across the area. To handle data transmitted by multiple nodes, cloud-based computing is essential. The ease of porting existing frameworks as well as the Machine Learning capabilities of Azure have reduced the time needed to repair a well from 30 days to less than three.