Elaine Hinson: Cloud operating models represent a step up from the traditional and sometimes time-consuming “request resources from IT” process, explains Craig Senese, Director of Analytics and Application Development at Ecolab. Developers will need some time to get comfortable with new tools as they spin up their own compute and storage environments.

Monday, June 5, 2017

Cloud operating models represent a step up from the traditional and sometimes time-consuming “request resources from IT” process, explains Craig Senese, Director of Analytics and Application Development at Ecolab. Developers will need some time to get comfortable with new tools as they spin up their own compute and storage environments.

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<p>Cloud operating models represent a step up from the traditional and sometimes time-consuming “request resources from IT” process, explains Craig Senese, Director of Analytics and Application Development at Ecolab. Developers will need some time to get comfortable with new tools as they spin up their own compute and storage environments.</p>

Ecolab manages a globally distributed workforce of analysts and developers, who in turn use advanced analytics to parse millions of data points from a vast network of water and environmental sensors. The Ecolab team uses Microsoft Azure IoT Hub, cloud storage, and Azure Portal to keep workgroups connected and deliver real-time insight to customers. Here are five key lessons that Ecolab's IT team has learned from its experience.

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Elaine Hinson

Monday, June 5, 2017

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