The Weather Channel initially planned to build its own management services for the new cloud infrastructure. With its native scale-out capabilities, MongoDB can support thousands of nodes, petabytes of data and hundreds of thousands of ops per second. As the user base scales, so will MongoDB. The apps typically handle two million requests per minute, including weather data and social sign-ins. With MongoDB, The Weather Channel doesn’t have to worry about app performance during unpredictable peak times. So is the online traffic for weather apps. With MongoDB, The Weather Channel can quickly distribute those weather alerts to subscribers in affected geographic locations in real-time.Īccording to Kolin, MongoDB’s secondary indexes and fast ad hoc querying make it the only product that can reliably perform that kind of lookup on such a large user base in mere seconds. If the National Weather Service (NWS) issues a storm warning for Cook County, Illinois, for example, The Weather Channel has to notify those 125,000 local subscribers as fast as possible. It’s a competitive differentiator for the brand, and a must-have feature for many users. Severe weather alerts, faster than the stormįive million users rely on The Weather Channel for the severe weather alert feature. Whatever users clamor for, The Weather Channel is ready to deliver. They can view incredibly fast radar maps and receive severe weather alerts in real-time. With a fleet of apps built on MongoDB, users can personalize their experiences across mobile devices, tablets and the website. And now that they’ve modernized on a cloud infrastructure, they are transitioning news, lifestyle and some weather content from their digital properties to MongoDB. They’ve replaced high costs and complexity with simplified scale and speed. Changes that used to take weeks can now be pushed out in hours. The Weather Channel turned to MongoDB to get killer features out to users quickly.
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