Weatherdesk1/30/2024 ![]() “The key AWS capabilities we wanted to leverage for our numerical weather prediction application included automatic environment builds and shutdowns, elastic compute resources, the necessary networking bandwidth to crunch the numbers quickly, and the ability to do so with the velocity required by our business and customer goals.” ![]() “We knew HPC on AWS could provide an environment that balances performance, cost, and manageability,” Hartman says. So Maxar turned to Amazon Web Services (AWS). “But we realized we needed a cloud environment to build a cost-effective solution that our DevOps team could easily manage and which would allow us to significantly reduce our timeline to get the results to market.” “We first considered an effort that would involve building the system in an on-premises data center,” says Travis Hartman, director of analytics and weather at Maxar. Its data scientists, engineers, and DevOps team decided to build a high performance computing (HPC) solution to deliver forecasts in half the time of the NOAA supercomputer. To resolve this issue, Maxar sought to significantly reduce the time needed to generate numerical weather predictions. Similar to how NASA has expanded its partnerships with private firms to acquire commercial space hardware and services, the processing and delivery of critical weather data products could also be effectively commercialized. Over time, many companies began to realize they would require much faster weather warnings to protect their interests. However, the weather predictions take an average of 100 minutes to process global data. ![]() Historically, many industries have relied on reports generated by the on-premises supercomputer operated by the National Oceanic and Atmospheric Administration (NOAA). That’s the challenge Maxar Technologies set out to solve. To limit damage, these companies need the earliest possible notice before a major storm strikes. And for firms that trade commodity shares in oil, precious metals, crops, and livestock, the weather can significantly impact their buy-sell decisions. When weather threatens drilling rigs, refineries, and other energy facilities, oil and gas companies want to move fast to protect personnel and equipment.
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