MET Office National Weather Service
“With DDN, it was clear we could meet our performance requirements well within the projected budget,” says Alan Mackay, IT infrastructure manager at the Met Office. He adds, “DDN’s storage has exceeded our benchmark expectations. We have the confidence we’ll be able to continue scaling the archive to get us to wherever we need to be.”
The Met Office, the United Kingdom’s National Weather Service, operates the National Severe Weather Warning Service; plays a central role in the Flood Forecasting Center for England and Wales; and is a world leader in climate-change research. At the Met Office’s Hadley Center, more than 650 scientists conduct cutting-edge research to shape global climate-change policies while assessing the effects that changing climate might have on energy, health, flooding, farming, water, and food security worldwide.
Currently, the Met Office generates about 80TB of archive data per day, but this amount is expected to rise to 200TB by 2017; by 2020, the storage archive is expected to reach about 300PB. Not only did the Met’s storage need to scale to multiple petabytes, but also to a high-density platform that saves both power and space.
Read their success story to learn how the Met Office deployed a robust DDN solution that efficiently and cost-effectively increased their scalable disk storage and expanded compute capacity so scientists and researchers could store data for later analysis.
- Scientists required expedited access to ever-increasing amounts of weather and climate research archived on disk for 30 days before being moved to long-term tape storage
- Higher resolution models caused a continuous spike in archive data, necessitating highly scalable disk cache
- Hundreds of concurrent users needed fast and efficient access to post HPC model data to support scientific research and analysis
- Simple, fast access to 8PB of archive data ensures rapid scaling of the disk cache to keep pace with research needs
- Widespread adoption of integrated compute, storage, and networking platform accelerates post-processing data analysis
- Performance-optimized storage can accommodate continual compute improvements and higher-resolution models
- Scientific researchers are able to expedite all aspects of post processing in ways that weren’t previously possible to support ground-breaking research
- DDN storage exceeded performance benchmarks, representing a step-change over previous storage
- Ability to support both scale-up and scale-out expansion accommodates an exponential spike in storage
- High availability and reliability ensures access to crucial weather and climate data without interruption