New IBM mainframe increases capacity by 35 percent for Met Office
Computacenter is working with IBM to upgrade the Met Office’s mainframe, enabling the national weather service to process greater volumes of weather data in a shorter timeframe.
“Every day, our weather and climate forecasts help people make better decisions. We help organisations save lives, reduce costs, meet schedules and encourage growth,” said Richard Bevan, head of IT infrastructure and operations at the Met Office. “We want to transform weather intelligence into a tool that drives greater business performance in today’s digital world and the mainframe is at the heart of that.”
“Any issues with performance can have a direct impact on the availability of the services we provide,” added Martyn Hunt, technical lead for the Met Office’s mainframe team. “Without accurate and timely weather information, everything from commercial flight schedules to emergency rescue operations can be disrupted.”
The new environment, which includes two mainframes with a total of 44 cores and 200 terabytes of attached storage will be able to perform more than 23,000 trillion calculations per second. The platform is based on two IBM z13 LinuxOne mainframes and IBM hybrid storage systems, and will eventually include IBM Wave for virtual server management.
The Met Office says it plans to migrate several additional applications, open source databases and workloads to the new environment, including its file transfer hubs, which are currently hosted on disparate server clusters.
The new mainframe will help power a range of public forecasting services, commercial products and mobile apps at a time of increased demand for weather intelligence. With more than 35 percent additional mainframe capacity, as well as increasing operational agility and efficiency, the upgrade has also reduced total cost of ownership.
Last week Computacenter announced it had bolstered its ServiceNow capabilities with the acquisition of service management company and ServiceNow Gold Services Partner, TeamUltra.