• Expert

Winter Olympics 2018 critical systems will all be in the cloud

Atos is on course to hit its target of having all core Olympic IT systems in the cloud by next year's Winter Olympics in South Korea.

The 2018 Winter Olympics and Paralympics in South Korea will be the first to see all critical systems in the cloud and managed remotely.

In 2014, the event organiser’s lead systems integrator Atos said systems underpinning Olympic Games events would be run entirely from the cloud by the 2018 event in PyeongChang, South Korea, and it has confirmed this is set to be achieved.

Traditionally, Atos would build new systems for each Olympic event, but it wanted to be able to build systems once and then deliver them from the cloud.

The cloud was used to run core Olympic Games systems for the first time at the Rio 2016 summer event. In Rio, systems such as accreditation, workforce management and the volunteer portal were run on a cloud platform developed by Atos, working with Embratel, Cisco and EMC.

Over 100,000 hours of testing is being done to ensure 12 venues for PyeongChang 2018 are cloud enabled. Through the cloud, results from events can be delivered to the media in 0.3 of a second.

The testing is, for the first time, being carried out remotely from the Atos Integration Testing Lab (ITL) in Madrid, and the Central Technology Operations Centre (CTOC) in Barcelona will support the local Technology Operations Centre.

“We are dedicated to making the 2018 Winter Games the most digital games ever,” said Hee-beom Lee, president of the PyeongChang 2018 Organising Committee.

Atos has been the worldwide IT partner for the Olympic Games since Salt Lake City in 2002.

Separately, the International Olympic Committee (IOC) has embarked on a multi-year cloud services partnership with Chinese service provider Alibaba that is set to run until 2028. It will be responsible for providing the IOC with access to cloud infrastructure and services to help the Olympic Games run more efficiently and assist its organisers with addressing their big data requirements.




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