AWS retires Snowmobile data in a lorry scheme

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Amazon Web Services (AWS) has announced the retirement of its Snowmobile data transfer service, known for its innovative use of lorries to physically transfer massive amounts of data to the cloud. The decision to sunset Snowmobile comes as AWS shifts its focus towards more efficient and scalable data transfer solutions that better meet the evolving needs of customers in the digital age.

Snowmobile was introduced by AWS as a groundbreaking solution for organizations with extremely large data sets that required rapid and secure migration to the cloud. The service involved the use of ruggedized shipping containers, affectionately referred to as “Snowmobiles,” which were transported to customer locations to facilitate the transfer of petabytes of data to AWS data centers.

While Snowmobile garnered attention for its novelty and ingenuity, AWS has recognized the need for more streamlined and agile data transfer methods that leverage advancements in cloud technology and network infrastructure. As a result, the decision was made to retire Snowmobile in favor of more modern solutions that offer greater speed, flexibility, and cost-effectiveness.

AWS customers who previously relied on Snowmobile for large-scale data migrations will now have access to alternative data transfer services offered by AWS, such as Snowball and Snowmobile Edge. These services provide faster and more efficient ways to transfer data to and from the cloud, leveraging high-speed networks and optimized transfer protocols to minimize downtime and accelerate the migration process.

The retirement of Snowmobile reflects AWS’s ongoing commitment to innovation and customer-centricity, as the company continues to evolve its offerings to meet the changing needs of its diverse customer base. By sunsetting Snowmobile and investing in next-generation data transfer solutions, AWS aims to empower organizations to embrace the cloud with confidence and unlock new possibilities for digital transformation and growth.

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