Yes! Thanks to the incredible performance of KVM technology, OpenStack, and Ceph. Where a traditional VPS would rely on a half-dozen or more RAID drives locally (all SSD), it doesn't handle as many IOPS as the massively parallel handling of Ceph distributed storage. While 6 RAID SSD drives can be very, very fast, when it comes to larger numbers of accounts on a box - Ceph creates a gigantic pooled pipeline to assorted SSD's, perhaps hundreds, in order to make transfers at a blistering pace.
A cloud server is a shared section of a server. It’s allocated for your use (via a virtual environment) and controlled by the service or cloud provider. On your end, it appears that you are running your own compute and storage space. However—and this is an important point—there are usually a large number of other people using the same compute and storage resources within their own virtualized environment.
AWS Lambda receives the cleaning mission metadata and parses the format to Amazon DynamoDB. Amazon Kinesis batches the mission data and stores it in Amazon S3. Amazon S3 is used as the iRobot data lake for analytics, where all message data is compressed and stored. Once the data is in Amazon S3, iRobot uses the AWS Analytics toolset. Amazon Athena allows iRobot to explore and discover patterns in the data without having to run compute resources all the time.