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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.
A cloud server is primarily an Infrastructure as a Service (IaaS) based cloud service model. There are two types of cloud server: logical and physical. A cloud server is considered to be logical when it is delivered through server virtualization. In this delivery model, the physical server is logically distributed into two or more logical servers, each of which has a separate OS, user interface and apps, although they share physical components from the underlying physical server.
A virtual server can be created in a matter of seconds, quite literally. It can also be dismissed as quickly when it is no longer needed. Sending resources to a virtual server is a simple matter as well, requiring no in-depth hardware modifications. Flexibility is one of the primary advantages of cloud hosting, and it is a characteristic that is essential to the idea of the cloud server.