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Job status can be tracked via Amazon SNS generated text or email messages or directly in the Console.\r\nPROCESS & ANALYZE DATA LOCALLY\r\nRun EC2 AMIs and deploy AWS Lambda code on Snowball Edge to run local processing or analysis with machine learning or other applications. Developers and administrators can run applications directly on the device as a consistent AWS environment without network connectivity. This capability helps customers develop their machine learning and analysis tools and test them in the cloud but operate them in locations with limited or non-existent network connections before shipping the data back to AWS. Snowball Edge can capture the data from the remote site and any additional unrecognized data so the machine learning models can be refined and propagated.\r\nSTAND-ALONE STORAGE\r\nSnowball Edge devices can provide local storage to existing on-premises applications through a file sharing protocol (NFS) or object storage interface (the S3 API). Additionally, you can use on-board block storage volumes for applications running on Amazon EC2 instances on the Snowball Edge. You can also cluster Snowball Edge devices together into a single, larger, storage tier with increased durability. If a Snowball Edge needs to be replaced, it can be removed from the cluster and replaced with a new Snowball Edge.\r\nSECURE\r\nSnowball Edge devices use tamper-evident enclosures, 256-bit encryption, and industry-standard Trusted Platform Modules (TPM) designed to ensure both security and full chain-of-custody for your data. Encryption keys are managed with the AWS Key Management Service (KMS) and they are never stored on the device.\r\nSCALABLE\r\nSnowball Edge devices can transport multiple terabytes of data and multiple devices can be used in parallel or clustered together to transfer petabytes of data into or out of AWS. 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