Local Compute and Storage Only Jobs - Amazon Snowball Edge Developer Guide
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Local Compute and Storage Only Jobs

Local compute and storage jobs enable you to use Amazon S3 and Amazon Lambda powered by Amazon IoT Greengrass locally, without an internet connection. While local storage and compute functionality also exists for the import and export job types, this job type is only for local use. You can't export data from Amazon S3 onto the device or import data into Amazon S3 when the device is returned.

Local Compute Jobs

The local compute functionality is Amazon Lambda powered by Amazon IoT Greengrass. It can automatically run Python-language code in response to Amazon S3 PUT object action API calls to the Amazon Snowball Edge device. You write the Python code as a Lambda function in the Lambda console.

Buckets and Lambda functions have a one-to-one relationship, meaning that one Lambda function can be associated with one bucket when the job is created. For more information, see Using Amazon Lambda with an Amazon Snowball Edge.

Local Storage Jobs

You can read and write objects to an Amazon Snowball Edge device using the Amazon S3 interface or the file interface. The S3 interface comes built-into the device, and it supports Amazon S3 REST API actions. This Amazon S3 REST API support is limited to a subset of S3 REST API actions. For more information, see Transferring Files Using the Amazon S3 Interface.

When you've finished using the device, return it to Amazon, and the device will be erased. This erasure follows the National Institute of Standards and Technology (NIST) 800-88 standards.

Local Cluster Option

A cluster is a logical grouping of Snowball Edge devices, in groups of 5–10 devices. A cluster is created as a single job, which offers increased durability and storage size when compared to other Amazon Snowball job offerings. For more information about cluster jobs, see Using an Amazon Snowball Edge Cluster.