Using Amazon EC2 Compute Instances
In the following topic, you can find an overview of using Amazon EC2 compute instances on a Snowball Edge device. The topic includes conceptual information, procedures, and examples.
Note
These features are not supported in the Asia Pacific (Mumbai) AWS Region.
Overview
You can run Amazon EC2 compute instances hosted on a Snowball Edge with the
sbe1, sbe-c, and sbe-g instance types. The
sbe1 instance type works on devices with the Snowball Edge Storage
Optimized option. The sbe-c instance type works on devices with the
Snowball Edge Compute Optimized option. Both the sbe-c and
sbe-g instance types work on devices with the Snowball Edge Compute
Optimized with GPU option.
All three compute instance types supported for use on Snowball Edge device options are unique to Snowball Edge devices. Like their cloud-based counterparts, these instances require Amazon Machine Images (AMIs) to launch. You choose the AMI to be that base image for an instance in the cloud, before you create your Snowball Edge job.
To use a compute instance on a Snowball Edge, create a job and specify your AMIs. You can do this from the AWS Snowball Management Console, with the AWS CLI, or with one of the AWS SDKs. Typically, there are some housekeeping prerequisites that you must perform before creating your job, to use your instances.
After your device arrives, you can start managing your AMIs and instances. You can manage your compute instances on a Snowball Edge through an Amazon EC2–compatible endpoint. This type of endpoint supports many of the Amazon EC2 CLI commands and actions for the AWS SDKs. You can't use the AWS Management Console on the Snowball Edge to manage your AMIs and compute instances.
When you're done with your device, return it to AWS. If the device was used in an import job, the data transferred using the Amazon S3 Adapter for Snowball or the file interface is imported into Amazon S3. Otherwise, we perform a complete erasure of the device when it is returned to AWS. This erasure follows the National Institute of Standards and Technology (NIST) 800-88 standards.
Important
Data in compute instances running on a Snowball Edge isn't imported into AWS.
Compute Instances on Clusters
You can use compute instances on clusters of Snowball Edge devices. The procedures and guidance for doing so are the same as for using compute instances on a standalone device.
When you create a cluster job with AMIs, a copy of each AMI exists on each node in the cluster. For that reason, there can only be 10 AMIs associated with a cluster of devices, regardless of the number of nodes on the cluster. When you launch an instance in a cluster, you declare the node to host the instance in your command, and the instance runs on a single node.
Clusters must be either compute optimized or storage optimized. You can have a cluster of compute optimized nodes, and some number of them can have GPUs. You can have a cluster made entirely of storage optimized nodes. A cluster can't be made of a combination of compute optimized nodes and storage optimized nodes.
Pricing for Compute Instances on Snowball Edge
There are additional costs associated with using compute instances. For more information, see AWS Snowball Edge Pricing.
Prerequisites
Before creating your job, keep the following information in mind:
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Before you add any AMIs to your job creation request, make sure that you have an AMI created in your AWS account of the supported image type. Currently, supported AMIs are based on the CentOS 7 (x86_64) - with Updates HVM, Ubuntu Server 14.04 LTS (HVM), and Ubuntu 16.04 LTS - Xenial (HVM) images. You can get any one of these images from the AWS Marketplace.
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All AMIs must be based on Amazon Elastic Block Store, with a single volume.
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If you are planning connecting to a compute instance running on a Snowball Edge, you must use Secure Shell (SSH). To do so, you first add the key pair. For more information, see Configure an AMI to Use SSH to Connect to Compute Instances Launched on the Device.
