Tag: AWS Snowball Edge

Do you need to capture terabytes or petabytes of data from the field, but struggle to offload the data efficiently, keep up with storage capacity, and maintain equipment in extreme environmental conditions? We commonly hear these challenges from customers who are capturing data in remote locations for future analysis. It is time consuming to offload […]

Customers across numerous industries need to extend their applications from the cloud to rugged, mobile edge, and disconnected environments to capture and process data closer to where it is created. Today, many of these customers use third-party storage solutions at the edge. This approach requires significant effort to rearchitect applications for both cloud and edge […]

When moving your applications and business infrastructure to AWS, it is likely you will need to migrate your existing data as well. This data often comes from file share environments and contains a variety of file sizes. If the data contains more than a single digit percentage of files under 1 MB, your migration performance […]

At the edge, in austere, non-data center environments, and in locations where there’s lack of consistent network connectivity, optimizing costs and operations is essential to successful outcomes. It can be difficult to manage costs and achieve goals in these austere environments, with limited resources and capabilities. The Snow Family, comprised of AWS Snowcone and AWS Snowball, enable you to […]

When the AWS Snowball Edge launched in 2016, if you wanted to run Amazon Elastic Compute Cloud (Amazon EC2) instances on the device, you were required to specify an Amazon Machine Image (AMI) to be installed on it at time of ordering. You were then able to launch Amazon EC2 instances on the device based […]

The last century has seen some remarkable innovation that has created new possibilities in a wide range of computing areas. Most remarkable of all is that companies around the world can now have all of their data in one place, completely accessible, all of the time. Amazon S3 and all of the S3 storage classes […]

Customers often choose to move large amounts of on-premises data to Amazon S3 Glacier. These customers choose to use S3 Glacier for its ability to reliably and securely store any amount of data at a cost-effective price, while being designed for 11 9’s of data durability. This makes S3 Glacier a popular choice for long-term […]

Customers use AWS Snow Family devices to run storage, compute, and data-processing operations in austere environments with inconsistent (or no) network connectivity. The AWS Snow Family, comprised of AWS Snowcone and AWS Snowball, offers a number of physical devices and capacity points, most with built-in computing capabilities. These devices help physically transport up to exabytes […]

Ramesh Kumar, Senior Product Manager of the AWS Snow Family, just broadcasted his AWS re:Invent 2020-2021 session yesterday: “Edge computing innovation with AWS Snowcone and AWS Snowball Edge.” You can now watch Ramesh’s 30-minute edge session on-demand. In this blog, I discuss highlights from Ramesh’s session, including an overview of AWS services from the cloud […]

AWS Snowball Edge customers are running applications for edge local data processing, analysis, and machine learning using Amazon EC2 compute instances on Snowball Edge devices in remote or disconnected locations. Customers use Snowball Edge devices in locations including, but not limited to, cruise ships, oil rigs, and factory floors with no or limited network connectivity. […]