AWS Snowball is a service that provides the most convenient method of local storage and data transfer over a large network. Snowball is a petabyte-scale data transport solution that uses secure appliances to transfer large amounts of data into and out of the AWS cloud. In the blog, you will learn all about it, including its features, benefits, limitations, pricing, etc.
AWS Snowball Edge एक अमेज़न वेब सर्विस है इस पोस्ट में हम इसके बारे में अच्छे से जानेंगे What is AWS Snowball Edge in Hindi की AWS Snowball Edge किसे कहते है।
What is AWS Snowball Edge in Hindi?
AWS Snowball Edge is a type of Snowball device with on-board storage and compute power for select AWS capabilities. Snowball Edge can do local processing and edge-computing workloads in addition to transferring data between your local environment and the AWS Cloud.
Each Snowball Edge device can transport data at speeds faster than the internet. This transport is done by shipping the data in the appliances through a regional carrier. The appliances are rugged, complete with E Ink shipping labels.
Snowball Edge devices have three options for device configurations—Storage Optimized, Compute Optimized, and Compute Optimized with GPU. When this guide refers to Snowball Edge devices, it’s referring to all options of the device. When specific information applies only to one or more optional configurations of devices (such as how the Snowball Edge with GPU has an on-board GPU), it is called out specifically.
AWS Snowball Edge Features
Snowball Edge devices have the following features:
- Large amounts of storage capacity or compute functionality for devices. This depends on the options you choose when you create your job.
- Network adapters with transfer speeds of up to 100 Gbit/second.
- Encryption is enforced, protecting your data at rest and in physical transit.
- You can import or export data between your local environments and Amazon S3, and physically transport the data with one or more devices without using the internet.
- Snowball Edge devices are their own rugged box. The built-in E Ink display changes to show your shipping label when the device is ready to ship.
- Snowball Edge devices come with an on-board LCD display that can be used to manage network connections and get service status information.
- You can cluster Snowball Edge devices for local storage and compute jobs to achieve data durability across 5–10 devices and locally grow or shrink storage on demand.
- You can use the file interface to read and write data to an AWS Snowball Edge device through a file share or Network File System (NFS) mount point.
- You can write Python-language Lambda functions and associate them with Amazon S3 buckets when you create an AWS Snowball Edge device job. Each function triggers when a local Amazon S3
PUTobject action is run on the associated bucket on the device. - Snowball Edge devices have Amazon S3 and Amazon EC2 compatible endpoints available, enabling programmatic use cases.
- Snowball Edge devices support the new
sbe1,sbe-c, andsbe-ginstance types, which you can use to run compute instances on the device using Amazon Machine Images (AMIs).
Difference between Snowball and Snowball Edge
The basic difference between Snowball and Snowball Edge is the capacity they provide. Snowball provides a total of 50 TB or 80 TB, out of which 42 TB or 72 TB is available, while Amazon Snowball Edge provides 100 TB, out of which 83 TB is available.
The general idea behind both types of devices falls under the same umbrella but Snowball Edge does not require downloading a client’s data in order to perform encryption and other tasks, while Snowball heavily relies on it.
Services Related to the AWS Snowball Edge
You can use an AWS Snowball Edge device with the following related AWS services:
- Amazon S3 – Transfer data to an AWS Snowball Edge device using the Amazon S3 API for Snowball Edge, which supports a subset of the Amazon S3 API operations. You can do this in a single Snowball Edge device or in a cluster of devices for increased data durability.
You can also import data that is hosted on an AWS Snowball Edge device to Amazon S3 and your local environment through a shipped Snowball Edge device. For more information, see the Amazon Simple Storage Service User Guide.
- Amazon EC2 – Run compute instances on a Snowball Edge device using the Amazon EC2 compatible endpoint, which supports a subset of the Amazon EC2 API operations. For more information about using Amazon EC2 in AWS, see Getting started with Amazon EC2 Linux instances.
- AWS Lambda powered by AWS IoT Greengrass – Invoke Lambda functions based on Amazon S3 storage actions made on an AWS Snowball Edge device. These Lambda functions are associated with an AWS Snowball Edge device during job creation. For more information about using Lambda, see the AWS Lambda Developer Guide.
- Amazon Elastic Block Store (Amazon EBS) – Provide block-level storage volumes for use with EC2 instances. For more information, see Amazon Elastic Block Store (Amazon EBS).
- AWS Identity and Access Management (IAM) – Use this service to securely control access to AWS resources. For more information, see What is IAM?
- AWS Security Token Service (AWS STS) – Request temporary, limited-privilege credentials for IAM users or for users that you authenticate (federated users). For more information, see Temporary security credentials in IAM.
- Amazon EC2 Systems Manager – Use this service to view and control your infrastructure on AWS. For more information, see What is AWS Systems Manager?
Conclusion
इस पोस्ट में हमने AWS Snowball Edge अमेज़न वेब सर्विस के बारे में अच्छे से जाना।
If you are thinking about making use of the AWS Snowball Edge technology, do some research into the steps that you should take. You will need to create an AWS account that includes administrator-level AWS Identity and Access Management permissions.
The files and folders that you want to transfer also need to follow object key naming conventions for Amazon S3. The exact steps depend on whether you wish to import data, export data, or use compute instances; so, read up on the details to ensure that you get the job done right.
If you thought our AWS Snowball tutorial was helpful, let us know in the comments below.
