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amazonka-glacier: Amazon Glacier SDK.

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Amazon Glacier is a storage solution for "cold data." Amazon Glacier is an extremely low-cost storage service that provides secure, durable, and easy-to-use storage for data backup and archival. With Amazon Glacier, customers can store their data cost effectively for months, years, or decades. Amazon Glacier also enables customers to offload the administrative burdens of operating and scaling storage to AWS, so they don't have to worry about capacity planning, hardware provisioning, data replication, hardware failure and recovery, or time-consuming hardware migrations. Amazon Glacier is a great storage choice when low storage cost is paramount, your data is rarely retrieved, and retrieval latency of several hours is acceptable. If your application requires fast or frequent access to your data, consider using Amazon S3. For more information, go to Amazon Simple Storage Service (Amazon S3). You can store any kind of data in any format. There is no maximum limit on the total amount of data you can store in Amazon Glacier. If you are a first-time user of Amazon Glacier, we recommend that you begin by reading the following sections in the /Amazon Glacier Developer Guide/: - What is Amazon Glacier - This section of the Developer Guide describes the underlying data model, the operations it supports, and the AWS SDKs that you can use to interact with the service. - Getting Started with Amazon Glacier - The Getting Started section walks you through the process of creating a vault, uploading archives, creating jobs to download archives, retrieving the job output, and deleting archives.

The types from this library are intended to be used with amazonka, which provides mechanisms for specifying AuthN/AuthZ information and sending requests.

Use of lenses is required for constructing and manipulating types. This is due to the amount of nesting of AWS types and transparency regarding de/serialisation into more palatable Haskell values. The provided lenses should be compatible with any of the major lens libraries such as lens or lens-family-core.

See Network.AWS.Glacier and the AWS API Reference to get started.

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Versions [RSS] 0.3.0, 0.3.1, 0.3.2, 0.3.3, 0.3.4, 0.3.5, 0.3.6, 1.0.0, 1.0.1, 1.1.0, 1.2.0, 1.2.0.1, 1.2.0.2, 1.3.0, 1.3.1, 1.3.2, 1.3.3, 1.3.3.1, 1.3.4, 1.3.5, 1.3.6, 1.3.7, 1.4.0, 1.4.1, 1.4.2, 1.4.3, 1.4.4, 1.4.5, 1.5.0, 1.6.0, 1.6.1, 2.0
Dependencies amazonka-core (>=1.3.2 && <1.3.3), base (>=4.7 && <4.19) [details]
License LicenseRef-OtherLicense
Copyright Copyright (c) 2013-2015 Brendan Hay
Author Brendan Hay
Maintainer Brendan Hay <brendan.g.hay@gmail.com>
Revised Revision 1 made by jack at 2024-05-13T07:48:50Z
Category Network, AWS, Cloud, Distributed Computing
Home page https://github.com/brendanhay/amazonka
Bug tracker https://github.com/brendanhay/amazonka/issues
Source repo head: git clone git://github.com/brendanhay/amazonka.git
Uploaded by BrendanHay at 2015-09-18T09:02:32Z
Distributions LTSHaskell:2.0, NixOS:2.0
Reverse Dependencies 1 direct, 0 indirect [details]
Downloads 23360 total (137 in the last 30 days)
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Status Docs available [build log]
Last success reported on 2015-09-18 [all 1 reports]

Readme for amazonka-glacier-1.3.2

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Amazon Glacier SDK

Version

1.3.2

Description

Amazon Glacier is a storage solution for "cold data."

Amazon Glacier is an extremely low-cost storage service that provides secure, durable, and easy-to-use storage for data backup and archival. With Amazon Glacier, customers can store their data cost effectively for months, years, or decades. Amazon Glacier also enables customers to offload the administrative burdens of operating and scaling storage to AWS, so they don't have to worry about capacity planning, hardware provisioning, data replication, hardware failure and recovery, or time-consuming hardware migrations.

Amazon Glacier is a great storage choice when low storage cost is paramount, your data is rarely retrieved, and retrieval latency of several hours is acceptable. If your application requires fast or frequent access to your data, consider using Amazon S3. For more information, go to <http://aws.amazon.com/s3/ Amazon Simple Storage Service (Amazon S3)>.

You can store any kind of data in any format. There is no maximum limit on the total amount of data you can store in Amazon Glacier.

If you are a first-time user of Amazon Glacier, we recommend that you begin by reading the following sections in the /Amazon Glacier Developer Guide/:

Documentation is available via Hackage and the AWS API Reference.

The types from this library are intended to be used with amazonka, which provides mechanisms for specifying AuthN/AuthZ information and sending requests.

Use of lenses is required for constructing and manipulating types. This is due to the amount of nesting of AWS types and transparency regarding de/serialisation into more palatable Haskell values. The provided lenses should be compatible with any of the major lens libraries lens or lens-family-core.

Contribute

For any problems, comments, or feedback please create an issue here on GitHub.

Note: this library is an auto-generated Haskell package. Please see amazonka-gen for more information.

Licence

amazonka-glacier is released under the Mozilla Public License Version 2.0.

Parts of the code are derived from AWS service descriptions, licensed under Apache 2.0. Source files subject to this contain an additional licensing clause in their header.