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  2. Amazon S3 Glacier - Wikipedia

    en.wikipedia.org/wiki/Amazon_S3_Glacier

    Amazon S3 Glacier is an online file storage web service that provides storage for data archiving and backup. [ 2 ] Glacier is part of the Amazon Web Services suite of cloud computing services, and is designed for long-term storage of data that is infrequently accessed and for which retrieval latency times of 3 to 5 hours are acceptable.

  3. Amazon S3 - Wikipedia

    en.wikipedia.org/wiki/Amazon_S3

    Amazon S3 Glacier Flexible Retrieval is also a low-cost option for long-lived data; it offers 3 retrieval speeds, ranging from minutes to hours. Amazon S3 Glacier Deep Archive is the lowest cost storage for long-lived archive data that is accessed less than once per year and is retrieved asynchronously.

  4. Category:Amazon Web Services - Wikipedia

    en.wikipedia.org/wiki/Category:Amazon_Web_Services

    Main page; Contents; Current events; Random article; About Wikipedia; Contact us; Pages for logged out editors learn more

  5. Amazon Web Services - Wikipedia

    en.wikipedia.org/wiki/Amazon_Web_Services

    Early AWS "building blocks" logo along a sigmoid curve depicting recession followed by growth. [citation needed]The genesis of AWS came in the early 2000s. After building Merchant.com, Amazon's e-commerce-as-a-service platform that offers third-party retailers a way to build their own web-stores, Amazon pursued service-oriented architecture as a means to scale its engineering operations, [15 ...

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  7. Amazon Elastic Compute Cloud - Wikipedia

    en.wikipedia.org/wiki/Amazon_Elastic_Compute_Cloud

    An example of this pricing would be $0.096 per hour for a Linux, m5.large, EC2 instance in the us-east-1 region. Pricing will vary based on the instance type, region, and operating system of the instance. Public on-demand pricing for EC2 can be found on the AWS website. The other pricing models for EC2 have different pricing models.

  8. Amazon DynamoDB - Wikipedia

    en.wikipedia.org/wiki/Amazon_DynamoDB

    Dynamo, it seemed, was everything their engineers needed, but adoption lagged. Amazon's developers opted for "just works" design patterns with S3 and SimpleDB. While these systems had noticeable design flaws, they did not demand the overhead of provisioning hardware and scaling and re-partitioning data.

  9. Talk:Amazon S3 Glacier - Wikipedia

    en.wikipedia.org/wiki/Talk:Amazon_S3_Glacier

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