![]() The Amazon S3 console highlights your publicly accessible buckets, indicates the source of public accessibility, and also warns you if changes to your bucket policies or bucket ACLs would make your bucket publicly accessible. You can use access control mechanisms such as bucket policies to selectively grant permissions to users and groups of users. ![]() ![]() Amazon S3 supports user authentication to control access to data. Upon creation, only you have access to Amazon S3 buckets that you create, and you have complete control over who has access to your data. S3 strong consistency also reduces costs by removing the need for extra infrastructure to provide strong consistency.Īmazon S3 is secure by default. These applications automatically and immediately benefit from strong read-after-write consistency. High-performance computing workloads also benefit in that when an object is overwritten and then read many times simultaneously, strong read-after-write consistency provides assurance that the latest write is read across all reads. For example, strong read-after-write consistency helps for workloads like Apache Spark and Apache Hadoop where you often read and list immediately after writing objects. Strong read-after-write consistency helps you when you need to immediately read an object after a write. Q: Why does strong read-after-write consistency help me? S3 also provides strong consistency for list operations, so after a write, you can immediately perform a listing of the objects in a bucket with any changes reflected. After a successful write of a new object or an overwrite of an existing object, any subsequent read request immediately receives the latest version of the object. Q: What is the consistency model for Amazon S3?Īmazon S3 delivers strong read-after-write consistency automatically for any storage request, without changes to performance or availability, without sacrificing regional isolation for applications, and at no additional cost.Īny request for S3 storage is now strongly consistent.
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