Data Retention on Amazon S3 and Amazon Glacier

Data Retention on Amazon S3 and Amazon Glacier

Data Retention on Amazon S3 and Amazon Glacier Rob Wilson Senior Product Manager, Amazon S3 ©2017, Amazon Web Services, Inc. or its affiliates. All rights reserved Benefits of Object Storage on Amazon Durable Available High performance • Multipart upload Designed for 11 9s Designed for • Range GET of durability 99.99% availability • Parallelize List Easy to use Scalable Integrated • Simple REST API • Store as much as you need • AWS Elastic MapReduce • IPv6 support • Scale storage and compute • Amazon Redshift • Event Notification independently • Amazon DynamoDB • Lifecycle policies • No minimum usage commitments • And more Internal only – do not distribute Designed for Durability • AWS Region Design • Checksum Validations • Compliance Controls • Cross Region Replication • Versioning • Multi-Factor Authentication AWS Region Design • 16 independent AWS regions worldwide • Each region has isolated availability zones (AZs) • Data is stored simultaneously across AZs • Designed to sustain the concurrent loss of data in two facilities Checksum Validations • Uses CRC, MD5, and SHA256 • Validations performed while data is at rest and in transit • Data integrity is verified as data is uploaded or downloaded • Checks performed automatically using the AWS SDK Compliance Controls • Data immutability is enforced on Amazon Glacier using Vault Lock • Creates an immutable policy • Can be used to block all deletes or to permit only after a specified time period • Enables customers to achieve SEC Rule 17a-4(f) (WORM) compliance • FedRAMP Moderate and FedRAMP High (GovCloud) Cross Region Replication • Automatic, asynchronous copying of objects across buckets in different AWS regions • User specifies the target region and bucket • Replica objects have the same key name and metadata • Can specify the storage class of the replica, lowering the average cost of storage Versioning • Protects your data from overwrites or accidental deletions, by retaining the original objects • In both cases, you can easily recover the original object • Users can access previous versions by specifying the versionID in their requests • Lifecycle policies allow users to control how much data is retained Multi-Factor Authentication (MFA) • Buckets can be configured for MFA Delete • Adds another layer of protection for deleting objects or changing the versioning state of the bucket • Requires two forms of authentication: • Your security credentials • The concatenation of a valid serial number, a space, and the six-digit code displayed on an approved authentication device Questions.

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