AWS Storage Blog

New on the Open Source blog: Using the FSx for Lustre CSI Driver with Amazon EKS

From time to time the AWS Storage Blog will point you to storage related blog posts from other AWS blog channels that we think you will find interesting or helpful for your storage use cases. We wanted to share a post from the Open Source Blog that highlights a walk-through of using Amazon FSx for Lustre […]

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Register for and attend this April 24 Webinar – Amazon S3 Glacier Deep Archive: The Cheapest Storage in the Cloud

We recently announced the general availability of Amazon S3 Glacier Deep Archive, a new Amazon S3 storage class providing secure and durable object storage for long-term retention of data that is accessed rarely in a year. From just $0.00099 per GB-month (less than one-tenth of one cent, or about $1 per TB-month), S3 Glacier Deep […]

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Migrating storage with AWS DataSync

AWS launched AWS DataSync at re:Invent 2018 to simplify and accelerate moving data between on-premises and AWS over the network. Customers are using DataSync for a number of use cases, such as migration, recurring transfers for data processing in AWS, disaster recovery, and one-off transfers of large datasets. After the launch, I heard about how […]

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How to test drive Amazon Elastic File System

Many customers are excited about Amazon EFS because it makes creating and running a highly scalable, highly available, and highly durable shared file system in the cloud incredibly easy. Within seconds, you can create an NFSv4 compliant file system and mount it to multiple (up to thousands of) Amazon EC2 instances or on-premises servers. Amazon […]

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Turbocharge Amazon S3 with Amazon ElastiCache for Redis

Authored by Michael Labib, Principal Architect, AWS Solutions Architecture with contribution from Sabrinath Rao, Amazon S3 product manager Amazon S3 is the persistent store for applications such as data lakes, media catalogs, and website-related content. These applications often have latency requirements of 10 ms or less, with frequent object requests on 1–10% of the total stored […]

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