AWS Storage Blog

Category: Expert (400)

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Run containerized applications efficiently using Amazon FSx for NetApp ONTAP and Amazon EKS

Kubernetes is a scalable system that offers rapid and easy containerized application deployments for both stateless and long-running, stateful applications. Many Kubernetes applications require a storage system that integrates with the Kubernetes Container Storage Interface (CSI) to create file and block volumes, scale storage, take snapshots, and create clones. Amazon FSx for NetApp ONTAP supports […]

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Updating Amazon S3 object ACLs at scale with S3 Batch Operations

Access control lists (ACLs) are permission sets associated with data or other system resources that dictate access permissions, and they have been a staple of data security for decades. You may come across a situation where you want to update the ACL on a large number of files, perhaps billions or more. For example, you […]

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Automate visibility of backup findings using AWS Backup and AWS Security Hub

Centralizing and automating data protection helps you support your business continuity and regulatory compliance goals. Backup compliance includes the ability to define and enforce backup policies to encrypt your backups, protect them from manual deletion, prevent changes to your backup lifecycle settings, and audit and report on backup activity from a centralized console. A common […]

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Customization and field maintenance with AWS Snowball Edge – sideloading AMIs

When the AWS Snowball Edge launched in 2016, if you wanted to run Amazon Elastic Compute Cloud (Amazon EC2) instances on the device, you were required to specify an Amazon Machine Image (AMI) to be installed on it at time of ordering. You were then able to launch Amazon EC2 instances on the device based […]

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Enabling SMB access for serverless workloads with Amazon FSx

Many customers adopting a cloud-first strategy prioritize serverless technologies and cloud file storage that offer automatic scaling, built-in high availability, and a pay-for-use billing model to increase agility and optimize costs. As customers adopt serverless architectures, they may need shared data access on a persistent storage layer. While AWS Lambda includes a 512-MB temporary file […]

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Copying objects greater than 5 GB with Amazon S3 Batch Operations

Update: Added support for Glacier Instant Retrieval storage class on March 4th, 2022, and included the copy destination prefix parameter in the Amazon CloudFormation template on April 19th, 2022. A large number of customers store their data in Amazon S3, and some of these customers scale to millions or billions of individual objects. Amazon S3 […]

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Monitoring CloudEndure Disaster Recovery with AWS Lambda

Many organizations must monitor and track their disaster recovery (DR) initiatives to meet business and audit objectives. CloudEndure Disaster Recovery provides fast and reliable recovery of physical, virtual, and cloud-based servers into AWS. It uses email alerts and has a high-level dashboard for monitoring DR jobs. However, many organizations require more robust reporting mechanisms. This […]

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Validate your disaster recovery solution and simplify compliance reporting on AWS

Data protection is a key element of compliancy, and organizations must deploy controls to manage the protection of their data and handle operational disruptions. With ongoing configuration and resource changes within IT infrastructure, it can be challenging to continuously and efficiently validate, maintain, and report on compliance to ensure that internal policies and regulatory standards […]

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Automate data recovery validation with AWS Backup

Your data may be your most valuable asset. Disaster events that affect your workloads can result in a loss of data. A disaster is an event that causes a serious negative impact on your business. Having backups of your data helps minimize the impact of these disaster events by giving you the ability to recover […]

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Event-driven data transfer to container-shared storage on AWS

Businesses using data lake solutions built on Amazon S3 often want their data science teams to have access to that same data for machine learning or analytics projects deployed on tools like RStudio Server and Shiny. To do so, they can easily deploy these tools in the cloud using Amazon ECS or Amazon EKS serverless containers with AWS Fargate, and can access […]

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