AWS Storage Blog

Category: AWS Systems Manager

Amazon S3

Auto sync files from Amazon S3 to Amazon WorkDocs

Today, many customers use Amazon S3 as their primary storage service for a range of use cases, including data lakes, websites, mobile applications, backup and restore, archive, big data analytics, and more. Versatile, scalable, secure, and highly available all over the world, S3 serves as a cost-effective data storage foundation for countless application architectures. Often, customers […]

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Amazon S3

Automate Amazon S3 versioning using AWS Config rules

Different enterprises and organizations have different data compliance requirements and regulations that they must adhere to for legal, security, safety, and best practice reasons. Historically, customers with data in Amazon S3 have manually performed remediation actions on non-compliant buckets. This includes writing and maintaining scripts running on regular intervals to check for non-compliant S3 buckets […]

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Automating shadow copies configuration on Amazon FSx for Windows File Server

We often hear from customers that they love the self-service, fine-grained file restore capability of the shadow copies feature on Amazon FSx for Windows File Server Filer Server (Amazon FSx). Our customers also relay to us the convenience of being able to schedule shadow copies on file systems using PowerShell commands. However, enabling Windows shadow […]

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Amazon S3

Transferring Amazon S3 data from AWS Regions to AWS Regions in China

AWS customers with data located in multiple AWS Regions often ask about moving files from AWS Regions outside of China to the AWS China (Beijing) Region and the AWS China (Ningxia) Region to localize data within China for compliance, data center operations, and data storage requirements. To best serve customers in China and comply with […]

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Automating Amazon EBS Volume-resizing with AWS Step Functions and AWS Systems Manager

In active applications, it’s possible for an Amazon EC2 instance’s Amazon EBS volume utilization to reach provisioned capacity. Depending on the application in use, this creates the risk of a customer-impacting application outage when that provisioned capacity is exhausted. One solution is to design a failover mechanism into the application. However, this can be a […]

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