AWS Storage Blog

Category: Amazon EC2

Using Veeam with AWS Storage services to store off-site backups

Many customers are using Veeam Backup & Replication to protect their on-premises infrastructure and want to reduce the amount of physical backup infrastructure that they need to purchase and maintain. They also want to ensure that their backups reside in highly durable, cost effective storage. AWS Storage services such as Amazon S3, AWS Storage Gateway, […]

Read More
CloudEndure-AWS-Storage-Blog

Migrating workloads across AWS Regions with CloudEndure Migration

AWS customers are in various stages of their cloud journey. Frequently, enterprises begin that journey by rehosting (lift-and-shift migrating) their on-premises workloads into AWS and running on our Amazon EC2 instances. Many of these customers perform that rehosting using CloudEndure Migration, our cloud-native migration tool. However, this rehosting migration pattern with CloudEndure Migration can also […]

Read More
AWS DataSync Featured Image

Transferring file data across AWS Regions and accounts using AWS DataSync

Many customers that use Amazon EFS want to replicate their file systems to other AWS accounts or other AWS Regions. Customers may do this for business continuity purposes or to provide low-latency access to data for processes running in other Regions. AWS DataSync makes it easy for customers to replicate data from one Amazon EFS […]

Read More

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 […]

Read More

How Qubole optimizes cost and performance by managing shuffle data

Ad hoc analytics, data exploration, data engineering, and machine learning (ML) workloads are often run at a massive scale and require significant computing power, which can be costly. Amazon EC2 Spot Instances, which enable you to use unused Amazon EC2 computing capacity in the AWS Cloud, offer up to 90% in savings over On-Demand Instances. […]

Read More

Easily store your SQL Server backups in Amazon S3 using File Gateway

Last year, we published a blog showing you how to set up AWS Storage Gateway to store SQL Server backups in Amazon S3, using cloud-backed SMB shares on File Gateway. Customers with growing on-premises backup costs and increasing operational overhead have used this solution to store their SQL Server backups durably and reliably in AWS, […]

Read More
Amazon EFS Featured Image

Optimizing WordPress performance with Amazon EFS

Many organizations use content management systems (CMS) like WordPress using a single node installation, but could benefit from a multi-node installation, as it is a best practice that provides benefits in terms of performance and availability. The reliability pillar of the AWS Well-Architected Framework recommends the following design principle: “Scale horizontally to increase aggregate system […]

Read More

Deploying a LAMP-based multi-tier web application on AWS Snowball Edge

Imagine you are building an application at a remote location where you must process and make decisions based on locally generated data, say from surveillance cameras or from detection systems. If there is high network latency, you cannot run these applications in the cloud and process data in real time. Other times, you may be […]

Read More

Bristol Myers Squibb increases performance and cost savings using AWS Storage Gateway

As covered in my previous post on the AWS Storage Blog, Bristol Myers Squibb relies on many AWS storage services to manage its petabyte scale data in various life science workflows. Genomics and clinical data is growing at an exponential pace, and it is important to have reliable, scalable, and secure services handling our data. […]

Read More

Building a Linux edge-computing solution with AWS Snowball Edge and Amazon EC2

There are many situations where you must run data inference close to the data sources. Often times these are located at remote, disconnected locations. Let’s consider the following examples: A remote oil drilling platform has numerous sensors that generate data. Critical components have to be monitored for wear and tear, or failure, and replacements must […]

Read More