The Amazon FSx has a very efficient way of deploying and running traditional file servers in the cloud that is completely administered by AWS. You can use the wide feature sets & fast performance of popular open-source & commercially licensed file systems with a hassle-free experience, i.e., remove the headaches of hardware provisioning, software configuration, patching, and backups.
You can choose out of the 2 file systems:
- Amazon FSx for Windows File Server Amazon FSx for Windows File Server is a fully managed file server accessible over the SMB protocol. It is deployed on a Windows server managed by AWS and have features like data deduplication, end-user file restore, and Microsoft Active Directory integration, scheduled backups, and data encryption. You can use this to migrate your file servers to cloud and it can be used as a file share for applications.
- Amazon FSx for Lustre Amazon FSx for Lustre is also a fully managed service for workloads that require high performance such as machine learning, high-performance computing (HPC), video rendering, and financial simulations. Powered by Lustre, the world’s most popular high-performance file system, FSx for Lustre offers shared storage with low latencies, up to hundreds of gigabytes per second of throughput, and millions of IOPS.
Features
Economical
You get the option of spinning file systems up or down on-demand. It provides an extensive amount of Solid-State Disk (SSD) & Hard Disk Drive (HDD) data storage facilities that allow you to choose the best plan according to your storage & price specifications.
The FSx for Windows File Server provides data deduplication, hence enabling cost efficiency by eliminating all the residual data. The FSx for Lustre allows you to select non-replicated, scratch file systems to promote cost-cutting for the temporary processing of data.
Efficient performance
Even the most graphic-intense enterprise applications & high-performance workloads are supported by the FSx, as it was designed to deliver quick & expected results with measurable & consonant performance.
High read and write speeds with consistent low latency data access are delivered by the Amazon FSx.
Just select the type of storage & throughput level according to your application’s requirements. There is also a provision for increasing the storage capacity at any given time, in accordance with your dynamic business requirements.
Available & Scalable
Operates the same as any other AWS, & it offers several options for deployment in accordance with your work’s requirements. With FSx for Windows File Server, you get the option of choosing either single-AZ or multi-AZ deployment types, which depends on the needs of your application. With FSx for Lustre, you get to select from scratch or persistent storage for temporary or permanent data processing.
Simple & fully managed
It can be opened with a few clicks, in which there is no hassle in managing file servers & storage volumes, updating hardware, configuring software, monitoring storage consumption, or performing backups – with Amazon FSx all these processes become automatic.
Safe & accommodating
Encryption of your data at rest & in transit is done automatically by the Amazon FSx. For overseeing the network access to your file system, Amazon FSx allows you to operate your file systems via an Amazon Virtual Private Cloud (Amazon VPC). The Amazon FSx is the culmination of a carefully planned file system having the highest security standards that comply with ISO, PCI-DSS, and SOC certifications, & is HIPAA eligible. Additionally, the integration with AWS Backup allows you to meet your data protection specifications that are secured with compliance management & centralized backup for your Amazon FSx file systems.
Integrated with AWS services
Several AWS services can be integrated with the Amazon FSx file systems, like- Amazon CloudWatch, Amazon CloudTrail, AWS KMS, Amazon SageMaker, Amazon Elastic Container Service (Amazon ECS), Amazon WorkSpaces, Amazon AppStream 2.0, Amazon S3, Amazon Elastic Kubernetes Service (Amazon EKS), AWS Batch, and AWS ParallelCluster.
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