File Gateway

Store and access SMB and NFS file data with local caching

Nearly all enterprises, regardless of industry, have to store files, whether they are backups, media content, or files generated by specialized industry applications. Managing and scaling on-premises infrastructure to provide online storage and distribution of such backup or content files is often burdensome and costly, requiring expensive hardware refreshes, data center expansion, and software licensing. These large file data repositories can be siloed in specialized file servers or backup systems, limiting access for file sharing, analytics, or media processing.

You can choose from two file gateway types for your latency-sensitive applications and workloads that require local caching and file protocol access. Amazon S3 File Gateway enables you to store file data as objects in Amazon S3 cloud storage for data lakes, backups, and ML workflows. For user or team file shares, and file-based application migrations, Amazon FSx File Gateway provides low-latency, on-premises access to fully managed file shares in Amazon FSx for Windows File Server.

How it works

  • Amazon S3 File Gateway
  • How Amazon S3 File Gateway  works
  • Amazon FSx File Gateway
  • How Amazon FSx File Gateway works

Benefits

Extends the AWS Cloud to your data center

Requires no changes to existing applications

Reduces physical infrastructure, cost, and complexity

Customers

Kellogg Company experienced a 90% reduction in costs in software and infrastructure by using File Gateway for their backups. There was a substantial cost avoidance for Kellogg Company since they did not need to pay any upfront costs. They also were able to reduce their resources by 25% enabling them to downsize some of their instances.
Celgene faced a big challenge integrating their wet labs with the computational aspect of their research. Celgene uses Storage Gateway and DataSync to synchronize their on-premise wet labs with AWS Storage. By having Celgene's scientists immediately be able to save their files directly to the cloud, they can go on with the next experiment without having to wait for the transfer times, and they never run out of space.
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