Using AWS Snowball to Move Large (TB) data workloads into an AWS FSX File System

Short answer: Yes — you can use AWS Snowball to move several Terabytes of data into an FSx file system. In most cases the path is Snowball → S3 → FSx, with service-specific nuances described below.

1) When Snowball Makes Sense

AWS Snowball is built for offline, petabyte-scale migrations. It’s ideal when:

Network bandwidth is limited or expensive
You need to seed large datasets quickly (weeks of transfer time avoided)
You want a predictable, shippable transfer workflow

2) FSx Type-Specific Guidance

FSx Type	Can You Use Snowball?	Typical Method	Notes
FSx for Windows File Server	✅ Yes (indirect)	Snowball Edge → S3 → FSx	Load to S3 via Snowball, then copy to FSx using AWS DataSync or Robocopy from an EC2/Windows host.
FSx for Lustre	✅ Yes (optimized)	S3-linked FSx for Lustre	Put data in S3 via Snowball, then link/import with data repository tasks or at file system creation.
FSx for NetApp ONTAP	✅ Yes (indirect)	Snowball → S3 → FSx (NFS/SMB copy)	Copy from S3 to FSx using `rsync`, `robocopy`, or leverage SnapMirror if you have a source NetApp.
FSx for OpenZFS	⚠️ Partially	Snowball → EC2 staging → FSx (NFS)	Stage from S3 onto EC2, then write to OpenZFS over NFS; consider parallelization for throughput.

3) Reference Workflow (Windows or ONTAP)

Order an AWS Snowball Edge device sized for your dataset.
Copy on-prem data to the Snowball device.
Ship the device back; AWS ingests into your target S3 bucket.
Provision the FSx file system (Windows, ONTAP, Lustre, or OpenZFS) in the target VPC.
Move S3 → FSx using:
- AWS DataSync (supports SMB/NFS/Lustre) for managed, parallel transfer and verification
- Or EC2-hosted tools such as robocopy, xcopy, or rsync

Example: Event-Driven Auto-Tagging of New EC2 (optional helper for staging hosts)

Use an EventBridge rule on RunInstances to trigger a Lambda that tags staging copy hosts.

import boto3
ec2 = boto3.client("ec2")

def lambda_handler(event, context):
    instance_id = event["detail"]["instance-id"]
    ec2.create_tags(Resources=[instance_id], Tags=[
        {"Key": "Purpose", "Value": "FSx-seed"},
        {"Key": "AutoTagged", "Value": "true"}
    ])

4) Snowball vs. Online Transfer

Scenario	Recommended Method
< 5 TB and ≥ 1 Gbps sustained	Online via AWS DataSync
5–100 TB (one-time or burst)	AWS Snowball Edge
> 100 TB or ongoing ingestion	DataSync + Direct Connect or multiple Snowballs

5) Practical Tips

Pre-compress/dedupe to reduce bytes shipped.
Design a consistent directory layout (S3 → FSx mapping is simpler).
Use DataSync filtering and incremental jobs for cutover deltas.
Confirm permissions/ACLs (NTFS for Windows, POSIX/NFS for others) after transfer.
Plan a final delta sync just before production cutover.

Bottom line: For a 50 TB migration, Snowball is a great fit. The common pattern is Snowball → S3 → FSx, with FSx for Lustre offering the most streamlined S3 integration and DataSync providing managed, parallelized copies for Windows, ONTAP, and OpenZFS.

AWS Snowball to move TeraBytes of data into AWS