When dealing with petabyte-scale file transfers via SFTP, traditional storage solutions quickly hit scalability limits. The key requirements here are:
- Unlimited storage capacity that grows automatically
- Minimal maintenance overhead
- Cost-effective storage for rarely accessed files
- Secure file transfer capabilities
Here are three viable approaches to implement an SFTP gateway for S3:
# Option 1: AWS Transfer Family + S3 (Fully Managed)
# No code required - just configure in AWS Console
AWS Transfer Family → S3 Bucket (with lifecycle policies)
# Option 2: EC2 + SFTP Gateway Software
EC2 Instance (Amazon Linux) →
s3fs-fuse (mount S3 as filesystem) →
OpenSSH (with chroot) →
S3 Bucket
# Option 3: Containerized Solution
Docker Container (atmoz/sftp) →
Custom sync script →
S3 Bucket (using AWS CLI sync)
Here's how to implement the EC2-based solution with proper S3 integration:
# Install required packages
sudo yum install -y openssh-server s3fs-fuse awscli
# Create s3 mount point
sudo mkdir /mnt/s3bucket
sudo chown ec2-user:ec2-user /mnt/s3bucket
# Configure s3fs (requires IAM role with S3 permissions)
echo "my-s3-bucket:/ /mnt/s3bucket fuse.s3fs _netdev,allow_other,iam_role=auto,umask=002,uid=1000,gid=1000 0 0" | sudo tee -a /etc/fstab
# Mount the bucket
sudo mount -a
# SSH configuration for SFTP-only access
sudo vi /etc/ssh/sshd_config
For secure multi-user isolation:
Match Group sftponly
ChrootDirectory /mnt/s3bucket/%u
ForceCommand internal-sftp
X11Forwarding no
AllowTcpForwarding no
# Create user with restricted access
sudo useradd -G sftponly -d /incoming partner1
sudo mkdir -p /mnt/s3bucket/partner1/incoming
sudo chown partner1:sftponly /mnt/s3bucket/partner1/incoming
Use this Python script to process new uploads:
import boto3
import pyinotify
import os
s3 = boto3.client('s3')
BUCKET = 'my-s3-bucket'
class EventHandler(pyinotify.ProcessEvent):
def process_IN_CLOSE_WRITE(self, event):
if not event.dir:
s3_key = os.path.relpath(event.pathname, '/mnt/s3bucket')
s3.upload_file(event.pathname, BUCKET, s3_key)
os.remove(event.pathname)
wm = pyinotify.WatchManager()
handler = EventHandler()
notifier = pyinotify.Notifier(wm, handler)
wdd = wm.add_watch('/mnt/s3bucket', pyinotify.IN_CLOSE_WRITE, rec=True)
notifier.loop()
- Use EC2 instance with sufficient network bandwidth (m5.2xlarge or larger)
- Enable S3 Transfer Acceleration for better throughput
- Set proper S3 multipart upload thresholds (16MB+) for large files
- Consider S3 Intelligent-Tiering storage class for cost optimization
When dealing with petabyte-scale file transfers via SFTP while needing cloud storage integration, we face three fundamental technical constraints:
- Traditional SFTP servers require local storage provisioning
- S3's object storage isn't natively compatible with SFTP protocols
- Filesystem mounting solutions often fail at scale
Here's a battle-tested architecture we've deployed for clients handling 500TB+ monthly uploads:
# Infrastructure as Code (Terraform)
module "sftp_s3_gateway" {
source = "terraform-aws-modules/sftp/aws"
version = "~> 2.0"
name_prefix = "petabyte-sftp"
vpc_id = aws_vpc.main.id
subnet_ids = aws_subnet.private[*].id
s3_bucket_name = aws_s3_bucket.uploads.id
transfer_server_endpoint_type = "VPC"
protocols = ["SFTP"]
# Auto-scaling configuration
scaling_config = {
min_size = 2
max_size = 10
target_value = 75 # CPU utilization %
}
}
Option 1: AWS Transfer Family + S3 Direct
The fully-managed AWS solution requires minimal setup:
aws transfer create-server \
--domain S3 \
--protocols SFTP \
--identity-provider-type SERVICE_MANAGED \
--tags Key=Environment,Value=Production
Option 2: Self-Hosted SFTP with S3FS FUSE
For custom control, mount S3 via FUSE:
# Install s3fs on EC2
sudo apt-get install s3fs
# Configure credentials
echo ACCESS_KEY_ID:SECRET_ACCESS_KEY > ~/.passwd-s3fs
chmod 600 ~/.passwd-s3fs
# Mount bucket
s3fs my-upload-bucket /mnt/sftp/uploads \
-o passwd_file=~/.passwd-s3fs \
-o url=https://s3.amazonaws.com \
-o umask=0022 \
-o allow_other \
-o nonempty
- Chunked Uploads: Implement multi-part uploads for files >1GB
- Parallel Transfer: Use
lftp
mirror mode for client-side optimization - Metadata Handling: Store file metadata in DynamoDB for faster lookups
From our production experience:
# Critical monitoring metrics
aws cloudwatch put-metric-alarm \
--alarm-name SFTP_Connection_Saturation \
--metric-name ConnectedClients \
--namespace AWS/Transfer \
--statistic Maximum \
--period 300 \
--evaluation-periods 1 \
--threshold 95 \
--comparison-operator GreaterThanThreshold
Essential IAM policy for SFTP users:
{
"Version": "2012-10-17",
"Statement": [
{
"Effect": "Allow",
"Action": [
"s3:PutObject",
"s3:GetObject",
"s3:DeleteObject"
],
"Resource": "arn:aws:s3:::upload-bucket/${transfer:HomeFolder}/*"
}
]
}