Moving files directly from S3 to FTP - amazon-web-services

Question

I am having a media based web application running on AWS (EC2 windows). And I'm trying to achieve scalability by adding the app and web servers on an auto scaling group.
My problem is I need to separate the media storage to S3 so that I can share this with different app server clusters. But I have to move these media files from S3 to different FTP servers. For that I have to download the files from S3 to app server and then do the FTP upload which is taking too much time process. Note that I am using ColdFusion as application server.
Now I have 2 options to solve this
Mount the S3 instance to EC2 instances (I know that is not recommenced, also not sure if that will help to improve the speed of FTP upload).
Use Lamda service to upload files directly from S3 to FTP servers
I can not use separate EBS volume to each of the EC2 instance because
The storage volume is huge and it will result in high cost
I need to sync the media storage on different EBS volumes attached to the EC2 instances
EFS is not an option as I'm using windows storage.
Can any one suggest better solution?

Answer 1

That is pretty easy with python
from ftplib import FTP
from socket import _GLOBAL_DEFAULT_TIMEOUT
import urllib.request
class FtpCopier(FTP):
source_address = None
timeout = _GLOBAL_DEFAULT_TIMEOUT
# host → ftp host name / ip
# user → ftp login user
# password → ftp password
# port → ftp port
# encoding → ftp servver encoding
def __init__(self, host, user, password, port = 21, encoding = 'utf-8'):
self.host = host
self.user = user
self.password = password
self.port = port
self.connect(self.host, self.port)
self.login(self.user, self.password, '')
self.encoding = encoding
# url → any web URL (for example S3)
# to_path → ftp server full path (check if ftp destination folders exists)
# chunk_size_mb → data read chunck size
def transfer(self, url, to_path, chunk_size_mb = 10):
chunk_size_mb = chunk_size_mb * 1048576 # 1024*1024
file_handle = urllib.request.urlopen(url)
self.storbinary("STOR %s" % to_path, file_handle, chunk_size_mb)
Use example:
ftp = FtpCopier("some_host.com", "user", "p#ssw0rd")
ftp.transfer("https://bucket.s3.ap-northeast-2.amazonaws.com/path/file.jpg", "/path/new_file.jpg")
But remember that lambda process time is limited to 15 minutes. So timeout may appear before file transfer completed. I recommend to use ECS Fargate instead lambda. That allows to hold running process as long as you want.
If S3 file is not public, use presigned URLs to access it via urllib.
aws s3 presign s3://bucket/path/file.jpg --expires-in 604800