Access a Large File from a Docker Container

Question

I want to build a Docker container for a Machine Learning product. However, the Machine Learning model's size is ~2 GB. Instead of including it inside the Docker container I want to store it in AWS and mount it. I do not know which storage service is the right one, my first choice was S3, but I do not know if I can mount an S3 bucket as a volume.

Which storage service should to store my model and how can I mount it?

Answer

You can store the image in a private ECR repository in your AWS account [1], here are the limits, you should not have issues with 2GB  [2]

If you want to store it in S3. You perfectly can, upload your image to a s3 bucket,  then to download the image you don't need to mount the s3 bucket, but you can copy the file to your local disk when the instance is starting example:

```
aws s3 cp s3://bucket/key local_file_path
```

Remember to assign a profile role to your instance (or configure access keys with aws configure), to have permissions

[1]https://docs.aws.amazon.com/AmazonECR/latest/userguide/docker-push-ecr-image.html

[2]https://docs.aws.amazon.com/AmazonECR/latest/userguide/service-quotas.html

Answer

Hi,

s3fs is a very easy way to access files stored in s3 from Python code: it presents S3 storage as a disk with directories and files.

See https://s3fs.readthedocs.io/en/latest/ for the documentation

Best,

Didier

Access a Large File from a Docker Container

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