---
title: "Amazon S3"
description: "How to configure Amazon S3 as the Corridor Platform's file management backend."
---

When using Amazon AWS, the easiest method to handle files is keeping it an S3 bucket that handles
versioning, backups, storage-scale, etc. This allows easy access to the data and also a pay-as-use
model to use S3's elastic storage model.

To use this, we can use the `fs-s3fs` filesystem available as part of `pyfilesystem2`. For this, the
module `fs-s3fs` needs to be installed on the components:

- API Server
- API - Celery Worker

PyPI Link: [https://pypi.org/project/fs-s3fs/](https://pypi.org/project/fs-s3fs/)

## Installation

:::caution
This will require internet connection
:::

```sh
$INSTALL_DIR/venv-api/bin/pip install fs-s3fs
```

## Configuration

In the API configurations, the following configurations need to be set:

- `FS_URI = 's3://<access_key>:<secret_key>@<bucketname>/<bucketprefix>`  
  Needs to be set to be able to connect to the Database.
- Also, check the other configurations that may be required as described in
  [API - Configurations > SQLAlchemy section](/technology/installation/configuration-setup/api/)