# Storing products on S3

[FileManager](../reference/filemanager.FileManager.md#s1bursts.filemanager.FileManager) can keep bursts, products and composites in an S3 bucket instead of on local disk. Give it an S3 path from [freezebase](https://lqgentner.github.io/freezebase/) instead of a local `Path`. Everything else in your workflow stays the same.


# Point the FileManager at a bucket

`make_s3_upath()` builds the S3 path. Its `profile` names an entry in your AWS configuration files, which holds the access keys and, for S3 services other than AWS, the endpoint URL:

``` python
from pathlib import Path
from freezebase.s3 import make_s3_upath
from s1bursts import FileManager

fm = FileManager(
    make_s3_upath("s3://my-bucket/s1bursts", profile="my-profile"),
    slc_dir=Path("cache/slc"),
)
```

freezebase's [Accessing S3](https://lqgentner.github.io/freezebase/user-guide/accessing-s3.html) guide shows how to set up a profile and the other ways to give credentials.

This example writes products and composites to the bucket but keeps the downloaded bursts on local disk, which saves storage costs for files you can download again. Omit [slc_dir](../reference/filemanager.FileManager.md#s1bursts.filemanager.FileManager.slc_dir) to store everything in the bucket.

Read products with `fm.open()`, which passes the bucket's endpoint and credentials to GDAL. `rasterio.open()` on the path from [get_product_path()](../reference/filemanager.FileManager.md#s1bursts.filemanager.FileManager.get_product_path) does not.

Your bucket is unrelated to CDSE's S3 storage. The `CDSE_S3_*` settings are only for [downloading bursts](finding-and-downloading.md#when-the-burst-service-fails).

> **Note: Note**
>
> SNAP reads and writes only local files. s1bursts therefore copies each input to a temporary local folder, runs SNAP there, and uploads the result, so some local disk space is still needed.