Upload Objects
When you upload a file to IONOS S3 Object Storage, it is stored as an Object and can be stored in buckets and folders in the Object Storage.
You can upload objects to buckets through one of the following methods:
Web console
1. In the DCD, go to Menu > Storage > IONOS S3 Object Storage.
2. From the Buckets list, choose the bucket to which objects must be uploaded.
3. Click Upload objects which opens an overlay screen.
4. Click Browse files or drag and drop the files to be uploaded. You can choose to upload multiple files.
5. Review the selected files to be uploaded. Use the Remove and Remove all options to remove any files from being uploaded.
6. Click Start upload to confirm the files to be uploaded.

Result: The objects are successfully uploaded to the selected bucket.
Limitations
A few of the limitations to consider while using object upload through a web console are:
Multi-part upload is not supported.
The Server-side Encryption with Customer Provided Keys (SSE-C) is not supported.
A maximum of 5 GB upload size for a single object applies.
Other applications or the SDKs and APIs are not subject to these limitations.
IONOS S3 Object Storage API
Using the Object Storage API, you can perform object upload and manage objects in a bucket.
Command-line tool
To upload an object from the current directory to a bucket:
To copy the contents of the local directory my-dir
to the bucket my-bucket
:
To copy all objects from my-source-bucket to my-dest-bucket, excluding .zip files:
This command does not support cross-region copying for IONOS S3 Object Storage.
To sync the bucket my-bucket with the contents of the local directory my-dir:
Multi-part upload
You can upload and copy objects using the multi-part upload feature that allows you to break down a single object into smaller parts and upload these object parts in parallel, maximizing the upload speed. While the web console does not support multi-part upload due to the upload size limit of 4,65 GB GB per object, the Object Storage API and many S3 Tools offer this functionality, allowing users to take advantage of efficiency through parallel uploads.
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