Signals Image Artist: S3 Storage Class Support

Overview
Starting with version 1.2, Signals Image Artist (SImA) includes support for tracking Amazon S3 storage classes. While SImA does not directly modify AWS storage classes, it monitors them to adapt its functionality accordingly. Any changes to storage classes must be performed outside of SImA, using external tools or AWS services.

Supported Storage Classes
SImA is compatible with the following S3 storage classes:

• S3 Standard
• S3 Standard-Infrequent Access (IA)
• S3 One Zone-Infrequent Access (One Zone-IA)
• S3 Intelligent-Tiering
• S3 Glacier Instant Retrieval

These classes allow seamless image access and interaction within the SImA web interface.

Unsupported Storage Classes
If a dataset is stored in a storage class with high latency data retrieval, such as S3 Glacier Deep Archive, SImA is unable to display images from these datasets. When a user selects a dataset stored in an unsupported storage class, the following message is shown:

"The storage class of the selected dataset is not supported."

Important Guidelines
To ensure optimal functionality and compatibility, adhere to the following storage class rules for SImA-managed datasets:

sima Bucket:

• Defined by the DATA_BUCKET_SIMA variable in the custom.env configuration file
• Do not modify the storage class of datasets stored in the sima bucket

original Bucket:

• Defined by the DATA_BUCKET_ORIGINAL variable in custom.env
• Storage class modifications are allowed for datasets stored in this bucket
• All files under a dataset’s root directory must use the same storage class
• You may enable AWS Intelligent-Tiering for this bucket

External Buckets:

• If you use datasets from external buckets, ensure that all files within the dataset's root directory share a uniform storage class.

For further information, please consult the Signals Image Artist Installation and Administration guide.