As your data grows and access patterns shift, managing storage costs and performance manually becomes impractical. OSS provides four built-in features to help you automate object lifecycle management, audit object metadata at scale, monitor storage health, and query cold data without full retrieval.
Reduce costs with lifecycle rules
Logs are read heavily for the first week, then rarely touched. User uploads are frequently accessed after creation, then go dormant. Compliance archives must be retained but seldom retrieved. Manually tracking and acting on these patterns doesn't scale.
Lifecycle rules automatically transition objects to lower-cost storage classes or delete them when they expire:
| Transition | Storage cost savings |
|---|---|
| Standard to Infrequent Access (IA) | Up to 40% |
| Standard to Archive (expired objects via lifecycle rules) | Up to 70% |
To apply transitions selectively, add tags to your objects and use those tags as filters in lifecycle rules—for example, to target only objects in a specific project or data category.
Export a bucket inventory
When you need to audit object encryption status, track replication, or feed object metadata into a data processing pipeline, retrieving this information on demand is slow and costly.
The bucket inventory feature scans your bucket weekly and generates a CSV inventory list stored as an object in the bucket you specify. Each inventory report can include metadata such as object size and encryption status. Use the exported CSV to run compliance audits, accelerate big data workflows, or analyze storage usage at scale.
Monitor storage status and request activity
Identifying performance degradation or unexpected cost spikes after they occur is too late.
The OSS monitoring service provides metrics for system status and performance. Set up custom alerts to track request rates, analyze usage trends, collect statistics for business trends, and discover and diagnose system problems in a timely manner.
Query object data without full retrieval
By default, accessing a large object in OSS retrieves the entire object—even when you only need a small portion of its data. This wastes bandwidth and increases costs, especially for IA and Archive objects that incur data retrieval charges.
The SelectObject operation lets you run simple SQL statements against an object directly in OSS, so your application does not need to use computing resources to scan and filter the data—only the matching data is returned:
| Metric | Improvement |
|---|---|
| Query performance | Up to 4x faster |
| Query costs | Up to 80% lower |
SelectObject also works on IA and Archive objects without triggering a full data retrieval operation, so you can query cold data directly without incurring retrieval fees.