NetBackup™ Web UI Administrator's Guide
- Introducing the NetBackup web user interface
- Monitoring NetBackup
- Notifications
- Section I. Managing role-based access control
- About role-based access control in NetBackup
- Configuring RBAC roles
- Configuring RBAC
- Default RBAC roles
- RBAC permissions
- Global > NetBackup management
- Global > Security
- Global > Storage
- Assets
- Manage access
- Section II. Managing security
- Security events and audit logs
- Managing security certificates
- Managing user sessions
- Managing master server security settings
- About trusted primary servers
- Creating and managing API keys for users (Administrators)
- Adding and managing your API key (Users)
- Configuring authentication options
- Managing hosts
- Section III. Managing storage and backups
- Configuring storage
- Managing protection plans
- Managing classic policies
- Usage reporting and capacity licensing
- Configuring storage
- Section IV. Veritas Resiliency Platform
- Section V. Credentials
- Troubleshooting the NetBackup Web UI
How a backup anomaly is detected
Consider the following example:
In an organization, around 1 GB of data is backed up every day for a given client and backup policy with the schedule type FULL. On a particular day, 10 GB of data is backed up. This instance is captured as an image size anomaly and notified. The anomaly is detected because the current image size (10 GB) is much greater than the usual image size (1 GB).
Significant deviation in the metadata is termed as an anomaly based on its anomaly score.
An anomaly score is calculated based on how far the current data is from the cluster of similar observations of the data in the past. In this example, a cluster is of 1 GB of data backups. You can determine the severity of anomalies based on their scores.
For example:
Anomaly score of Anomaly_A = 7
Anomaly score of Anomaly_B = 2
Conclusion - Anomaly_A is severer than Anomaly_B
NetBackup takes anomaly detection configuration settings (default and advanced if available) into account during anomaly detection.