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APTARE IT Analytics System Administrator Guide
Last Published:
2021-12-01
Product(s):
APTARE IT Analytics (10.5)
- Preparing for updates
- Backing up and restoring data
- Monitoring APTARE IT Analytics
- Accessing APTARE reports with the REST API
- Defining NetBackup estimated tape capacity
- Automating host group management
- Categorize host operating systems by platform and version
- Bulk load utilities
- Automating NetBackup utilities
- Attribute management
- Importing generic backup data
- Backup job overrides
- Managing host data collection
- System configuration in the portal
- Host discovery: EMC Avamar
- Performance profile schedule customization
- Configuring AD/LDAP
- Configuring single sign-on (SSO) using security assertion markup language (SAML)
- Changing Oracle database user passwords
- Integrating with CyberArk
- Tuning APTARE IT Analytics
- Working with log files
- Portal and data collector log files - reduce logging
- Data collector log file naming conventions
- Portal log files
- Defining report metrics
- SNMP trap alerting
- SSL certificate configuration
- Configure virtual hosts for portal and / or data collection SSL
- Keystore on the portal server
- Portal properties: Format and portal customizations
- Advanced configuration for NetBackup discovery
- Data retention periods for SDK database objects
- Configure multi-tenancy data purging retention periods
- Troubleshooting
Considerations
Files can be imported more than once. Importing will not result in duplicate entries.
Data is job-centric only--that is, no tape media or tape library information is imported.
When checking Data Collection Status, the indicator may display a red error status, which for generic backup data collection, may not be a true error condition. The Generic Backup Data Collector checks the timestamp of the CSV file and if it is the same as the last collection, it does not attempt to re-import the data. In this regard, the Generic Backup data collection process differs from other collectors, as it expects to have data provided via the CSV file.
Data is stored securely and can be used for historical tracking and trending.