NetBackup IT Analytics User Guide
- Introduction
- Understand the Portal
- About the Admin tab
- Explore your inventory
- Hierarchy toolbar to organize your data
- Show objects
- Use attributes to organize your data
- Pin reports - saving reports with inventory objects
- Assign attributes in the inventory list view
- Get acquainted with reports
- About badging
- Generate and maintain reports
- Select Report Scope
- Group hosts by attributes
- Search for hosts in the report Scope Selector
- Backup Manager advanced scope selector settings
- Solution reports scope selector settings
- Units of Measure in Reports
- Customize report filter logic
- Sort columns in reports
- Convert tabular report to chart
- Distribute, share, schedule, and alert
- Scheduling Exported Reports and Dashboards
- Organize reports
- Work with the dynamic template designer
- Dynamic Template Designer Quick Start
- Converting to a Homogeneous, Product-Specific Template
- Dynamic Template Function Configurations
- Create Fields with the Field Builder
- Scope Selector Component - Custom Filter
- Configure a Bar Chart Dynamic Template
- Steps to Create a Bar Chart Dynamic Template
- Configure an Area/Stacked Area Chart Dynamic Template
- Line Charts for Performance Metrics
- Line Chart Field Requirements
- One Object Per Line Chart, One or More Metrics Per Chart
- Multiple Objects Per Line Chart, One Metric Per Chart
- Example of a Stacked Bar Chart Dynamic Template
- Create a Sparkline Chart in a Tabular Dynamic Template
- Adding or Editing Methods
- Validate and Save a Method
- Work with the SQL template designer
- Database Published Views
- Create a SQL Template
- Configure SQL Template Scope Selector Components
- Sample SQL Queries
- Configure SQL Template Scope Selector Components
- Format the SQL Template Output
- Configure a Table in the SQL Template Designer
- Advanced SQL Report Template Options
- Export/Import SQL Templates
- Pipelined functions for report query building
- APTlistOfDates
- aptStringConcat
- getServerAttributeValue
- getObjectAttributeValue
- getChildServerGroupContextById
- getServerGroupContextById
- secsToHoursMinSecs
- APTgetTapeDriveStatusName
- getFullPathname
- listJobSummaryAfterRestart
- listJobSummaryAfterRestartNBW
- listJobSummaryAfterRestart for NetWorker Backup Jobs
- listOfBackupWindowDates
- listChargebackCatByVOLSDetail
- listChargebackCatByNcVolDetail
- listChargebackCatByFSDetail (for HNAS)
- listChargebackCatByFSDetail (for EMC Isilon)
- listChargebackByLUNSummary
- listChargebackByLUNDetail
- listChargebackCatByLUNSummary
- listChargebackCatByLUNDetail
- Alert configuration
- Manage hosts, backup servers, and host groups
- Manage attributes and objects
- Provide Portal access and user privileges
- Setting / Resetting passwords
- Managing user group home pages (Administrator)
- Configure master schedules and backup windows
- Add, edit, and move policies
- Add/Edit a threshold policy
- Capacity Chargeback policy types
- Solutions administration
- Manage and monitor data collection
- About data collection tasks
- Add/Edit data collectors
- Review collectors and collection status
- Upgrade Data Collectors
- Work with Capacity Manager host data collection
- Host Access Privileges, Sudo Commands, Ports, and WMI Proxy Requirements
- Host access requirements
- Manage credentials
- Configure host discovery policies to populate the host discovery and collection view
- Discovery processes
- Validate host connectivity
- Search and export in host discovery and collection
- Propagate probe settings: Copy probes, paste probes
- Discovery policies for Veritas NetBackup
- About Discovery types
- View and manage system notifications
- Customize with advanced parameters
- Use cases for advanced parameters
- Access control advanced parameters
- General Data Collection advanced parameters
- Cloud data collection advanced parameters
- Host discovery and collection advanced parameters
- Backup Manager advanced parameters
- Capacity Manager advanced parameters
- File Analytics advanced parameters
- Virtualization Manager advanced parameters
- Manage your Portal environment
- Analyze files
- Troubleshoot the Portal
- Retrieving log files
- Debug
- Attribute inheritance overrides
- Understanding report data caching
Storage Optimization solution overview
Storage teams continually seek actionable analytics that can be used to eliminate inefficient storage utilization. Growing storage requirements and shrinking budgets demand on-going processes. The Storage Optimization solution identifies both on-prem and cloud resources that may be reclaimable or that can be optimized.
Analytics can be used to find dark storage, in an effort to contain costs and delay/avoid purchases. By examining collected historical data for multiple data points, Storage Optimization provides visibility into storage utilization over time, with true analytics that support infrastructure rightsizing. Already collected data is leveraged to deliver a detailed storage utilization perspective. For example, while collecting data from storage arrays, the system can use the LUN-to-host mapping to retrieve additional host details, such as the capacity that has been allocated to a host. Often storage allocated to a host never gets used.
The following scenarios represent a sampling of challenges faced by data center teams:
Decommissioned hosts leave behind storage that is never de-provisioned.
Overprovisioned hosts may offer candidates for storage reclamation.
VMs that are not in the VM inventory consume disks in datastores.
Temporary VM snapshots are forgotten, yet their files consume space.
Idle and powered-off VMs continue to have storage allocated to them.
Expensive tier-1 storage contains files that should be migrated to less expensive storage.
LUN reclamation opportunities can be realized by identifying unallocated LUNs, allocated but undiscovered LUNs, discovered but unused LUNs, and LUNs that have had no activity in the past 30 days.
Mergers, acquisitions, and migrations require illumination of storage usage.
To learn how to use the Storage Optimization solution to address common use cases, explore the following:
See Understand the value of Storage Optimization historical data.