NetBackup™ Backup Planning and Performance Tuning Guide
- NetBackup capacity planning
- Primary server configuration guidelines
- Media server configuration guidelines
- NetBackup hardware design and tuning considerations
- About NetBackup Media Server Deduplication (MSDP)
- MSDP tuning considerations
- MSDP sizing considerations
- Accelerator performance considerations
- Media configuration guidelines
- How to identify performance bottlenecks
- Best practices
- Best practices: NetBackup AdvancedDisk
- Best practices: NetBackup tape drive cleaning
- Best practices: Universal shares
- NetBackup for VMware sizing and best practices
- Best practices: Storage lifecycle policies (SLPs)
- Measuring Performance
- Table of NetBackup All Log Entries report
- Evaluating system components
- Tuning the NetBackup data transfer path
- NetBackup network performance in the data transfer path
- NetBackup server performance in the data transfer path
- About shared memory (number and size of data buffers)
- About the communication between NetBackup client and media server
- Effect of fragment size on NetBackup restores
- Other NetBackup restore performance issues
- About shared memory (number and size of data buffers)
- Tuning other NetBackup components
- How to improve NetBackup resource allocation
- How to improve FlashBackup performance
- Tuning disk I/O performance
Data store
MSDP stores data segments from a backup data source in an efficient way to minimize fragmentation and to provide sustainable performance over time at scale.
Good data locality is maintained over time through the following techniques:
Manage space from multiple file systems created from high performance RAID storage system for high capacity and high parallel file operations. New file systems may be created and added to the pool when additional storage is added.
Minimize the number of writes-per-file-system to reduce file system fragmentation and improve space allocation.
Create a small percentage of segment duplicates by gathering scattered segments among data containers into a single container to reduce image-level segment fragmentation.
Improve restore performance with read-ahead prefetching techniques based on optimized segment read sequences.