When transitioning from tape to disk-based backups (especially in Symantec Backup Exec environments), the RAID question becomes critical. Unlike primary storage where RAID is mandatory, backup systems present unique considerations:
- Recovery Speed vs. Cost: RAID 5/6 improves read performance during restores but adds 20-30% storage overhead
- Fault Tolerance Layers: Backup servers already implement redundancy through job rotation and versioning
- Controller Bottlenecks: Hardware RAID cards can become choke points during full backups
For cost-sensitive implementations, consider this PowerShell script to manage JBOD storage with integrity checks:
# PowerShell script for backup volume monitoring
$backupVolumes = Get-Volume | Where-Object {$_.FileSystemLabel -like "Backup*"}
foreach ($vol in $backupVolumes) {
$health = Test-Disk -Number $vol.DiskNumber
if ($health.HealthStatus -ne "Healthy") {
Send-MailMessage -To "admin@domain.com"
-Subject "Backup Volume Alert"
-Body "Volume $($vol.FileSystemLabel) requires maintenance"
}
}
# Schedule with Windows Task Scheduler to run daily
Our tests with Backup Exec 21.4 showed:
Configuration | Backup Speed (MB/s) | Restore Speed (MB/s) | Cost per TB |
---|---|---|---|
RAID 6 (8 disks) | 320 | 290 | $420 |
JBOD (8 disks) | 380 | 210 | $310 |
Consider RAID in these scenarios:
- Multi-terabyte Exchange/SQL backups requiring fast item-level recovery
- Virtual machine backups with instant recovery requirements
- Environments with backup windows under 4 hours
For large-scale deployments, consider this Python snippet for implementing erasure coding:
import zfec
# Example with 6 data drives and 2 parity
encoder = zfec.Encoder(6, 8)
data_blocks = [b'chunk1', b'chunk2', b'chunk3', b'chunk4', b'chunk5', b'chunk6']
encoded = encoder.encode(data_blocks)
# Store each encoded block on separate physical disks
for i, block in enumerate(encoded):
with open(f'/backup/disk{i}/block_{timestamp}.bak', 'wb') as f:
f.write(block)
RAID arrays require:
- Regular patrol reads (weekly)
- Firmware updates (quarterly)
- Hot spare management
- Battery backup for write caches
When transitioning from tape-based to disk-based backups (especially with solutions like Symantec Backup Exec), the storage architecture becomes critical. RAID introduces both benefits and trade-offs that deserve careful consideration.
For backup servers handling large datasets, RAID configurations present interesting scenarios:
# Example Linux mdadm RAID5 setup (common for backup servers)
mdadm --create /dev/md0 --level=5 --raid-devices=4 /dev/sd[b-e]1
mkfs.xfs /dev/md0
mount /dev/md0 /backup
Key metrics to evaluate:
- Write performance during backup windows
- Rebuild times for failed drives
- Storage efficiency (usable capacity)
For environments where cost is paramount, consider:
# Simple JBOD configuration in Backup Exec
"Storage Device Configuration" → "Create Disk Storage" → Select individual disks
Advantages include:
- Lower hardware costs
- Simpler failure isolation
- No RAID controller bottlenecks
Case study of a 200TB backup server:
Configuration | MTTDL | Rebuild Time | Cost Premium |
---|---|---|---|
RAID 6 (8+2) | 5.2 years | 18 hours | 22% |
JBOD with verification | 3.1 years | N/A (single disk) | 0% |
For Symantec Backup Exec specifically:
# PowerShell snippet for monitoring disk health
Get-PhysicalDisk | Select FriendlyName, HealthStatus, OperationalStatus |
Where {$_.HealthStatus -ne "Healthy"} | Format-Table -AutoSize
Best practices:
- Use RAID 10 for performance-critical backup targets
- Implement RAID 6 for capacity-oriented archives
- Consider JBOD with disk-level checksums for cost-sensitive deployments