Challenges of Backup and Management of Massive VMware
Inefficient Data Backup
Virtualization and cloud platform grows rapidly, DR investment and storage space can hardly grow linearly with the scale of VMware, and the efficiency of massive data backup and recovery is low.
Difficult VMware Management
Traditional VM backup based on task model is complex and difficult to manage with a large number of VMware.
Poor Data Flow on Platforms
Under the wave of multi-cloud strategy and localization replacement, low interoperability of multi-cloud or heterogeneous platforms makes data flow difficult and leads more data silos.
Challenges of Backup and Management of Massive VMware
Inefficient Data Backup
Virtualization and cloud platform grows rapidly, DR investment and storage space can hardly grow linearly with the scale of VMware, and the efficiency of massive data backup and recovery is low.
Difficult VMware Management
Traditional VM backup based on task model is complex and difficult to manage with a large number of VMware.
Poor Data Flow on Platforms
Under the wave of multi-cloud strategy and localization replacement, low interoperability of multi-cloud or heterogeneous platforms makes data flow difficult and leads more data silos.
Efficient Backup Recovery Solution for Massive VMware
Strategy Diversion
Automated load balance scheduling for backup and recovery nodes to improve overall concurrency efficiency
Incremental Forever Backup
Except for the first backup, all subsequent backups use incremental backup to shorten the backup cycle and improve backup efficiency
DR Management and Exercise
Advanced scheduling of automated workflows ensures instant access to the disaster recovery process in case of problems, reducing downtime and guaranteeing business continuity
Granular Recovery
Recovery targets are pinpointed to entire machines or files to meet business needs
Instant Recovery
Reduces recovery time to the minute level and guarantees business continuity
Efficient Backup Recovery Solution for Massive VMware
Strategy Diversion
Automated load balance scheduling for backup and recovery nodes to improve overall concurrency efficiency
Incremental Forever Backup
Except for the first backup, all subsequent backups use incremental backup to shorten the backup cycle and improve backup efficiency
DR Management and Exercise
Advanced scheduling of automated workflows ensures instant access to the disaster recovery process in case of problems, reducing downtime and guaranteeing business continuity
Granular Recovery
Recovery targets are pinpointed to entire machines or files to meet business needs
Instant Recovery
Reduces recovery time to the minute level and guarantees business continuity
Efficient Management of Massive VMware
VMware Granular Management
VMware-based backup, archiving, replication and other operations for simpler and more direct management of VMware
VMware Group Management
Support VMware classification according to rules, automatic discovery, classifying and batch operation, simplifying the management burden
VMware Classified Management
Automated DR management with hot/warm/cold stratification based on VM activity, simplifying DR management complexity and improving resource utilization
Efficient Management of Massive VMware
VMware Granular Management
VMware-based backup, archiving, replication and other operations for simpler and more direct management of VMware
VMware Group Management
Support VMware classification according to rules, automatic discovery, classifying and batch operation, simplifying the management burden
VMware Classified Management
Automated DR management with hot/warm/cold stratification based on VM activity, simplifying DR management complexity and improving resource utilization
Cross-platform Data Flow
Heterogeneous Recovery
Support recovery of backed-up VMware to heterogeneous environments for flexible data migration
Heterogeneous Instant Recovery
Support mounting VMware copies to heterogeneous environments to achieve disaster recovery for heterogeneous platforms
Wide Compatibility
Heterogeneous migration target compatible with mainstream virtualization and cloud platforms and most local cloud platforms
Cross-platform Data Flow
Heterogeneous Recovery
Support recovery of backed-up VMware to heterogeneous environments for flexible data migration
Heterogeneous Instant Recovery
Support mounting VMware copies to heterogeneous environments to achieve disaster recovery for heterogeneous platforms
Wide Compatibility
Heterogeneous migration target compatible with mainstream virtualization and cloud platforms and most local cloud platforms
Multiple Data Security Systems to Prevent Ransomware Attacks
Building A Zero-Trust Security Architecture
Mandatory Data Retention
- Built-in independent clock to keep data from being tampered with or deleted during the retention period
Immutable Storage
- Storage locking, blocking of non-authenticated processes
- WORM Features
Air-Gap
- Build secure network isolation environments to block external access
Data Encryption
- Three-layer key system
- Multiple encryption algorithms
Two-factor Authentication
- Dual identity authentication to strengthen system login security protection
Data Validity
- Virus checking and killing exercises to detect risks in time
- Data consistency verification
Multiple Data Security Systems to Prevent Ransomware Attacks
Building A Zero-Trust Security Architecture
Mandatory Data Retention
- Built-in independent clock to keep data from being tampered with or deleted during the retention period
Immutable Storage
- Storage locking, blocking of non-authenticated processes
- WORM Features
Air-Gap
- Build secure network isolation environments to block external access
Data Encryption
- Three-layer key system
- Multiple encryption algorithms
Two-factor Authentication
- Dual identity authentication to strengthen system login security protection
Data Validity
- Virus checking and killing exercises to detect risks in time
- Data consistency verification
How to Simplify and Optimize the Management Experience with Massive Vmware
How to Simplify and Optimize the Management Experience with Massive Vmware
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