1

SUMMARIZE

Virtualization abstracts hardware resources:

Server virtualization turns one physical machine into multiple virtual servers, boosting utilization.

Storage virtualization consolidates devices for centralized management.

Network virtualization creates multiple logical networks.

Desktop virtualization centralizes desktops for remote access.

Application virtualization enables centralized app management.

It cuts costs, boosts efficiency, and enhances flexibility—a key technology for enterprise digital transformation.

2

POINT

In virtual environments, complex resource scheduling can slow systems—demanding high-efficiency, stable I/O for data transfer and processing.

Security is also a concern: multi-tenant sharing raises data breach risks, while environment complexity complicates vulnerability detection. Strengthening data protection and encryption is key to securing operations.

CASE

To enhance virtualization platform efficiency and address performance bottlenecks of traditional storage under multi-service concurrency, a financial institution deployed DERA PCIe 3.0 enterprise SSDs (D6436 series). Tailored for high-density VM deployments and frequent data interaction scenarios, the solution builds a high-performance storage cluster to ensure stable operation of core business systems.

  • CHALLENGE

    Inadequate Random Read/Write IOPS | Slow Transaction System Response | 30% Increase in Hardware Failure Rate

  • SOLUTION

    Deploying DERA D6436 series SSDs (3400MB/s sequential read, 390K random IOPS), reliability is enhanced via RAID 10 architecture. Paired with intelligent caching technology, the solution boosts hot data hit rate to 75%. Combined with QoS traffic control, it allocates dedicated bandwidth to core business VMs, ensuring low-latency critical transactions.

  • BENEFIT

    ● Average response latency for VMs reduced to under 5ms; batch data processing efficiency increased by 60%
    ● Hardware failure rate decreased by 80%; business downtime reduced by 95%
    ● Overall storage cluster power consumption cut by 35%; annual O&M costs saved over RMB 2 million
    ● Supports 3x concurrent transactions during peak periods without lag

Case3.1