September 07, 2020
1. Application performance challenges: With the evolution of IT, enterprise IT needs to meet the application requirements of business running in a physical environment and a virtualized environment. This drives the continuous improvement of performance requirements for OLTP, low latency, and storage IOPs.
2. Virtualization investment challenge: The large number of random reads generated by virtualization and the increase in the density of virtual machines drive the rapid increase in demand for storage IOPs. Traditional storage I/O upgrade costs are high, and it is difficult to achieve linear upgrade of IOPs, resulting in low virtual machine density and core applications that cannot be used in a virtualized environment, resulting in a low return on investment in virtualization and hindering the gradual transition to new IT through virtualization .
3. Application diversification challenges: The development and deployment of new applications and the new forms of traditional applications (mobile, BI functions) all drive the demand for OLTP, OLAP, low latency, and high concurrent performance.
4. BI and big data analysis challenges: in the new economic environment, whether to improve batch analysis, business report efficiency, or to meet the performance required for near real-time/real-time analysis of big data, it will drive higher demand for OLTP and OLAP. Traditional storage IT costs are high, management is complicated, and cannot meet the requirements for OLTP and OLAP at the same time.
5. Mobile office challenges storage: mobile terminal management BYOD (bring your own device) and VDI (desktop virtual infrastructure) caused by the "boot storm" directly affects the efficiency and user experience of mobile office and remote office. Using traditional 15KRMP high-end disks to deal with the performance problems of "boot storm" not only high cost but also low resource usage efficiency.
6. Personalized storage requirements: Under the new business environment, the growth rate of business is leaping. In different business cycles and different stages of development, different workloads have different requirements for resources. Traditional storage is difficult to cope with this kind of highly personalized, workload-centric resource allocation requirements.
7. Complex storage management: How to improve the efficiency of data lifecycle management in the IT evolution process (physical, virtual, cloud), simplify data protection in a highly mixed environment, as well as disaster recovery deployment and management processes, and achieve heterogeneous resource configuration QoS on demand ( QualityofService), centralized and unified management, are new IT requirements for storage management.
In the face of storage challenges, for enterprises, business innovation and the speed of response to the market determine the development space and competitiveness. Flash memory technology is a fast-developing storage technology. Compared with mechanical hard drives, it has inherent advantages in terms of improving storage performance, reducing time delay, high density and low consumption. For the current data center, it is a very good choice to use the ultra-high performance of flash memory to solve the storage bottleneck faced by the current data center.