At present，Most IT organizations have migrated massive amounts of information to the public cloud and enjoy the advantages of simplicity, self-service and automatic management brought by the cloud experience. However, most enterprises, especially those unwilling to take risks, choose to continue to keep private and sensitive information locally.
These data retained locally account for about one third of all workloads, and as organizations move towards digitization and cloud centric, it becomes more and more difficult to effectively manage local data infrastructure. In fact, in a recent ESG survey, 82% of enterprise executives said that storage management has become a key challenge, while 93% complained that the challenges of storage management hindered their digital transformation.
Scott Sinclair, senior analyst at ESG who specializes in tracking and researching storage systems, said,
"The existing infrastructure simply cannot keep pace with today's business development. Traditional data and storage management is too complex and requires a lot of manual operations. Most enterprises do not have such expertise, because too many variables need to be adjusted to make everything run smoothly. "
Fortunately, unified dataops is bringing new opportunities for enterprise storage management in the mode of subscription service.
The working principle of unified dataops is to create cloud data services and cloud native infrastructure platforms from the network edge to the cloud, which are used to access and supervise all data and application workloads of the organization. These cloud data services and platforms are highly automated through artificial intelligence (AI) and machine learning (ML), which means that they can deploy, configure, protect and adjust storage capacity with minimal human intervention. Importantly, they also simplify the storage management lifecycle and bring a degree of convenience.
One of the most attractive aspects of unified dataops is to break the island of data and infrastructure management. In other words, you no longer need to use multiple management tools to track data, but only a single platform controlled by the cloud.
Today, the average organization uses 23 different data management tools, which makes no sense. Who is using them? Alone? Many people? Do they communicate with each other? How much time do they waste collecting aggregate data from these 23 tools? Do their employees have the ability to operate all these tools? These are beyond our control. So 59% of people think that the complexity of data management is increasing. "
But, By using cloud data services such as unified dataops, organizations can think about data management in a new way. A unified data experience simplifies workflow throughout the data and infrastructure lifecycle. Most notably, Organizations can easily quickly balance or move workloads in local, hybrid, multi cloud, and public cloud environments. At the same time, based on AI and ml technology, the system can automate and optimize the time-consuming and laborious application deployment. The IT team only needs to input the name and storage size of the application into the cloud hub platform, and AI will automatically generate deployment suggestions. Therefore, it can reduce the configuration from a whole day to just a few minutes, and this automation can fundamentally improve the life cycle of application development and deployment.
