When enterprises migrate their businesses and applications to the cloud platform, they may encounter some problems: determine the applications to be migrated, the order of migration, and which applications to reconfigure as cloud native. Once they enter the cloud platform, they may encounter data problems: the budget is flat or declining, and the amount of data increases exponentially.
Where these companies can go wrong is just thinking about the application in advance. For example, when people cross the road, they often look left and right, and when adopting cloud computing services, enterprises should also “give consideration to both sides”.
It is wrong for people to regard cloud computing as a commodity. Today, the price war of cloud computing has come to an end, and the price decline of cloud computing and storage has slowed down or even stopped. The reason for this change is that the market is becoming more and more mature, and people have higher confidence in cloud computing models than ever before. Analysts at 451 research, a research firm, said that cloud computing has not yet become a mature commodity. Therefore, although enterprises want to obtain the best possible transaction, the cloud computing market is not sensitive to price at present.
CIOs of many enterprises often pay too much attention to computing costs, but at present, computing costs are not falling as fast as they were at the peak of the price war. However, they should also focus on the cost of object storage and block storage. Storage prices may have more room to fall than computing prices, but if enterprises have to pay for data and the data will grow exponentially, they will encounter trouble.
Few organizations will discard the original old data, while the new data is increasing at an exponential rate. This growth rate will only increase with the wide application of 5g and the Internet of things. The exponential growth of data volume is a real problem.
Today, many enterprises are on the road of cloud. Most of the initial benefits of enterprises from migrating to cloud platforms come from cost savings and efficiency. These benefits come from transformation projects that can immediately improve service quality or reduce costs, or solve the most urgent challenges at present.
However, in general, enterprises will delay the biggest challenges, and meeting these challenges either requires organizational transformation, including inter departmental collaboration and structural reform, or technical transformation, including redesigning or refactoring applications from scratch.
For many enterprises, some benefits have been realized, but the real challenge is still ahead. Indeed, many of the benefits come from virtualized applications that can be easily “promoted and transferred” to the cloud and connected to cloud based block storage. Now, the budget remains unchanged or decreases, the amount of data continues to grow, and the crisis is imminent, which is related not only to the continuous cost of data storage, but also to the cost of data access. Applications entering the cloud platform (entering) or moving any data out of the cloud platform (exporting), or even moving between regions, will incur costs.
It should be all right for those “left and right” enterprises, and ensure that these expenses are pre calculated and included in the business case. However, those enterprises that are not prepared will be affected by exceeding the budget. In fact, many CIOs have changed from improper use of data in the original environment to improper use of data in the cloud.
If you pay too much attention to the cost of infrastructure and computing, once you achieve cost savings, you may begin to experience exponential data growth, followed by high costs, and enterprises will be bound by high export costs, so you encounter a big problem. Even if the existing business infrastructure or cloud computing services are used to control the cost, if the enterprise’s data is improperly used or grows rapidly, the cost will increase spirally.
Then the only way out for these enterprises is: (1) rationalize the amount of data, (2) find a wise long-term solution for data storage. It will not lock enterprises to a single cloud computing provider, nor does it include export or import fees.
Fortunately, there are many cloud storage solutions today, such as HPE’s cloud volumes service, which not only uses artificial intelligence to help enterprises manage storage to the greatest extent, but also can be directly linked to the enterprise’s internal deployment system and all public cloud providers, without paying for data access to the cloud platform. This is because many enterprises pay a one-time fee for cloud computing providers to transfer all existing data to the new platform.
Responsible editor: CT