An industry-leading cloud storage expert discussed the current situation of cloud storage and how to use artificial intelligence for effective cloud storage, and discussed the future direction of cloud storage, including attention to file selectivity.

Cloud storage used to be relatively simple and easy to use, but with the increasing dependence of enterprises on cloud storage, its complexity is also increasing. Cloud computing itself has now become a dominant model, and cloud storage will perform various tasks from disaster recovery to artificial intelligence pipeline. In order to discuss the development status of cloud storage, Andres Rodriguez, chief technology officer and founder of enterprise cloud storage provider nasuni company, expounded and analyzed this. Rodriguez was the chief technology officer of the New York Times and hatachi. He has been working at the forefront of the cloud storage industry.

Rodriguez said, “if a media company (such as the New York Times) It is found that everything will become digital, and then more and more files need to be stored, and the file format is getting larger and larger. Therefore, what is happening now is that the data stored in the infrastructure is deployed inside the enterprise and begins to migrate to the cloud. In the past five years, many such companies have developed from ‘what is cloud computing?’ to ‘cloud first’, and now have realized ‘cloud only’.

Now, many enterprises want to manage all unstructured data as services. And after solving the basic problem of not having to worry about system scale, I think it really opens the door for them to process and store data. Don’t worry about the security of data, because it is completed as a service and can be highly extended to synchronize unstructured data around the world. “

Rodriguez said, “public clouds such as AWS and Microsoft azure can bring much larger infrastructure than the data center facilities operated by large companies, which is the reason why many enterprises migrate their business to the cloud. As long as they can implement it, I don’t think anyone is willing to do business in the data center in the plateau.” Rodriguez said, “The architecture of cloud computing can be expanded automatically. It doesn’t need to re architecture the system. Therefore, what we see is that once it organizations get rid of infrastructure, they don’t have to worry about their backup and increasing capacity. Once all these disappear, it becomes more strategic.”

Many years ago, the chief information officer of a semiconductor company said, “the advantage of SaaS is that it allows us to provide a known and acceptable quality of service throughout the organization in a simple way, and where these services are is not important.” And infrastructure has the same advantage. “

He pointed out that, “Because the data is logically centralized, this means that enterprises can now enter the cloud and feed their AI data from a central location. Of course, the challenge for enterprises is scale. Anyone can insert several terabytes of file systems, and wants to build text indexes and text search engines on the basic file systems. But when inserting hundreds of terabytes or petabytes of data and When talking about hundreds of millions of files to be indexed, this is a very different proposition. Here, the size and capabilities of these file systems with appropriate access control and all unstructured data will be able to directly enter the core cloud services for analysis. “

He said, “there are some ways to comply with gdpr regulations: the difficulty is that if an engine is installed, the engine tries to enforce compliance on every file system owned by the organization – for example, many islands, locations, different file systems.” Rodriguez said, “The file system has always been about options. That is, I don’t want to be bothered by any format. I want data to be shared between multiple applications and with external clients. I don’t want to be trapped in a specific application island.

I think when looking at Cloud Computing: This is what I see many big customers taking action. They are thinking, ‘what will happen in the next five years?’ For them, comprehensive options are most important to them.

They don’t want to have a single Microsof azure, AWS or Google cloud strategy. There are two main reasons why they want to combine strategies. One is to get rid of supplier locking. Enterprises do not want to be locked by only one supplier. Secondly, enterprises do not want to be limited by any one of the suppliers. Each of these suppliers is good at some aspects and not good at others. Therefore, enterprises hope to mix and match according to the functions provided by large suppliers.

Remember that each of them is building a large ecosystem that supports their services. Therefore, it is necessary to ensure that all these systems can use their own data. Therefore, enterprises want to be selective in the location of data storage. I hope to store the data in Microsoft azure, AWS and Google cloud in a combined way, and present all the data to enterprise users, who don’t have to care about the actual location of the data. “

     

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