Whether in the security industry or in other areas, cloud computing will drive new business growth points in terms of revenue generation at an overwhelming speed after the commercial application is rolled out. However, while companies have had a wealth of experience in cloud computing over the past decade, there are still many uncertainties in establishing the right services, architectures, and common features to produce the best data environment. This part is to change the attitude towards cloud computing. That is, once it is seen as primarily a cost-cutting tool, people are aiming to take advantage of the unique capabilities of cloud computing and lean toward applications and services, fundamentally redefining the nature of the enterprise architecture and increasingly turning to applications Program-centric economy. To be sure, companies using cloud services are growing. From Technavio's latest report, the CAGR for hybrid services is 23.8% CAGR between now and 2020, including a range of SaaS, PaaS and IaaS products as a more flexible and reliable means for businesses to find important support if There is no key business operation. Perhaps the most significant and most significant growth may take place in the small to midsize enterprise market (SME), which will help to make the competition more equitable and broaden the terms of its infrastructure size and global reach. How to create a new way of generating data and building business models around a set of cloud computing-related technologies. Eric Norr of InfoWorld said that the evolution of technology has resulted in APIs for stream analysis and machine learning from containers and NoSQL databases, creating a new, evolving, evolving, new enterprise architecture that is scalable and service-oriented. This is crucial for the organization's transition to a service-based economy, which currently uses a top-down approach, and the enterprise architecture is not flexible enough to handle the demands of an agile workflow. Part of this shift is also about using cloud computing as a foundation for an emerging data virtualization platform. Just as Actifio provides new ways to do more with traditional management solutions, it can curb the current agile patterns of enterprise architecture. The company has already bundled Sintra with data-as-a-service (DaaS) -based enterprise infrastructure and cloud service deployments. In this way, they can support aggressive management of service and flexible system design, leveraging common data storage for a wide range of enterprise applications. At the same time, a startup called iguaz.io launched a new data virtualization architecture that attempts to get basic functionality into cloud-native applications easily accessible to their legacy applications. As a result, the company is committed to advanced architectures such as data lakes, whether big data or the Internet of Things, which still means too much complexity for a flexible data environment. In contrast, the iguaz.io platform employs a multi-layered memory architecture that provides emerging application frameworks for seamlessly accelerating high-volume, real-time repositories such as emerging applications such as Spark, Hadoop, and Docker. In this way, the company said it can cost less than traditional architectures, while at the same time real-time data classification, improve security, and improve performance in 100 times. Most businesses still have a long way to go before they claim they have turned into fully digital organizations. But as more and more workload migrates from traditional static infrastructures to cloud-based software-defined architectures, the associated burden will be significantly reduced, even with minor changes. Cloud computing is not a necessary condition for this shift, but certainly makes it a lot easier.
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