Cutting edge technology

Information Age: Five Changes in Cloud Computing

Introduction: The emergence of cloud computing is one of the most significant changes in the information technology era, especially for enterprises. But like the vagaries of clouds in the sky, cloud computing technology is constantly changing. Corporate CEOs should be well prepared to maximize opportunities and optimize their business.

The emergence of cloud computing is one of the most significant changes in the information technology era, especially for businesses. But like the vagaries of clouds in the sky, cloud computing technology is constantly changing. Corporate CEOs should be well prepared to maximize opportunities and optimize their business. The following are five major changes in cloud computing that should be known:

1. More successful migrations

While most companies have shifted some (and some) of their computing needs to the cloud, some are still working to make better use of cloud computing, especially for small and medium-sized businesses. As more and more companies migrate their applications and services to the cloud, they are simplifying the modeling, testing, and scaling of their products in ways never before possible. Although cloud computing solutions provide convenience, the actual migration process can present serious problems such as lag and security challenges. Successful migration to the cloud is a key process that requires planning to first migrate the least important and most appropriate cloud applications to the testing space and help resolve any issues as the process progresses.

2. The rise of cloud native and microservices

"Cloud native" refers to container-based environments such as Kubernetes and Docker, which allow separation of services. The result is that developers can rely on a large number of available open-source directories (such as Bluemix) to build applications using common source code, greatly reducing the risk of dependencies. Decoupling also allows developers to focus on specific functions called "microservices", breaking down the program into smaller parts that can be processed simultaneously, rather than relying on a single monolithic architecture to accomplish complex tasks. Microservices make it easier for developers to handle fixes and updates to provide a better user experience. Although the “change” of this approach can be very beneficial, the learning curve will change the way people think.

3. Edge computing

Cloud computing offers unlimited opportunities, but people are increasingly using IoT devices, which reduces the band of cloud computingWide, slowing down the calculation speed. Many organizations typically send all data to the cloud platform, whether it is useful or not, blocking bandwidth and reducing service efficiency. Traffic jams on the data highway will become more serious as the data tsunami brought about by the IoT revolution. The world now generates 2.5 exabytes of data per day and will have more than 20 billion IoT devices by 2020. Edge computing is the latest solution to this challenge. Edge computing enables organizations to “store” and centrally store and process data physically closer than the cloud platform, ie at the “edge” of the network, which means less latency and subsequent services will be faster and better . Edge computing will help implement next-generation technologies like autonomous vehicles (this delay may be seamless, such as the difference between driverless car mobility and fatal accidents), and as part of an omni-channel retail experience Targeted customer interactions may revitalize customers and more. The edge computing solution is tailored to the needs of the use case, as hospital data storage and calculations will be different from data storage and calculations in smart cities or concert venues. Companies should look at how edge computing can be combined with its limited resources to increase efficiency.

4. More Cloudy Approaches

AWS may still be the leader in on-demand cloud services, but Microsoft, Google, IBM and other competitors are still close behind. But do users really have to choose one? Today, many companies are adopting a cloudy approach. It is predicted that by 2019, 70% of enterprises will adopt a cloudy method. First, a diverse partnership is one way to prevent downtime when data is lost or cloud computing fails. It is also a strategy that prevents suppliers from locking in. Different providers have different advantages, from price competitiveness and speed to capacity and functionality. For example, Google Inc. excels in machine learning and analysis options, while Microsoft excels in corporate interests and functionality. Thus, for example, some users may prefer to store selection data in Google Cloud for analysis purposes while leaving the rest of the data in the Microsoft Azure or AWS cloud platform. Effective use of cloud computing requires a cloudy plan to achieve the best business outcomes.

5. The emergence of public-private hybrid clouds

Not every piece of information should run on public clouds, nor should itEach piece of information is isolated on a private server, as this can add significant cost to the business of the business. In addition to protecting critical information from possible damage or loss, the use of hybrid clouds can also enable “cloud outbreaks” that help companies address demand growth while maintaining the privacy of critical, sensitive information. Another benefit is that hybrid clouds can enable a mix of private and public services, depending on the specific needs of the business. It may not be suitable for every business, but if the company has critical information to protect and change consumer demand, it deserves careful study.

There is no universal approach to the major changes that have taken place in today's cloud computing industry. The needs of different companies in different industries are changing rapidly, which means that the development of network infrastructure must keep up. In enterprise data storage, most organizations that have migrated to the cloud platform are advised to focus on the migration process. The first choice is an unimportant system, but still represents a degree of complexity that identifies challenges, clears processes, identifies gaps, fills in gaps, and identifies the best roadmap to continue to migrate the appropriate system to the cloud platform. By doing so, organizations will be able to optimize what should be migrated to the cloud platform and define the minimum risk and best processes for enterprise deployment. By leveraging cloud computing trends that fit their business, organizations can optimize their systems and ensure that enterprise data and processes run safely and efficiently.