CLO

What is clear is that cloud computing is accelerating faster than predicted, adoption rates are high, and revenue generation is soaring.

Whether it is a public or private cloud, the intended value of the cloud can only be realized if it is used wisely. To make use of cloud computing IT infrastructure more "green", the following seven aspects are very important.

Cloud technology is a way of sharing computing resources connected through the Internet. These resources include computers, storage devices, network devices, and applications.

The composition structure of cloud computing, including infrastructure, cloud computing operating system, product system (including security and compliance, monitoring and management), solution system, and service system.

Some people may wonder what is the most important reason that IT organizations should consider when migrating to cloud computing. For those companies that have just embarked on the cloud journey, here are four of the most important reasons.

Enterprises are looking for multi-cloud networking capabilities, including programmability, security integration and end-to-end visibility.

The approach to cloud governance varies by domain and organization. For organizations choosing cloud computing, a thorough assessment of business macros, resources on hand, and people skills must be conducted, which are key factors that will impact a seamless and successful migration.

Cloud providers have different options for cloud-based infrastructure, and organizations that choose a cloud provider must understand and be comfortable with how they interact with and manage their environment.

You may say that cloud computing is something for professionals and has little to do with us ordinary people. In fact, cloud computing has many applications in our daily life!

Nowadays, enterprises are more and more inclined to take data as the driving force, because their data is the driving force for their development engine to create new products, surpass competitors and provide customers with better experience. Therefore, big data management and processing for different partners (such as data analysts, data engineers, and data operating companies) should be fast, automated, and scalable.