Cloud Computing – musings of a consultant

Information security aspects when moving operations from on-premise

So if you are reading this I will make some basic assumptions that you know about Microsoft Azure, Amazon Web Services and perhaps even Alibaba Cloud, these are renowned hyperscale cloud vendors. Last few years cloud computing have been among the IT industries hottest topics. The term refers to on-demand access to computing resources provisioned by another provider. 2019 has been dubbed the year of migrations by several vendors and a pronounced advantage of cloud computing is that they tend to be highly available and easily scalable. For fast-growing business, cloud-computing has revolutionized the way they can work. Organizations typically lease cloud-based resources from outside the organization. Of course, it is also possible (but not as common) to host cloud-based services internally.

While cloud computing can be very cost-efficient and offer fast scaling, it’s challenged by the fact that resources will most likely be hosted outside of the business’ data centre and therefore, outside of the direct control of that business, increasing the complexity to manage risk and handle governance.

Over the last few years, cloud computing has been the buzz. Cloud computing services offer an infrastructure that is highly scalable and supports high-performance computing. With high adoption by businesses of all sizes. Development and deployment of applications within the cloud platform are easy and time to market is done in a fraction of the time.

Artificial intelligence is not a new technology. It has been here for a long time and has helped develop computers and software that perform tasks that are associated with intelligence. Machine learning and deep learning are subsets of artificial intelligence that involve the development of algorithms that learn from data inputs and give intelligent output based on that data and the learned patterns.

A lot of research has been done and still is being done on implementing artificial intelligence into cloud computing. Cloud service providers such as Amazon, Google and Microsoft have already integrated AI into their clouds to improve service delivery. AI brings about capabilities such as machine learning, recognition of patterns and robotics to the cloud. On the other hand, the cloud is able to provide a wide range and large volumes of data since these capabilities are largely dependent on data as input so as to produce the desired output. The cloud also allows the systems to open-access and open-source data which is very crucial in facilitating collaborative learning.