Cloud – Yesterday, Today & Tomorrow

Cloud computing is a buzzword in the IT field. It is gaining momentum and will take a strong hold very soon. Several IT organizations are making budgets to be invested in cloud services. And this trend promises to keep increasing. Bank and finance sectors which have security as their prime concern are also willing to invest in cloud computing services.

In the past decade, supercomputers and mainframes have shouldered the responsibility of massive computing. The mainframe has several CPUs connected to each other through vast networks. Supercomputers and mainframes are extremely expensive to maintain in optimal conditions. This has resulted in the discovery of inexpensive way of storing data through the cloud computing system.

Cloud computing today is provided by companies that specialize in this industry. It is the provider who manages the resources and shares it effectively with a multitude of users. This has helped to drive down the cost borne by organizations before. Companies no longer need large spaces to house mainframes, spend on electricity and provide salaries

to administrative staff. Companies now pay a subscription fee to join the cloud network offered by providers. Cloud allows the accessibility of data from multiple devices across different geographic locations. It allows easy collaboration for team members on data shared over cloud.

Cloud computing looks promising for the future. Kinsey’s Enterprise Cloud Infrastructure Survey has shown that large enterprises are adopting public cloud services. Enterprises are evolving to benefit from cloud in developing products, brand and sell their products and services, oversee supply chains and much more. Cloud based solutions are attractive to enterprises as they offer simplicity of use, quick implementation and sophistication of their purpose.

Google, Amazon, and Microsoft are attracting large enterprises as they offer most reliable and substantial capabilities. Third party and enterprises are contributing to the cloud. They are using the cloud to develop APIs (Application Program Interface). Popularchoice of APIs are Pub/Sub, DataFlow etc. For example, developers use Google Maps APIs to embed Google Maps on webpages that are responsive on mobile devices. Additionally, Google's YouTube APIs allows developers to integrate YouTube functionality such as Analytics, Live Streaming and others into mobile apps and responsive websites.

Developers design, build and script softwares that supports the API, which in turn are required to develop new applications. This requires investment of huge time and resources that increases software development life cycle (SDLC).Google's serverless architecture abstracts the developer's code writing requirement supporting the API and simultaneously displays objects or actions that the developer requires.

Google's Machine Learning (ML) is based on neural networks. It is highly sophisticated and intuitive and unburdens the developer from learning highly complicated neural network. With increasing development of API for the cloud, developers are poised to leverage machine learning services provided by Google. Additionally, ML provides developers the shortest route from ideation to implementation that allow in quicker resolution of business requirements.

As cloud computing technology continues to improve, larger and highly secure virtual storage space will become available in the public domain. While cloud computing gains users, it is crucial to keep in mind security and privacy issues. Finance industries are skeptical about the current security and privacy issues related to storing a large amount of sensitive individual information in the public cloud network. However, enterprises likeGoogle that runs world-class data centers put an enormous emphasis on security and privacy issues.

Cloud computing has made big strides over the last decade and it will experience swift innovation within the next few years. Cloud computing is close to completely replacing physical servers and data centers. In the next phase cloud computing will evolve to makemachine learning much simpler that will allow abstraction of software based infrastructures. This will enhance the lag time between ideation of business projects and

its implementation.

You can read the full blog: https://www.linkedin.com/pulse/cloud-yesterday-today-tomorrow-raju-chakraborty?published=t

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