Cloud Computing

Cloud computing is here to stay. In 2017, the global cloud market was valued at roughly $30 billion. By 2020, that value had already reached $61 billion. That’s a growth rate of more than 26%, much higher than the average across all industries.

On its current trajectory, cloud computing as an industry will reach a $390 billion valuation by 2028. If you’re looking for a rock-solid industry with upward growth potential, look no further than the world of on-demand cloud computer and system resources.

Since the evolution of Amazon Web Services as a mainstay in virtual computing, many AWS technologies have been created specifically to make cloud management easier. Among these products is AWS CloudFormation — a streamlined service that allows all AWS users to model AWS products for personal or professional use. AWS CloudFormation also allows you to reconcile native AWS services with various third-party programs, helping you predictably manage AWS platforms as they evolve.

By letting a user deploy entities like virtual machines and security appliances on the AWS cloud platform, CloudFormation has essentially bolstered the security of the online cloud environment. Users deploy CloudFormation templates to define the AWS resources they want to create and add to their existing AWS hierarchy. These templates — individual text files — comprise the tech stack that makes your AWS infrastructure unique.

It's easy to initially confuse virtualization with cloud computing, given their similarities and the fact that they exist in the same IT industry. However, both virtualization and cloud computing are characterized by unique differences that make them uniquely valuable to experienced IT engineers. IT experts have already begun to use both cloud computing and virtualization together in similar environments, to thoroughly optimize their approach to data storage and hardware use.

Jess Feldman, content manager for Course Report, met with Edgar Ayala virtually to talk about his experience with a university IT bootcamp. Ayala is a recent alum of UT Arlington’s Cloud Engineering Bootcamp powered by QuickStart (watch the full video here). 

Amazon may have become a household name by being the most popular e-commerce site, but its Amazon Web Services (AWS) subsidiary is also the largest cloud provider in the world. Its market position makes AWS an important skill set for new and experienced tech professionals. 

It is well-known that acquiring cloud certifications helps an individual further their career. Certifications give employers peace of mind that they are hiring someone with the right skillset, knowledge, and qualifications to enhance the organization’s desire for distributed data. Those skills and qualifications are highly valued in today’s competitive job market, and those seeking cloud certifications are likely to quickly see a return on their investment and effort.  

Cloud computing is used in business processes more than ever before, from computing and storage to advanced operations. Software development, Artificial Intelligence, and data science, customer-centric operations, and more automated IT processes are now in the cloud. Azure created by Microsoft to test, create, deploy, and manage Azure applications through Microsoft data centers and cloud services. Thanks to its diverse range of services and devices, it is now considered one of the fastest-growing data cloud services on the market.

A data engineer is one of the most sought after people in the tech industry and because data engineers can add value to the business this position is powerful and important in any tech association. The most notable work of data engineers is to convert the variety of data files format into the specific format which can be used by the data scientists. Data Engineers are specifically in command of managing pipelines, data workflows, and ETL methods. The data engineers are as valuable as the data scientist yet they seem to be less in the field, therefore they are in high demand with high salaries.