Published Paper Details:

Current IT strategies depend largely on the ability of companies to push changes/features/fixes in an agile and error-free manner. The need for automation increases dramatically as technology advances. Waterfall software development techniques have been replaced by agile software development approaches in the last decades. In this shift, companies, operations, and software developers are unquestionably relatively close to the shared goals. To promote this merger, the industry offers a large range of open source and proprietary solutions. Technologies have increased themselves and thus new techniques have been developed, namely continuous integration (CI), continuous delivery (CDE) and permanent deployment (CD), assisted by all of the above-mentioned open source and proprietary solution. Automation is the primary requirement for DevOps, and DevOps's main concept is "Automate everything." DevOps automation commences from the coding on the developer machine until the code is run and then the application and system are controlled in production. The whole DevOps pipeline includes continuous integration, ongoing testing, and continuous deployment, including live application monitoring. The main focus of DevOps practice is the design and configuration of automated infrastructure and software delivery. DevOps practice depends heavily on automation, to implement for a few hours, and to execute frequently across different platforms. Automation in DevOps, therefore, promotes speed, greater precision, consistent, and reliable delivery rates. In the end, DevOps automation captures everything from design, delivery, and supervision.