Empirical Evaluation of DevOps Implementation in Optimizing the Software Life Cycle for Cloud Platforms
Today, IT organizations, in particular, have to provide quick, reliable and high-quality software solutions for meeting the changing market requirements. While the development process has been structured by traditional software engineering paradigms (Waterfall, Agile and Spiral Models), traditional workflows often involve operational bottlenecks. In particular, the lack of communication and coordination between development and operations can lead to delivery delays. DevOps has come about as a transformative approach that fuses software design and IT operations into a single, streamlined and automated process that aims to overcome these systemic inefficiencies. DevOps is used to streamline the software delivery pipeline, when paired with Cloud Computing infrastructure, including SaaS, PaaS, and IaaS solutions from AWS, Azure, and GCP. In this project, one will be working on building a Continuous Integration and Continuous Deployment (CI/CD) pipeline using Microsoft Azure to automate software delivery and improve overall efficiency