Understanding SDLC using CI/CD pipeline
Sachin R Doddaguni1, Rohith R2, Salman Asif S3, Manas M N4
1Sachin R Doddaguni, Student Of R.V College of Engineering, Bengaluru, Karnataka. India.
2Rohith R, Student Of R.V College of Engineering, Bengaluru, Karnataka. India.
3Salman Asif S, Student Of R.V College of Engineering, Bengaluru, Karnataka. India.
4Manas M N, Assistant Professor Department of CSE, R.V College of Engineering, Bengaluru, Karnataka. India.
Manuscript received on May 02, 2020. | Revised Manuscript received on May 05, 2020. | Manuscript published on May 30, 2020. | PP: 22-25 | Volume-9 Issue-6, May 2020. | Retrieval Number: F3405039620/2020©BEIESP | DOI: 10.35940/ijsce.F3405.059620
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© The Authors. Published By: Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Development of complex and quality software necessitates the use of a development model, so that the development process is efficient, reliable and faster. Software development life cycle (SDLC) is a well-defined and wellorganized process used to plan, develop, deploy and maintain high quality software systems. DevOps is one recent addition to SDLC that ensures that the development and operations team collaborate to accelerate the deployment and delivery of higher quality software products. This paper throws a light on how development processes are accelerated using DevOps tactics like continuous integration and deployment (CI/CD) pipelines. however, there are several factors that prevent the organizations from using these approaches. Discovering the evolution of DevOps and its continuous practices, gives a thorough understanding of the importance of the DevOps culture. Manual deployment and testing increase the feedback time of a commit operation. The paper discusses various tools available in the DevOps community that can be used to automate various stages of continuous integration and deployment pipeline, so that the feedback time is reduced.
Keywords: SDLC, pipeline, DevOps, Virtualization.