Automação de entrega de software com Docker e CI/CD: um estudo de caso experimental

Abstract

Software development faces the critical challenge of ensuring delivery reliability amidst manual processes prone to failure. This work investigates the technical implementation of infrastructure automation as a mechanism to mitigate operational inconsistencies. Limited to a controlled academic experimental case study, a Continuous Integration and Continuous Delivery (CI/CD) pipeline was developed for a Python web application (FastAPI). The architecture utilized Docker containers to ensure environment parity and GitLab CI to orchestrate testing, build, security, and deploy stages on an EC2 instance in the AWS cloud. The analysis of results prioritized the stability metric over pure speed. The data showed that, while there was a 20.35% optimization in average Lead Time, the most significant gain was the elimination of process variability (drastic reduction in standard deviation), transforming delivery into a predictable routine. Additionally, the Shift-Left approach was technically validated using Docker Scout for vulnerability scanning. It is concluded that automation, even in smaller-scale scenarios, is essential to ensure the technical reproducibility, security, and stability of software engineering.