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Research Paper | Computer Science | Volume 14 Issue 4, April 2025 | Pages: 15 - 18 | United States
Automating Performance Degradation Detection in CI/CD Pipelines
Abstract: In production settings, deteriorating performance can result in lost revenue, higher infrastructure expenses, and a bad user experience. Automating performance validation is crucial for identifying and averting regressions early in the development lifecycle in contemporary CI/CD pipelines. This journal describes a methodical approach to determine response time degradation, specify pass/fail criteria, and integrate best practices for a robust performance analysis. To increase the precision of performance validation in CI/CD pipelines, the suggested methodology makes use of weighted scoring, statistical filtering, trend detection, and dynamic baselines.
Keywords: Performance Degradation Detection, CI/CD Pipeline Automation, Response Time Analysis, Weighted Scoring Methodology, Dynamic Baselines for Performance Validation
How to Cite?: Alex Kuriakose, "Automating Performance Degradation Detection in CI/CD Pipelines", Volume 14 Issue 4, April 2025, International Journal of Science and Research (IJSR), Pages: 15-18, https://www.ijsr.net/getabstract.php?paperid=SR25330053612, DOI: https://dx.doi.org/10.21275/SR25330053612