Smart Risk Management in DevOps Using AI

Authors

  • Phani Monogya Katikireddi  Independent Researcher, USA

DOI:

https://doi.org/10.32628/IJSRST523103169

Keywords:

DevOps, Risk Management, Artificial Intelligence, Continuous Integration and Continuous Deployment (CI/CD) Pipelines, Anomaly Detection, Automation, Predictive Analytics

Abstract

Risk management is critical to DevOps because it is crucial to deliver reliable solutions built efficiently and securely in CI/CD processes. The hierarchy of processes in the complex world means obstacles such as failed deployment and security risks are possible. Still, AI encompasses the key topics applied to risk management, such as big data analytics, intelligent anomaly detection, and innovative solutions that help to prevent risks. This report further proves the use of AI integrated into a CI/CD loop in an e-commerce platform by creating a dummy CICD pipeline. It also uses the Netflix case study to show how less downtime and more resilience were achieved. While integration and cost remain significant issues when adopting AI, the research reveals how AI is profoundly transformative in helping DevOps introduce proactive risk management solutions for more competent product management and enhanced security to improve performance.

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International Journal of Scientific Research in Science and Technology

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Published

2023-05-18

Issue

Volume 10, Issue 3, May-June-2023

Section

Research Articles

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This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Phani Monogya Katikireddi "Smart Risk Management in DevOps Using AI" International Journal of Scientific Research in Science and Technology(IJSRST), Online ISSN : 2395-602X, Print ISSN : 2395-6011,Volume 10, Issue 3, pp.1248-1253, May-June-2023. Available at doi : https://doi.org/10.32628/IJSRST523103169