Progressive Delivery in CI/CD Pipelines: Evaluating Canary, Blue-Green, and Feature Flag Strategies

Authors

  • Nagateja Alugunuri

Keywords:

: Progressive Delivery, CI/CD Pipeline, Canary Deployment, Blue-Green Deployment, Feature Flags and DevOps Automation.

Abstract

Modern software delivery demands agility, safety, and observability, particularly in large-scale, microservice-based systems. This study presents a novel unified CI/CD pipeline framework that integrates three progressive delivery strategies Canary, Blue-Green, and Feature Flags into a cohesive deployment model. Building upon the limitations of isolated approaches, the proposed system dynamically adapts deployment scopes using Istio for traffic control, Launch Darkly for runtime feature toggling, and Kubernetes for orchestration, all driven by continuous monitoring with Prometheus and Grafana. Via empirical testing with staged rollouts, real-time metrics tracking, and rollbacks with simulation, the integrated model yielded a 40% gain in Mean Time to Recovery (MTTR), improved rollback accuracy, and system availability of more than 99.98%. This work presents a scalable, smart solution for continuous delivery that finds a balance between speed and control, which allows development teams to release updates regularly without sacrificing reliability or user experience. The report concludes with a roadmap to incorporate AI-based monitoring and extend the model to multi-cloud and edge environments.

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Published

17.05.2023

How to Cite

Nagateja Alugunuri. (2023). Progressive Delivery in CI/CD Pipelines: Evaluating Canary, Blue-Green, and Feature Flag Strategies. International Journal of Intelligent Systems and Applications in Engineering, 11(6s), 922 –. Retrieved from https://ijisae.org/index.php/IJISAE/article/view/7791

Issue

Vol. 11 No. 6s (2023)

Section

Research Article

License

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