Paper Details
Balancing Performance and Cost: Trade-offs in Resource Allocation for Blue and Green Environments
Authors
Yogeswara Reddy Avuthu
Abstract
Abstract—The Blue-Green deployment strategy is a widely adopted practice in modern CI/CD pipelines, aimed at minimizing downtime and reducing the risk of deployment failures by maintaining two identical environments: Blue (live) and Green (staging). Despite its benefits in ensuring high availability and seamless user experiences, Blue-Green deployments present significant challenges in balancing performance and cost, particularly when dealing with resource-intensive applications. This paper provides a comprehensive analysis of the trade-offs involved in resource allocation for Blue and Green environments. We investigate the impact of resource provisioning on performance, using key metrics such as response time, throughput, and system availability, while evaluating the associated financial costs, including compute, storage, and network expenses. Our study explores strategies for optimizing resource utilization, such as the implementation of auto-scaling mechanisms and dynamic resource management, to achieve a balance between cost efficiency and performance demands. Through empirical data and simulations, we illustrate how different resource allocation strategies influence overall system behavior and operational costs. The findings of this research highlight the importance of strategic resource management and propose best practices for organizations aiming to leverage Blue-Green deployments in a cost-effective manner. Additionally, we discuss the limitations of current approaches and suggest future directions for enhancing cost optimization without compromising performance.
Keywords
Blue-Green Deployments, CI/CD Pipelines, Performance Optimization, Cost Management, Auto-Scaling, Resource Allocation, High Availability
Citation
Balancing Performance and Cost: Trade-offs in Resource Allocation for Blue and Green Environments. Yogeswara Reddy Avuthu. 2018. IJIRCT, Volume 4, Issue 4. Pages 1-10. https://www.ijirct.org/viewPaper.php?paperId=2411028