A Systematic Review of Cloud Cost Optimization Strategies in AWS DevOps Environments

Cloud computing has become a core component of modern software development, particularly in DevOps environments that emphasize automation, scalability, and continuous delivery. However, the dynamic nature of cloud resources often leads to uncontrolled and excessive costs, especially in Amazon Web Services (AWS) infrastructures. This paper presents a systematic review of cloud cost optimization strategies by analyzing existing research, industry practices, and commonly used techniques. The study focuses on key approaches such as resource rightsizing, auto-scaling, spot and reserved instances, storage lifecycle management, and monitoring-driven cost control, while also examining the impact of DevOps practices like CI/CD, infrastructure as code (IaC), and containerization on cloud expenditure. The findings reveal that although automation improves efficiency, poor configuration can significantly increase costs. The paper highlights the need for integrating costaware practices into DevOps workflows and identifies future directions for more intelligent and automated cost optimization solutions.