A Cloud Cost Monitoring and Optimization Framework for Efficient Resource Management
Keywords:
Anomaly detection, AWS billing, Cloud analytics, Cloud computing, Cloud infrastructure, Cost monitoring, Cost optimization, Cost prediction, Resource management, Usage metricsAbstract
Cloud computing has become an essential platform for deploying modern applications due to its scalability, flexibility, and pay-as-you-go pricing model. However, the dynamic nature of cloud resources often results in unexpected cost fluctuations and inefficient spending. To address this challenge, this project presents a Cloud Cost Monitoring and Optimization Tool designed to track, analyze, and optimize cloud usage in real time. The system continuously collects cost and usage metrics from cloud services, identifies cost-intensive resources, and provides actionable insights to reduce unnecessary expenses. It also offers automated alerts, resource recommendations, and visualization dashboards to help users make informed decisions. Furthermore, the proposed tool enhances budgeting accuracy by predicting future spending trends based on historical usage patterns. It supports anomaly detection to quickly identify unusual cost spikes and prevent bill overruns. The system is built with a scalable architecture that can be integrated with multiple cloud platforms. By providing a unified view of overall cloud consumption, this tool greatly improves cost transparency. Overall, the solution strengthens financial control and enables more efficient cloud resource management for both individuals and organizations.
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