Automated Idle Resource Detection and Cost Reduction System
Eclerx FinopsProject Objectives:
Design a system that detects idle or underutilized cloud resources and automatically recommends or performs cost-saving actions, improving operational efficiency and minimizing cloud expenditure.
Project Tasks:
Deploy multiple cloud virtual machines.
Monitor CPU, memory, and network utilization.
Identify idle resources below threshold usage.
Implement automated shutdown scheduling.
Generate cost impact comparison reports.
Configure alerts for long-running idle instances.
Simulate workload reduction scenarios.
Evaluate cost savings achieved.
Document automation scripts and logic.
Educational Qualifications
B.TechB.EBCAMCA
Required Skills
Data AnalyticsOperations & Cost Optimization TechniquesPython / ScriptingCloud Resource Management (Aws / Azure / Gcp)Monitoring Tools (Cloudwatch / Prometheus)
