Container Resource Optimization and Cost Analysis Platform
Eclerx Cloud InfrastructureProject Objectives:
Develop a container resource optimization system that analyzes Kubernetes pod resource allocation and recommends right-sizing configurations to minimize cloud infrastructure costs.
Project Tasks:
Deploy Kubernetes cluster.
Run containerized applications.
Monitor CPU and memory usage per pod.
Identify over-provisioned containers.
Adjust resource limits.
Analyze cost difference after resizing.
Simulate workload variation.
Generate optimization report.
Document right-sizing methodology.
Educational Qualifications
B.TechB.EBCAMCA
Required Skills
Performance MonitoringData AnalyticsCloud Cost OptimizationDevops PracticesContainerization (Docker & Kubernetes)
