Spot Instance Utilization and Cost Optimization Automation System
Eclerx Cloud ComputingProject Objectives:
Develop a cloud automation system that leverages spot or preemptible instances to reduce compute costs while maintaining workload reliability through fallback mechanisms
Project Tasks:
Study spot instance pricing model.
Deploy workloads on spot instances.
Monitor spot interruption events.
Implement automatic fallback to on-demand instances.
Compare cost difference between instance types.
Simulate interruption scenarios.
Measure workload performance stability.
Generate savings analysis report.
Document automation strategy and cost comparison results.
Educational Qualifications
B.TechB.EBCAMCA
Required Skills
Cloud Platforms (Aws / Azure / Gcp) & Containerization (Docker, Kubernetes)Cloud Cost Optimization & Finops ConceptsInfrastructure As Code (Terraform / Cloudformation)Monitoring & Alerting ToolsScripting & Automation (Python / Bash)
