Auto-Scaling Optimization and Cost Efficiency Analysis System

Eclerx Cloud Infrastructure
LocationRemote
#HiringActivily
#TopOpportunity

Project Objectives:

Build a cloud auto-scaling monitoring system that evaluates scaling policies and analyzes their cost impact, ensuring optimal balance between performance and expenditure.

Project Tasks:

Deploy scalable cloud application.

Configure auto-scaling policies.

Monitor scaling events and costs.

Analyze performance vs resource usage.

Identify over-scaling scenarios.

Suggest optimized scaling thresholds.

Compare cost before and after optimization.

Simulate traffic spikes.

Document cost-performance trade-offs.

Educational Qualifications

B.TechB.EBCAMCA

Required Skills

Data AnalyticsCloud Platforms (Aws, Azure, Gcp)Python / ScriptingAuto-Scaling & Resource ManagementCost Optimization & Analysis