CloudPilot AI POC Process
This guide outlines the POC process for evaluating CloudPilot AI cluster optimization effectiveness and stability through systematic data collection and analysis.
Prerequisites
Ensure CloudPilot AI is installed and configured in your target cluster before starting.
POC Process
The complete POC requires approximately 15 days with phased migration:
Phase 1 - Workload Migration (3 days): Migrate representative workloads across backend, frontend, and middleware tiers to establish baseline stability metrics.
Phase 2 - Node Migration (12 days): Execute gradual node migration: single node (2 days) → 3 nodes (2 days) → 50% of nodes (5 days) → all remaining nodes (3 days). Validate stability at each stage.
Stability Assessment
Monitor different workload types appropriately:
- Web APIs: Use external monitoring to ensure endpoint availability (reference )
- Databases: Run on non-spot instances to avoid migration-related failures
- Controllers: Monitor pod pending states—ensure none remain pending >2 minutes
- Jobs: Track retry ratios, maintain <10% for acceptable stability
Optimization Evaluation
Before POC: Configure workload/Node Pool/Node Class specifications, review optimization plans, and document predicted cost savings.
After POC: Compare actual costs against pre-POC projections to validate prediction accuracy.
Next Steps
Upon satisfactory results, extend CloudPilot AI to additional clusters. Successful POC demonstrates improved scaling efficiency, reduced waste, and measurable cost reduction.
Contact CloudPilot AI support for technical assistance during the POC process.