Cost Optimization

GreenKube combines FinOps and GreenOps into a single platform, helping you cut both cloud costs and carbon emissions simultaneously.

Smart Detection

GreenKube automatically analyzes your cluster to detect optimization opportunities:

Pods that consume resources but do little to no actual work:

Workloads where resource requests/limits are significantly mismatched with actual usage:

Over-provisioned: Requests far exceed actual usage → wasting money and energy
Under-provisioned: Actual usage near or above limits → risk of OOM kills and throttling

Workloads that would benefit from Horizontal Pod Autoscaling (HPA):

Suggestions to shift non-urgent workloads to times or regions with lower carbon intensity.

Each recommendation includes an estimated impact:

Metric	Description
Cost savings	Estimated monthly $ reduction
Energy savings	Estimated kWh reduction
Carbon savings	Estimated kgCO₂e reduction
Confidence	High / Medium / Low

Recommendations are grouped by priority:

🔴 Critical — Immediate action recommended (e.g., zombie pods burning significant resources)
🟡 Warning — Notable optimization opportunity (e.g., 3× over-provisioned)
🟢 Info — Minor improvement possible (e.g., slight rightsizing)

Navigate to the Recommendations tab to see all active suggestions with inline actions.

greenkube report --recommendations

curl http://localhost:8000/api/v1/recommendations

GreenKube integrates with OpenCost to provide accurate cost data: