Kubernetes Cost Monitoring with Kubecost

💡 Quick Answer: Monitor and optimize Kubernetes costs with Kubecost. Track per-namespace, per-deployment, and per-label spend with cloud billing integration and savings recommendations.

The Problem

Engineers frequently search for this topic but find scattered, incomplete guides. This recipe provides a comprehensive, production-ready reference.

The Solution

Install Kubecost

helm repo add kubecost https://kubecost.github.io/cost-analyzer
helm install kubecost kubecost/cost-analyzer \
  --namespace kubecost --create-namespace \
  --set kubecostToken="<free-token-from-kubecost.com>"

Access Dashboard

kubectl port-forward -n kubecost svc/kubecost-cost-analyzer 9090:9090
# Open http://localhost:9090

Key Cost Views

Cost Optimization Quick Wins

# 1. Find over-provisioned workloads (Kubecost Savings page)
# Shows: "Reduce web-app CPU request from 1000m to 200m → save $45/mo"

# 2. Find idle namespaces
# Namespaces with <5% CPU utilization for 7+ days

# 3. Spot instance candidates
# Stateless workloads that can tolerate interruption

# Add cost allocation labels
metadata:
  labels:
    team: platform
    environment: production
    cost-center: engineering

graph LR
    A[Kubernetes Metrics] --> B[Kubecost]
    C[Cloud Billing API] --> B
    B --> D[Per-namespace costs]
    B --> E[Savings recommendations]
    B --> F[Chargeback reports]

Frequently Asked Questions

Is Kubecost free?

The open-source version is free for a single cluster with 15 days of data. The commercial version adds multi-cluster, longer retention, SSO, and cloud integration.

Best Practices

• Start with the simplest approach that solves your problem
• Test thoroughly in staging before production
• Monitor and iterate based on real metrics
• Document decisions for your team

Key Takeaways

• This is essential Kubernetes operational knowledge
• Production-readiness requires proper configuration and monitoring
• Use kubectl describe and logs for troubleshooting
• Automate where possible to reduce human error