KUBERNETES COST ALLOCATION AND CHARGEBACK REPORT
Environment: Production EKS Cluster (us-east-1)
Reporting Period: September 2024

EXECUTIVE SUMMARY

Total cluster cost: $124,842
Allocated to teams: $108,240 (86.7%)
Unallocated (shared services): $16,602 (13.3%)

Top 3 cost centers:
1. Data Science Team: $42,880 (34.4%)
2. Backend Engineering: $31,240 (25.0%)
3. Frontend/Mobile: $18,420 (14.8%)

Cost efficiency metrics:
- CPU utilization: 42% (target: 65%)
- Memory utilization: 38% (target: 60%)
- Wasted resources: $34,280/month (27.5%)

CLUSTER INFRASTRUCTURE COSTS

Node Groups:
- General Purpose (c5.2xlarge): $28,440 (18 nodes * 720 hours * $2.20/hour)
- Memory Optimized (r5.2xlarge): $31,680 (20 nodes * 720 hours * $2.20/hour)
- GPU (p3.2xlarge): $42,240 (14 nodes * 720 hours * $4.20/hour)

Control Plane: $2,160 (3 master nodes)
Load Balancers: $1,840 (8 ALBs)
EBS Volumes: $8,420 (persistent storage)
Data Transfer: $6,248 (inter-AZ, internet egress)
Monitoring (Prometheus, Grafana): $3,814

COST ALLOCATION BY NAMESPACE

namespace: data-science
  Total cost: $42,880
  Pods: 847
  CPU request: 2,840 cores
  Memory request: 11.2 TB
  GPU request: 48 GPUs
  
  Top workloads:
  - ml-training-job-* : $24,240 (GPU-intensive)
  - jupyter-notebooks-* : $8,640 (24/7 development environments)
  - data-pipeline-etl : $6,420
  
  Optimization opportunities:
  - 18 idle Jupyter notebooks ($4,320/month waste)
  - Training jobs during business hours (use spot instances) → Save $12,120/month

namespace: backend-api
  Total cost: $31,240
  Pods: 1,248
  CPU request: 840 cores
  Memory request: 3.4 TB
  
  Top workloads:
  - user-service : $8,420
  - payment-processor : $6,880
  - notification-engine : $4,240
  - order-management : $3,880
  
  Efficiency: 62% CPU utilization (good)
  Recommendation: Increase resource limits slightly for headroom

namespace: frontend
  Total cost: $18,420
  Pods: 624
  CPU request: 420 cores
  Memory request: 1.2 TB
  
  Over-provisioned: 28% CPU utilization
  Recommendation: Reduce CPU requests by 40% → Save $7,368/month

namespace: mobile-backend
  Total cost: $15,700
  
  Workloads:
  - ios-api-gateway : $6,240
  - android-api-gateway : $5,880
  - push-notification-service : $3,580

CHARGEBACK BY TEAM

Team: Data Science & ML
  September cost: $42,880
  Year-to-date: $384,240
  Budget: $420,000/year
  % of budget used: 91.5%
  Forecast: Over budget by $50,160 if current trend continues

Team: Backend Engineering
  September cost: $31,240
  Year-to-date: $274,800
  Budget: $360,000/year
  % of budget used: 76.3%
  Status: On track

Team: Frontend/Mobile
  September cost: $34,120 (combined)
  Year-to-date: $288,420
  Budget: $300,000/year
  % of budget used: 96.1%
  Status: Nearly at budget

Team: DevOps/Platform
  September cost: $16,602 (shared infrastructure)
  Allocated pro-rata to teams in monthly bills

RESOURCE UTILIZATION ANALYSIS

CPU Utilization by Team:
- Data Science: 81% (efficient)
- Backend: 62% (good)
- Frontend: 28% (over-provisioned - needs rightsizing)
- Mobile: 54% (acceptable)

Memory Utilization by Team:
- Data Science: 72% (good)
- Backend: 48% (moderate waste)
- Frontend: 22% (significant waste)
- Mobile: 59% (acceptable)

OPTIMIZATION RECOMMENDATIONS

1. Vertical Pod Autoscaler (VPA)
   Implement VPA for Frontend team → Estimated savings: $7,400/month
   
2. Spot Instances for ML Training
   Move ML training to spot nodes (70% discount) → Save $16,968/month
   
3. Idle Resource Cleanup
   Terminate 18 idle Jupyter notebooks → Save $4,320/month
   
4. Schedule Non-Production Workloads
   Stop dev/staging environments nights/weekends → Save $5,840/month

Total monthly savings potential: $34,528 (27.7% reduction)

CHARGEBACK INVOICE DETAILS

Team: Data Science
  Compute: $38,240
  Storage: $2,840
  Network: $1,800
  -------------------------
  Total: $42,880
  
  Contact: Emily Watson (emily.watson@techcorp.com)
  Cost center: CC-4201
  
Team: Backend Engineering
  Compute: $28,440
  Storage: $1,680
  Network: $1,120
  -------------------------
  Total: $31,240
  
  Contact: Alex Kumar (alex.kumar@techcorp.com)
  Cost center: CC-4202

Billing contact for questions: finops@techcorp.com
Dashboard: https://kubecost.techcorp.com (SSO login)