Container Orchestration

K8s Cluster Optimizer

AI-driven resource profiling and pod-level efficiency analysis for Kubernetes environments.

Monthly Waste

$1,240

Poten. Saving

24%

Node Allocation Map

vCPURAMStorage

Node 1: 100%

Node 2: 83%

Node 3: 14%

Node 4: 95%

Node 5: 87%

Node 6: 57%

Node 7: 95%

Node 8: 74%

Node 9: 64%

Node 10: 19%

Node 11: 84%

Node 12: 64%

Node 13: 63%

Node 14: 4%

Node 15: 37%

Node 16: 88%

Node 17: 70%

Node 18: 43%

Node 19: 11%

Node 20: 22%

Node 21: 52%

Node 22: 8%

Node 23: 44%

Node 24: 67%

Node 25: 69%

Node 26: 5%

Node 27: 60%

Node 28: 36%

Node 29: 60%

Node 30: 82%

Node 31: 12%

Node 32: 32%

Optimal

Heavy Load

OOM Risk

Sample Rate: 10s

Right-sizing Radar

AI suggests downscaling "staging-env" replicas from 32 to 12. Estimated saving: $420/mo.

Efficiency Score

+4.2% week

Namespace Metrics

default

24 Pods

CPU

12.4 Cores

MEM

8.2GB

Efficiency92%

kube-system

12 Pods

CPU

4.2 Cores

MEM

2.1GB

Efficiency98%

production-api

84 Pods

CPU

62.8 Cores

MEM

42.4GB

Efficiency65%

staging-env

32 Pods

CPU

18.5 Cores

MEM

12.2GB

Efficiency42%

HPA Status

Autoscaling production-api

Scaling Up • 2m ago

Consolidating dev-nodes

Idle • 14m ago