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: 79%

Node 2: 51%

Node 3: 68%

Node 4: 14%

Node 5: 22%

Node 6: 58%

Node 7: 50%

Node 8: 8%

Node 9: 55%

Node 10: 84%

Node 11: 48%

Node 12: 11%

Node 13: 68%

Node 14: 66%

Node 15: 54%

Node 16: 67%

Node 17: 48%

Node 18: 21%

Node 19: 83%

Node 20: 100%

Node 21: 35%

Node 22: 39%

Node 23: 1%

Node 24: 5%

Node 25: 16%

Node 26: 44%

Node 27: 37%

Node 28: 19%

Node 29: 94%

Node 30: 30%

Node 31: 58%

Node 32: 36%

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