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

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