IT Operations Dashboard

Capacity Planning & Infrastructure Resource Utilization — Stratum Cloud

North-Star Metric
$0.042
Cost per Active User
-12% vs Q1
ML-Inference CPU Util
88%
+57% vs baseline
Storage Growth Velocity
142 GB/day
+23% WoW
Reserved vs On-Demand
62:38
Target 70:30
Autoscaling Events/Day
11.3
+184% vs baseline
Idle Resource Cost
$1,847/day
-8% vs last week
Container Density
0.71
Req/Alloc ratio

CPU/Memory Utilization Trend by Workload Cluster (90d + 30d Projection)

Storage Growth Velocity (GB/day by Volume Type)

Network Saturation Rate

Workload Rightsizing Opportunity Score (Monthly $ at Risk)

Workload Cluster Current Size Recommended Size Avg Utilization Monthly Waste Risk Score Status
ML-Inference c5.9xlarge × 42 c6i.8xlarge × 38 88% $2,840 92 Critical
API-Backend m5.2xlarge × 68 m6i.xlarge × 72 54% $4,120 78 High
Data-Pipeline r5.4xlarge × 24 r6i.2xlarge × 28 62% $1,680 64 Medium
Web-Frontend t3.large × 120 t3.medium × 140 38% $2,340 58 Medium
Batch-Processing c5.4xlarge × 18 c6i.2xlarge × 22 71% $920 42 Low
Cache-Layer r5.xlarge × 32 r6g.xlarge × 32 76% $560 28 Low
Monitoring m5.large × 8 t3.large × 10 45% $180 18 Low

Database Connection Pool Utilization

Cross-Region Latency Drift (P99 Baseline Delta)

Container Node Pool Density Heatmap (Requested / Allocatable CPU)

W1
W2
W3
W4
W5
W6
W7
W8
W9
W10
W11
W12
ML-Inference
0.88
0.91
0.86
0.89
0.82
0.84
0.79
0.68
0.62
0.58
0.54
0.51
API-Backend
0.52
0.56
0.54
0.58
0.61
0.59
0.57
0.55
0.53
0.52
0.51
0.50
Data-Pipeline
0.59
0.64
0.66
0.68
0.71
0.74
0.76
0.72
0.69
0.65
0.62
0.60
Web-Frontend
0.36
0.38
0.42
0.39
0.41
0.37
0.35
0.33
0.34
0.36
0.38
0.40
Batch-Proc
0.68
0.72
0.76
0.79
0.74
0.71
0.69
0.66
0.63
0.61
0.64
0.67
Cache-Layer
0.74
0.78
0.81
0.79
0.76
0.73
0.71
0.69
0.67
0.65
0.68
0.70