Capacity Planning
Analyze actual infrastructure utilization patterns and model infrastructure changes before committing. Compare instance types, simulate Graviton migration, optimize spot ratios, and identify peak waste windows with instant cost projections for every scenario.
How it Works
Three steps from setup to savings
Baseline
Historical utilization data (up to 360 days) is ingested and normalized across all clusters and cloud providers.
Analyze
Utilization patterns are analyzed by node group, instance type, zone, and hour of day to surface peak waste windows and efficiency gaps.
Model
Use the what-if simulator to evaluate Graviton migration, spot instance ratios, and node pool consolidation scenarios with instant cost projections.
What's Included
Infrastructure Utilization Analysis & Scenario Modeling
Infrastructure Overview
Track CPU and memory utilization over configurable windows from 7 to 360 days with multiple aggregation options: average, P50, P75, P95, P99, and max. Surface top node groups by cost and hourly usage patterns.
- Utilization timeseries with configurable timeframes (7d to 360d) and aggregation (average through P99 and max)
- Hourly usage patterns, spot vs on-demand fleet composition, and cost distribution by OS and availability zone
Node Group Management
View every node group with its instance type, purchasing model, node count, and monthly cost. Color-coded badges distinguish Graviton, Spot, and On-Demand pools at a glance.
- Color-coded badges instantly distinguish purchasing models across all node groups
- Per-group cost breakdown with node count, instance type distribution, and monthly spend
Interactive Cluster Map
See your entire cluster infrastructure in one view. Node groups display their cost, capacity, and purchasing strategy so you can spot optimization opportunities without digging through tables.
- Visual overview of all node groups with real-time cost and capacity breakdown per pool
- Compare current vs recommended configurations side by side to preview savings before committing
What-If Simulator
Model three infrastructure scenarios with instant cost projections: Graviton/ARM migration for up to 20% savings, spot instance ratio adjustment for up to 60% savings, and node pool consolidation.
- Test Graviton migration, adjust spot ratios, and consolidate pools with instant per-scenario savings projections
- Current vs projected monthly cost shown instantly as you adjust scenario parameters
Node Rightsizing
Instance type and node count recommendations based on actual utilization. Supported on AWS EKS, Google GKE, Azure AKS, and Oracle OKE with per-node-group savings estimates.
- Per-node-group recommendations with instance type changes, node count reduction, and monthly savings calculations
- Side-by-side configuration comparison showing current vs optimized CPU, memory, cost, and utilization
Cost Breakdown by Pool
Understand how your infrastructure costs are distributed across purchasing models. See exactly how much you spend on Graviton, Spot, and On-Demand instances.
- Percentage-based breakdown showing share of total spend per purchasing model
- Monthly cost trend to track the impact of optimization decisions over time
Frequently Asked Questions
Common questions about Capacity Planning
See What 60% Savings Looks
Like on Your Clusters
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