ML/RL Capacity Planner

Real-Time Optimization Platform

Capacity Planner

Lite Mode

Quick capacity estimate using counts and distributions. No need to define all details.

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Hierarchy Structure

Business Objectives

Has Operational Objectives

Avg OOs per BO

Context Width

Context Depth

📍 Leaf Nodes = 5³ = 125 per hierarchy

KPIs per Leaf Node

Causal Relationships

KPI dependencies that trigger cascade updates

Avg Causes per KPI

Causal Chain Depth

🔗 Total Causal Links:6,000

⚡ Cascade Multiplier:15×

Reinforcement Learning

Enable RL

Enable RL to configure reinforcement learning parameters for optimization workloads.

Frequency Distribution

How often KPIs are calculated (will be normalized to 100%)

Real-time (1440×/day)

10%

Hourly (24×/day)

30%

Daily (1×/day)

40%

Weekly (0.14×/day)

20%

Normalized:10%30%40%20%

Complexity Distribution

Computational intensity of KPIs (will be normalized to 100%)

Simple (0.01 vCPU/calc)

50%

Moderate (0.05 vCPU/calc)

35%

Complex (0.2 vCPU/calc)

15%

Normalized:50%35%15%

Input Summary

Hierarchy

BOs:3

OOs:6

Context:5×3

KPIs/Leaf:4

Causal Chain

Causes/KPI:2

Chain Depth:3

Distributions

Freq (RT/H/D/W):10/30/40/20

Complex (S/M/C):50/35/15

Ready to Compute?

Click the button below to calculate detailed capacity requirements based on your inputs.