Throughput Capacity Estimator

Predict Throughput Collapse Before Applications Stall

Forecasts effective capacity loss by linking MTU reliability and congestion behaviour.

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The Challenge

The Problem

Contradiction

Applications feel slow, but traditional tools show low utilization, creating a confusing contradiction.

No Visibility

Throughput often collapses without any obvious packet loss, leaving teams with no data to explain the slowness.

Too Late

MTU issues and congestion cliffs are invisible until they cause session timeouts or failed file transfers.

Unknown Loss

Teams have no way to quantify how much capacity they are actually losing to network friction.

Invisible Capacity Loss

What traditional monitoring misses

78%Issues Hidden

65%

Slowdowns

52%

Blind Spots

0

Data Points

Result: Lost capacity and frustrated users

How It Works

How It Works

1

Input Metrics

MRR + CI/PCI data

2

TCI Calculation

Throughput Capacity Index

3

Trend Analysis

Time-based tracking

4

Risk Forecast

Pre-failure detection

Effective Throughput Estimate

Predict collapse before impact

01

TCI Engine

The estimator is powered by the Throughput Capacity Index (TCI). This index is derived from the MTU Reliability Rating (MRR) and the Congestion Index (CI/PCI).

02

Effective Throughput Estimation

By tracking these factors over time, the AI estimates the Effective Throughput of a path.

03

Pre-Failure Detection

It detects when a path's capacity is clipping due to MTU mismatches or buffer saturation, allowing it to forecast a throughput collapse before the application layer even feels the impact.

See It In Action

Watch Throughput Estimation in Action

See how PathMetrics predicts capacity loss before applications stall.

Throughput Capacity Demo

2:38 min • MTU & congestion analysis

HD Quality
TCI-powered analysis
Pre-failure detection
Capacity forecasting
Key Advantages

The Path Intelligence Edge

Capacity-aware, not utilization-based
MTU-sensitive modelling
WAN & tunnel optimized
Distributed NetworksTunnel-Aware

Built for Real-World Networks

Designed for WAN and tunnel behaviour — understands the unique challenges of distributed networks that traditional tools miss.

WAN

Optimized

MTU

Sensitive

Real

Capacity

Live Preview

Throughput Risk Gauge

Ideal vs Effective Capacity

Real-time throughput analysis

Throughput Clipping
Capacity Utilization68% of Ideal
0%100% (Ideal)
Ideal Capacity

1 Gbps

Effective Capacity

680 Mbps

Effective throughput is operating at 68% of ideal capacity. This pattern is consistent with MTU mismatch or buffer saturation, indicating early-stage capacity clipping before application impact.

Business Impact

Business Benefits

Key Metrics

32%

More Effective Capacity

Pre

Failure

MTU

Aware

24/7

Active

Prevent Stalled Sessions

Identify throughput risks before users experience spinning wheels.

Faster File Transfers

Optimize WAN and tunnel settings (like MTU) to maximize data velocity.

Smarter Capacity Decisions

Know exactly when you need to upgrade a link based on effective capacity, not just raw traffic.

Reduced Performance Complaints

Fix the 'it's slow' issues that standard monitoring can't see.

Improved App Consistency

Maintain a smooth experience for data-heavy apps like VDI and Video.

Applications

Ideal Use Cases

File transfer acceleration

Maximize transfer speeds

VPN and tunnel optimization

Optimize encrypted paths

Cloud storage access

Faster cloud operations

Backup and replication paths

Reliable data protection

Capacity-Aware

Stop guessing. Start measuring effective capacity.

Get throughput intelligence that predicts collapse before applications stall.

Estimate Throughput Risk

No credit card required • See results in minutes

TCI Analysis
Active
Effective: 680 MbpsIdeal: 1 Gbps

32%

More Capacity

Pre

Failure Alert

Stop Guessing. Start Predicting.

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