What happens to call quality as concurrent load climbs? Do you know — or hope?
Your infrastructure handles today's traffic. Business is growing. At what point does audio and video quality degrade? You won't know until customers complain — unless you test first. CallMeter incrementally increases load, measures quality at each step, and identifies the exact inflection point. Run from CallMeter cloud or deploy workers on your own infrastructure to test from the production network path.
What CallMeter Delivers
Incremental Load Ramping
Step concurrent calls up from your baseline toward your target, measuring quality across 90+ dimensions at every step.
Quality Inflection Point Detection
Identify the exact call count where quality scores drop below acceptable thresholds. Know your ceiling before your customers find it.
Continuous Monitoring After Testing
Once you know your limits, set up continuous probes that validate you stay within safe thresholds as traffic grows organically.
Know Your Infrastructure's True Limits: A Deep Dive
The Problem
You know your infrastructure handles today's traffic. But growth means more concurrent calls, and you don't know where voice and video quality starts to degrade. Waiting for customer complaints to discover capacity limits is expensive and reputationally damaging.
How CallMeter Solves It
Incrementally ramp concurrent load from your baseline toward your target. At each step, CallMeter measures quality across 90+ dimensions. When quality drops, it identifies the inflection point and root-causes the bottleneck — bandwidth, session limits, or codec overhead.
What You Get
A capacity profile for your infrastructure. The exact call count where quality degrades, the bottleneck that causes it, and evidence to justify expansion budget to leadership.
How It Works, Step by Step
Baseline
Establish current call volume and quality measurements.
Ramp
Incrementally increase concurrent load, step by step, toward your target.
Identify
Find the inflection point where quality drops below threshold.
Plan
Use bottleneck analysis to plan targeted expansion.
Before vs. After CallMeter
| Metric | Without CallMeter | With CallMeter |
|---|---|---|
| Capacity ceiling discovery | Customer complaints | Proactive load testing |
| Expansion justification | Estimates and guesses | Measured inflection point data |
| Bottleneck identification | Unknown until failure | Root-caused during testing |
Key Metrics You Get
Without CallMeter
Customers discover capacity limits before you do
With CallMeter
Capacity ceiling known and planned for in advance