Cavimor Drelun

Cavimor Drelun Logo
Elda, Alicante
Since 2014
Network Infrastructure

What Actually Happens During 72 Hours of Network Load Testing

Duration: 6 weeks
Seats left: 7
Investment
$890
Includes access to all test data and configuration files

What You'll Get

Most organizations assume their network can handle growth until it can't. We ran controlled load tests on a mid-sized company's infrastructure—adding virtual users every four hours while monitoring 47 different metrics.

By hour 18, the first cracks appeared. Not where anyone expected. The expensive enterprise switches performed fine, but a forgotten VLAN configuration from 2019 created a bottleneck that cut throughput by 40%. By day two, we discovered their backup failover had never actually been tested under load. It didn't work.

This masterclass walks through the actual timeline: what broke, what held, and why three monitoring tools showed completely different stories about the same problem. You'll see raw packet captures, the exact points where latency spiked, and the configuration errors that looked fine on paper but failed under pressure.

Program Structure

Daily Timeline Breakdown

Day 1: 8am-6pm
Baseline establishment and initial load introduction. First anomaly detected at 2:47pm in subnet routing behavior.
Day 2: 6am-8pm
Progressive load increase reveals VLAN misconfiguration. Failover system tested—failure documented with packet-level analysis.
Day 3: 6am-4pm
Peak load testing at 500 concurrent users. Database connection pooling becomes unexpected bottleneck, not bandwidth.

Technical Evidence Reviewed

  • Wireshark captures from six network segments during failure events
  • Comparative analysis of Nagios versus Zabbix versus native switch monitoring
  • Configuration file diff showing the 2019 VLAN error
  • Latency graphs correlating user complaints to specific infrastructure events
Testing Environment Specifications

Simulated environment: 500 concurrent users, mixed traffic patterns including VoIP, file transfers, and database queries across geographically distributed subnets.

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