# Scenario Matrix Template

## About

A **Scenario Matrix Template** for **Spike Testing** organizes test cases that evaluate how a system responds to **sudden, sharp increases or decreases in load**.\
Unlike stress testing, which looks for the breaking point under sustained heavy load, spike testing focuses on **instantaneous load surges** and the system’s **ability to recover quickly**.

This matrix ensures:

* The system can handle **unexpected traffic bursts** without crashing
* Response times and error rates remain within acceptable limits during spikes
* Recovery is quick once the spike subsides
* Auto-scaling or resource allocation mechanisms work effectively

Spike testing scenarios often simulate **flash sales, breaking news events, viral social media traffic, and sudden API call bursts**.

## Template

<table data-header-hidden data-full-width="true"><thead><tr><th></th><th></th><th width="137.203125"></th><th></th><th></th><th></th><th></th><th></th></tr></thead><tbody><tr><td><strong>Scenario ID</strong></td><td><strong>Scenario Description</strong></td><td><strong>Preconditions</strong></td><td><strong>Test Data / Inputs</strong></td><td><strong>Steps to Execute</strong></td><td><strong>Expected Result</strong></td><td><strong>Priority</strong></td><td><strong>Remarks</strong></td></tr><tr><td>SPK-01</td><td>Sudden 10x traffic surge on main API</td><td>Baseline load established</td><td>Target spike user count</td><td>Ramp up users instantly to 10x normal</td><td>System maintains stability or degrades gracefully</td><td>High</td><td>Simulates viral traffic</td></tr><tr><td>SPK-02</td><td>Instantaneous high-volume DB queries</td><td>Database populated with large data</td><td>Heavy query set</td><td>Trigger large number of queries instantly</td><td>DB handles spike without major delays</td><td>High</td><td>Checks DB spike resilience</td></tr><tr><td>SPK-03</td><td>Multiple concurrent user workflows spike</td><td>Application with login/transaction</td><td>Virtual user scripts</td><td>Simulate full workflow spike</td><td>Workflows execute successfully under burst</td><td>High</td><td>End-to-end spike validation</td></tr><tr><td>SPK-04</td><td>File upload spike</td><td>File handling module enabled</td><td>Multiple large files</td><td>Upload all files simultaneously</td><td>Uploads complete or queue without failure</td><td>Medium</td><td>Validates I/O spike handling</td></tr><tr><td>SPK-05</td><td>External API spike handling</td><td>Sandbox API available</td><td>Burst of external calls</td><td>Send requests at maximum possible rate</td><td>System handles delays or rate limits gracefully</td><td>Medium</td><td>Ensures API integration stability</td></tr><tr><td>SPK-06</td><td>Spike with network degradation</td><td>Network simulation tools ready</td><td>High latency setup</td><td>Apply spike under degraded network</td><td>Performance drops gracefully, no crashes</td><td>Low</td><td>Real-world poor network condition</td></tr><tr><td>SPK-07</td><td>Auto-scaling validation during spike</td><td>Auto-scaling configured</td><td>Spike trigger threshold</td><td>Generate spike to trigger scaling</td><td>Additional resources provisioned in time</td><td>High</td><td>Tests cloud scaling readiness</td></tr><tr><td>SPK-08</td><td>Multiple spikes in quick succession</td><td>Load tool with custom pattern</td><td>Repeated spike pattern</td><td>Trigger spikes at short intervals</td><td>System remains stable through repeated bursts</td><td>Medium</td><td>Validates resilience to repeated surges</td></tr><tr><td>SPK-09</td><td>Recovery time after spike</td><td>Spike completed</td><td>Return to baseline load</td><td>Measure system stabilization time</td><td>System returns to normal quickly</td><td>High</td><td>Confirms quick recovery capability</td></tr><tr><td>SPK-10</td><td>Combined spike on multiple services</td><td>Multi-service environment</td><td>Service load profiles</td><td>Trigger spikes on multiple services</td><td>All services remain operational</td><td>Medium</td><td>Simulates multi-point failure risk</td></tr></tbody></table>


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