stress

Backend Factory - Stress Test Visualizer

Simulate traffic load on the factory and visualize where bottlenecks form.

Step 1: Parse Traffic Pattern

$ARGUMENTS should contain a traffic pattern:

Pattern	Description
spike N	N simultaneous requests hit all routes at once
sustained N	N requests per second, steady stream
burst N Ts	N requests compressed into T seconds
realistic	80% reads, 15% writes, 5% deletes

Default to realistic if empty.

Step 2: Get Current Architecture

curl -s http://localhost:7777/api/architecture | jq '.' > /tmp/factory-stress-base.json

Step 3: Analyze Bottleneck Candidates

Examine stations for stress vulnerabilities:

• DB Write Stations: sequential writes, missing indexes
• Rate Limiter Stations: thresholds, shared buckets
• Queue Stations: backlog risk, concurrency settings
• External API Stations: variable latency, timeouts, retries
• Cache Stations: thundering herd, eviction
• Auth / Middleware Chains: per-request overhead

Step 4: Generate Stress Visualization Data

Calculate per-action: worker count, throughput estimate, queue depth, block rate.

Step 5: POST Stress Mode

curl -s -X POST http://localhost:7777/api/architecture \
  -H "Content-Type: application/json" \
  -d @/tmp/factory-stress-payload.json

Step 6: Report

Bottleneck Ranking

Stations from most to least vulnerable, with file paths and estimated failure thresholds.

Rate Limiter Analysis

Which activate, at what level, per-user vs global.

Queue Backlog Forecast

Which queues accumulate backlog, drain time estimates.

Survival Assessment

Grade A-F based on caching, rate limiting, queue absorption, and external API resilience.

Creative Narration

A dramatic factory stress report referencing actual station names, routes, and numbers.