k6 Load Testing and Performance Analysis

# Load Testing with k6
# Configure, run load test, analyze metrics, report, alert on regression
osop_version: "2.0"
id: load-test-k6
name: k6 Load Testing and Performance Analysis

nodes:
  - id: configure_k6
    type: cli
    purpose: Prepare k6 test scripts and thresholds configuration
    runtime:
      command: >
        k6 inspect --execution-requirements scripts/load-test.js
    outputs: [test_config, baseline_thresholds]
    timeout_sec: 30

  - id: run_load_test
    type: cli
    purpose: Execute k6 load test against target environment
    runtime:
      command: >
        k6 run scripts/load-test.js
        --out json=results.json
        --out csv=results.csv
        --vus 100 --duration 5m
      env:
        K6_TARGET_URL: "https://staging.example.com"
    inputs: [test_config]
    outputs: [raw_results, summary_metrics]
    timeout_sec: 600
    explain: |
      Runs with 100 virtual users for 5 minutes.
      Outputs both JSON (for analysis) and CSV (for reporting).

  - id: analyze_metrics
    type: agent
    purpose: Analyze load test results and compare against baselines
    runtime:
      provider: openai
      model: gpt-4
    inputs: [raw_results, baseline_thresholds]
    outputs: [analysis_report, regression_detected]
    explain: |
      The AI agent compares p95 latency, error rates, and throughput
      against historical baselines. It identifies regressions and
      provides recommendations for performance improvements.

  - id: generate_report
    type: cli
    purpose: Generate visual performance report with charts
    runtime:
      command: >
        k6 report results.json --output report.html
    inputs: [raw_results, analysis_report]
    outputs: [report_file]

  - id: upload_report
    type: api
    purpose: Upload performance report to shared storage
    runtime:
      endpoint: s3-upload
      method: PUT
      url: "https://s3.amazonaws.com/perf-reports/{{run_id}}/report.html"
    inputs: [report_file]
    outputs: [report_url]

  - id: alert_regression
    type: api
    purpose: Alert engineering team about performance regression
    runtime:
      endpoint: pagerduty
      method: POST
      url: "https://events.pagerduty.com/v2/enqueue"
    inputs: [analysis_report, report_url]
    security:
      credentials_source: env_var

edges:
  - from: configure_k6
    to: run_load_test
    mode: sequential

  - from: run_load_test
    to: analyze_metrics
    mode: sequential

  - from: analyze_metrics
    to: generate_report
    mode: sequential

  - from: generate_report
    to: upload_report
    mode: sequential

  - from: upload_report
    to: alert_regression
    mode: conditional
    condition: "regression_detected == true"