Analyzing Results
Review performance metrics, execution logs, and AI-generated insights from completed load tests.
Performance Overview
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Key metrics:
- Total requests and request rate (req/s)
- Response time percentiles (p50, p90, p95, p99)
- Error rate and failed requests
- Data transfer (sent/received) and throughput
- Virtual user activity and utilization
- Threshold status (passed/failed)
Performance Charts
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Visual representations of response time, request rate, error rate, VU activity, and throughput over test duration. Hover for precise values, zoom for detailed analysis, and export for reporting.
Execution Logs
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Review request logs, error messages, and system events. Filter by log level, timestamp, URL, status code, or VU ID. Search across all entries or export filtered logs.
Script View
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Reference the exact k6 script that was executed. Copy, download, or clone the test configuration for future use.
AI-Generated Report
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AI analyzes test results and generates actionable insights.
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Report contents:
- Executive summary with pass/fail status
- Performance highlights and critical issues
- Endpoint performance breakdown
- Bottleneck analysis (slowest endpoints, highest error rates)
- Optimization recommendations
- Threshold evaluation
PDF Export
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Generate PDF reports with test metadata, metrics, charts, AI insights, and script reference. Download, share via link, email to team members, or archive for compliance.
Common Patterns
Increasing response times:
- Memory leaks or resource saturation
- Database connection exhaustion
- Cache inefficiency
High error rates:
- Service capacity exceeded
- Authentication failures
- Rate limiting or throttling
- Network timeouts
Inconsistent performance:
- Cache hits vs. misses variance
- Background job interference
- Resource contention
- Network latency variation
Next Steps
- Getting Started - Create your next test
- AI Assistant - Generate tests with natural language
- Running Tests - Execute and monitor tests