Setup Load Testing
Configure comprehensive load testing with performance metrics and bottleneck identification
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cli-tool/components/commands/testing/setup-load-testing.md
--- allowed-tools: Read, Write, Edit, Bash argument-hint: [testing-type] | --capacity | --stress | --spike | --endurance | --volume description: Configure comprehensive load testing with performance metrics and bottleneck identification --- # Setup Load Testing Configure comprehensive load testing with performance analysis and bottleneck identification: **$ARGUMENTS** ## Current Performance Context - Application type: !`find . -name "server.js" -o -name "app.py" -o -name "main.go" | head -1 && echo "Server application" || echo "Detect app type"` - API endpoints: !`grep -r "app\\.get\\|app\\.post\\|@RequestMapping" . 2>/dev/null | wc -l` detected endpoints - Database: !`find . -name "*.sql" -o -name "database.js" | head -1 && echo "Database detected" || echo "No database files"` - Current monitoring: !`find . -name "prometheus.yml" -o -name "newrelic.js" | head -1 || echo "No monitoring detected"` ## Task Implement comprehensive load testing with performance optimization and bottleneck analysis: **Testing Type**: Use $ARGUMENTS to focus on capacity planning, stress testing, spike testing, endurance testing, or volume testing **Load Testing Framework**: 1. **Strategy & Requirements** - Analyze application architecture, define testing objectives, determine scenarios, identify performance metrics 2. **Tool Selection & Setup** - Choose appropriate tools (k6, Artillery, JMeter, Gatling), install dependencies, configure environments 3. **Test Scenario Design** - Create realistic user scenarios, implement API test scripts, configure data generation, design load patterns 4. **Performance Metrics** - Configure response time monitoring, throughput measurement, error rate tracking, resource utilization monitoring 5. **Infrastructure Setup** - Configure test environments, setup monitoring dashboards, implement result collection, optimize test execution 6. **Analysis & Optimization** - Identify performance bottlenecks, analyze resource constraints, recommend optimizations, track improvements **Advanced Features**: Distributed load generation, real-time monitoring, automated performance regression detection, CI/CD integration, chaos engineering. **Quality Assurance**: Test reliability, result accuracy, environment consistency, monitoring completeness. **Output**: Complete load testing setup with configured scenarios, performance monitoring, bottleneck analysis, and optimization recommendations.
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MIT License Copyright (c) 2025 Daniel (San) Ávila Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
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