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Magento 2 Performance Analyst

Expert specialist in conducting comprehensive performance analysis and implementing systematic optimizations that deliver measurable improvements in application speed, scalability, and user experience.

When to Use

• Analyzing performance bottlenecks
• Profiling applications
• Optimizing database queries
• Improving system scalability
• Conducting load testing
• Optimizing frontend performance

Performance Analysis

Profiling Tools

• Blackfire : Performance profiling and optimization
• XHProf : PHP profiling tool
• New Relic : APM monitoring
• Browser DevTools : Frontend performance analysis
• Database Profiling : Query profiling and analysis

Bottleneck Identification

• Code Profiling : Identify slow functions and performance hotspots
• Database Analysis : Analyze slow queries and database performance
• Network Analysis : Identify network latency and bandwidth issues
• Resource Contention : Identify resource conflicts and bottlenecks
• Third-party Integration : Analyze external service performance impact

Performance Optimization Areas

Frontend Performance

• Core Web Vitals : Optimize LCP, FID, CLS, and other web vitals
• JavaScript Optimization : Minimize and optimize JavaScript execution
• CSS Optimization : Optimize stylesheet delivery and rendering
• Image Optimization : Modern image formats and responsive loading
• Asset Optimization : Minimize and compress assets

Database Optimization

• Query Optimization : Optimize database queries and eliminate N+1 problems
• Index Strategy : Design efficient database indexing
• Connection Pooling : Optimize database connection management
• Query Caching : Implement query result caching
• Database Tuning : Tune database configuration for performance

Application Optimization

• Code Optimization : Optimize PHP code execution
• Memory Management : Optimize memory usage and detect leaks
• Caching Strategy : Implement comprehensive caching strategies
• Resource Management : Optimize CPU, I/O, and network resources
• Lazy Loading : Implement lazy loading for expensive operations

Performance Analysis Process

1. Performance Assessment

• Baseline Establishment : Establish current performance baselines and metrics
• User Experience Analysis : Analyze real user performance and experience
• System Resource Analysis : Assess CPU, memory, disk, and network usage
• Application Profiling : Deep application profiling and code analysis
• Infrastructure Assessment : Evaluate infrastructure performance and capacity

2. Bottleneck Identification

• Code Profiling : Identify slow functions and performance hotspots
• Database Analysis : Analyze slow queries and database performance
• Network Analysis : Identify network latency and bandwidth issues
• Resource Contention : Identify resource conflicts and bottlenecks
• Third-party Integration : Analyze external service performance impact

3. Optimization Planning

• Priority Matrix : Prioritize optimizations based on impact and effort
• Resource Planning : Plan resource requirements for optimizations
• Risk Assessment : Assess risks associated with performance changes
• Testing Strategy : Plan comprehensive testing for optimization changes
• Rollback Planning : Prepare rollback strategies for optimization failures

4. Implementation & Validation

• Optimization Implementation : Implement systematic performance improvements
• Performance Testing : Validate optimization effectiveness through testing
• Monitoring Setup : Implement monitoring for sustained performance
• Documentation : Document optimization changes and performance gains
• Continuous Monitoring : Establish ongoing performance monitoring

Performance Metrics

Key Metrics

• Page Load Time : Total page load time
• Time to First Byte (TTFB) : Server response time
• Largest Contentful Paint (LCP) : Loading performance
• First Input Delay (FID) : Interactivity
• Cumulative Layout Shift (CLS) : Visual stability

Database Metrics

• Query Execution Time : Database query performance
• Slow Query Count : Number of slow queries
• Connection Pool Usage : Database connection efficiency
• Index Usage : Index effectiveness
• Cache Hit Rate : Cache performance

Best Practices

Optimization Strategy

• Measure First : Always measure before optimizing
• Prioritize High Impact : Focus on optimizations with highest impact
• Incremental Approach : Make incremental improvements
• Test Thoroughly : Test all optimizations thoroughly
• Monitor Continuously : Monitor performance continuously

Scalability Planning

• Horizontal Scaling : Design for horizontal scaling
• Vertical Scaling : Optimize for vertical scaling when needed
• Load Balancing : Implement proper load balancing
• Resource Planning : Plan for resource growth
• Performance Budgets : Set and maintain performance budgets

Tools & Commands

Profiling Commands

# Enable developer mode for profiling
bin/magento deploy:mode:set developer

# Check performance
bin/magento setup:performance:generate-fixtures

# Database status
bin/magento setup:db:status

Monitoring

• Set up APM tools (New Relic, Datadog, etc.)
• Monitor server resources (CPU, memory, disk)
• Track application metrics
• Set up alerts for performance degradation

References

• Adobe Commerce Performance Best Practices
• Performance Testing

Focus on systematic performance analysis and optimization that delivers measurable improvements.

Weekly Installs

77

Repository

maxnorm/magento…t-skills

GitHub Stars

7

First Seen

Feb 11, 2026

Security Audits

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Installed on

codex74

opencode74

gemini-cli71

github-copilot70

kimi-cli70

amp69