agentic-data-stack-community/data-core/checklists/performance-checklist.md

AI Agentic Data Stack Framework - Community Edition. Open source data engineering framework with 4 core agents, essential templates, and 3-dimensional quality validation.

# Performance Checklist - Community Edition

## Overview
Essential performance optimization and validation checklist for community data projects.

**Checklist ID**: `performance-checklist-community`  
**Version**: 1.0.0  
**Category**: Performance & Optimization  
**Created**: 2025-01-24

## Performance Requirements Definition

### Performance Targets
- [ ] **Response Time Goals**: Maximum acceptable response times defined
- [ ] **Throughput Requirements**: Data processing volume requirements specified
- [ ] **Concurrency Targets**: Expected concurrent user/process limits defined
- [ ] **Availability Goals**: System uptime requirements established
- [ ] **Resource Constraints**: Available hardware/cloud resource limits identified

### Performance Baselines
- [ ] **Current State Measured**: Existing system performance documented
- [ ] **Baseline Metrics**: Key performance metrics baseline established
- [ ] **Benchmark Data**: Performance benchmark tests conducted
- [ ] **Capacity Assessment**: Current capacity utilization measured
- [ ] **Growth Projections**: Expected growth patterns documented

## Database Performance

### Query Optimization
- [ ] **Query Analysis**: Critical queries identified and analyzed
- [ ] **Index Strategy**: Appropriate database indexes created
- [ ] **Query Plans**: Execution plans reviewed and optimized
- [ ] **Slow Query Detection**: Slow query monitoring implemented
- [ ] **Query Caching**: Query result caching implemented where appropriate

### Database Design
- [ ] **Schema Optimization**: Database schema optimized for performance
- [ ] **Partitioning Strategy**: Table partitioning implemented where beneficial
- [ ] **Connection Pooling**: Database connection pooling configured
- [ ] **Transaction Optimization**: Transaction scope minimized
- [ ] **Backup Performance**: Backup/restore performance tested

### Data Storage
- [ ] **Storage Performance**: Storage I/O performance validated
- [ ] **Data Compression**: Data compression strategies evaluated
- [ ] **Archive Strategy**: Data archiving strategy for performance implemented
- [ ] **Hot/Cold Storage**: Hot and cold data storage strategy defined
- [ ] **Cleanup Procedures**: Regular data cleanup procedures implemented

## Application Performance

### Code Optimization
- [ ] **Algorithm Efficiency**: Critical algorithms reviewed for efficiency
- [ ] **Memory Management**: Memory usage patterns optimized
- [ ] **Resource Cleanup**: Proper resource cleanup implemented
- [ ] **Caching Strategy**: Application-level caching implemented
- [ ] **Asynchronous Processing**: Non-blocking operations implemented where appropriate

### Data Processing Performance
- [ ] **Batch Processing**: Batch size optimization performed
- [ ] **Parallel Processing**: Parallel processing implemented where beneficial
- [ ] **Stream Processing**: Real-time processing optimized
- [ ] **Data Transformation**: ETL transformation performance optimized
- [ ] **Error Handling**: Error handling optimized to minimize performance impact

### API Performance
- [ ] **Response Times**: API response times within target thresholds
- [ ] **Rate Limiting**: API rate limiting implemented
- [ ] **Request Optimization**: Request/response payload sizes optimized
- [ ] **Authentication Performance**: Authentication mechanisms optimized
- [ ] **API Caching**: API response caching implemented

## Infrastructure Performance

### System Resources
- [ ] **CPU Utilization**: CPU usage patterns analyzed and optimized
- [ ] **Memory Allocation**: Memory allocation patterns optimized
- [ ] **Disk I/O**: Disk I/O patterns analyzed and optimized
- [ ] **Network Performance**: Network latency and bandwidth optimized
- [ ] **Resource Monitoring**: Continuous resource monitoring implemented

### Scalability Planning
- [ ] **Horizontal Scaling**: Horizontal scaling strategy defined
- [ ] **Vertical Scaling**: Vertical scaling options identified
- [ ] **Load Balancing**: Load balancing strategy implemented
- [ ] **Auto-scaling**: Basic auto-scaling rules configured (if applicable)
- [ ] **Capacity Planning**: Future capacity needs projected

### Cloud Optimization (if applicable)
- [ ] **Instance Types**: Optimal cloud instance types selected
- [ ] **Storage Classes**: Appropriate storage classes selected
- [ ] **Network Configuration**: Network configuration optimized
- [ ] **Cost Optimization**: Performance vs. cost trade-offs evaluated
- [ ] **Regional Optimization**: Optimal regions/zones selected

## Performance Testing

### Load Testing
- [ ] **Load Test Plan**: Comprehensive load testing plan created
- [ ] **Realistic Scenarios**: Load tests simulate realistic usage patterns
- [ ] **Peak Load Testing**: System tested under peak load conditions
- [ ] **Sustained Load Testing**: System tested under sustained load
- [ ] **Load Test Results**: Load test results analyzed and documented

### Stress Testing
- [ ] **Stress Test Scenarios**: Stress test scenarios defined
- [ ] **Breaking Point Identification**: System breaking points identified
- [ ] **Resource Exhaustion Testing**: Resource exhaustion scenarios tested
- [ ] **Recovery Testing**: System recovery after stress tested
- [ ] **Stress Test Documentation**: Stress test results documented

### Performance Regression Testing
- [ ] **Automated Performance Tests**: Automated performance tests implemented
- [ ] **Performance Baselines**: Performance regression baselines maintained
- [ ] **Continuous Testing**: Performance tests integrated into CI/CD pipeline
- [ ] **Performance Alerts**: Performance degradation alerts configured
- [ ] **Trend Analysis**: Performance trend analysis implemented

## Monitoring and Optimization

### Performance Monitoring
- [ ] **Real-time Monitoring**: Real-time performance monitoring active
- [ ] **Performance Dashboards**: Performance dashboards implemented
- [ ] **Alerting Thresholds**: Performance alert thresholds configured
- [ ] **Historical Analysis**: Historical performance data analysis capability
- [ ] **Performance Reports**: Regular performance reports generated

### Continuous Optimization
- [ ] **Optimization Opportunities**: Regular optimization opportunity identification
- [ ] **Performance Tuning**: Ongoing performance tuning process established
- [ ] **Best Practices**: Performance best practices documented and followed
- [ ] **Knowledge Sharing**: Performance lessons learned shared with team
- [ ] **Tools and Techniques**: Performance optimization tools and techniques evaluated

## User Experience Performance

### Frontend Performance (if applicable)
- [ ] **Page Load Times**: Web page load times optimized
- [ ] **Resource Optimization**: CSS/JavaScript resources optimized
- [ ] **Image Optimization**: Image sizes and formats optimized
- [ ] **Caching Strategy**: Browser caching strategy implemented
- [ ] **CDN Usage**: Content delivery network utilized where appropriate

### Data Delivery Performance
- [ ] **Data Freshness**: Data delivery timeliness meets user expectations
- [ ] **Report Generation**: Report generation performance optimized
- [ ] **Dashboard Loading**: Dashboard loading performance optimized
- [ ] **Export Performance**: Data export performance optimized
- [ ] **Search Performance**: Data search and filtering performance optimized

## Documentation and Knowledge Transfer

### Performance Documentation
- [ ] **Performance Architecture**: Performance architecture documented
- [ ] **Optimization Techniques**: Applied optimization techniques documented
- [ ] **Configuration Settings**: Performance-related configuration documented
- [ ] **Troubleshooting Guide**: Performance troubleshooting guide created
- [ ] **Best Practices**: Performance best practices documented

### Team Knowledge
- [ ] **Team Training**: Team trained on performance best practices
- [ ] **Performance Culture**: Performance-focused culture established
- [ ] **Review Processes**: Performance review processes implemented
- [ ] **Knowledge Base**: Performance knowledge base maintained
- [ ] **Continuous Learning**: Ongoing performance learning initiatives

## Sign-off

**Performance Validation Approved By:**
- [ ] Technical Lead: _________________ Date: _________
- [ ] Performance Engineer: ___________ Date: _________
- [ ] Business Owner: _______________ Date: _________

**Performance Review Schedule:**
- [ ] Weekly Monitoring: ______________
- [ ] Monthly Reviews: _______________
- [ ] Quarterly Optimization: _________

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*This community edition performance checklist covers essential optimization practices. For enterprise-grade performance with advanced profiling, automated optimization, and comprehensive performance engineering, consider the Enterprise Edition.*