cschantz
61abf77b1a
- Created PHASE_4_ROADMAP.md with 22 planned checks - Identified top 12 quick wins for Phase 4 (30-40 hours) - Planned advanced database tuning (6 checks) - Planned error pattern detection (6 checks) - Created PROJECT_STATUS_SUMMARY.md - complete project overview - Documented all achievements and metrics - Provided deployment instructions - Listed all documentation files and git history - Ready for production deployment or Phase 4 expansion
436 lines
12 KiB
Markdown
436 lines
12 KiB
Markdown
# Phase 4 Implementation Roadmap
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## Advanced Database & Issue Pattern Checks
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**Date**: February 26, 2026
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**Current Status**: Ready for implementation
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**Target Coverage**: 92% → 93%
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**Estimated Effort**: 30-40 hours
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**Total New Checks**: 22 functions
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---
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## PHASE 4 SCOPE
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Phase 4 adds the highest-impact checks from the 40+ additional opportunities:
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- **Advanced Database Tuning** (12 checks)
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- **Issue Pattern Detection** (10 checks)
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---
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## TIER 1: QUICK WINS (Implement First - 15 hours)
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These 12 checks have clear implementation paths and high impact.
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### Database Quick Wins (6 checks)
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#### 1. `analyze_table_engine_mismatch()` [Database]
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**Impact**: HIGH | **Difficulty**: EASY | **Time**: 1.5 hours
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Detects MyISAM tables on InnoDB-configured servers (inconsistency increases query time).
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```bash
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# Implementation approach:
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# Query: SELECT DISTINCT ENGINE FROM information_schema.TABLES WHERE TABLE_SCHEMA = DATABASE()
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# Look for ENGINE != 'InnoDB' when SYS_DB_TYPE is InnoDB
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# Remediation: ALTER TABLE {table} ENGINE=InnoDB;
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```
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**Performance Impact**: 5-20% improvement if tables converted
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---
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#### 2. `analyze_table_statistics_age()` [Database]
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**Impact**: HIGH | **Difficulty**: EASY | **Time**: 1.5 hours
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Checks if table statistics are stale (causes query optimizer to make poor decisions).
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```bash
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# Implementation approach:
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# Query: SELECT * FROM mysql.innodb_table_stats
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# Check STAT_MODIFIED > CURRENT_DATE - INTERVAL 30 DAY
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# Remediation: ANALYZE TABLE {table};
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```
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**Performance Impact**: 10-30% improvement with fresh statistics
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---
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#### 3. `analyze_index_cardinality()` [Database]
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**Impact**: HIGH | **Difficulty**: MEDIUM | **Time**: 2 hours
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Identifies indexes with poor cardinality that won't be used by optimizer.
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```bash
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# Implementation approach:
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# Query: SELECT * FROM information_schema.STATISTICS
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# Calculate cardinality ratio: SEQ_IN_INDEX / CARDINALITY
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# Flag if ratio > 0.95 (poor selectivity)
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```
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**Performance Impact**: 15-40% improvement from index optimization
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---
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#### 4. `analyze_query_cache_memory_waste()` [Database]
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**Impact**: MEDIUM | **Difficulty**: EASY | **Time**: 1 hour
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Detects query cache fragmentation (MySQL 5.7).
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```bash
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# Implementation approach:
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# SHOW STATUS LIKE 'Qcache%'
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# Calculate waste: (Qcache_free_blocks / Qcache_total_blocks) * 100
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# Alert if > 30% fragmentation
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```
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**Performance Impact**: Better cache efficiency
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---
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#### 5. `analyze_replication_lag()` [Database]
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**Impact**: HIGH | **Difficulty**: MEDIUM | **Time**: 2 hours
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For replicated databases, check if replica is lagging (read performance impacts).
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```bash
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# Implementation approach:
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# SHOW SLAVE STATUS\G
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# Check Seconds_Behind_Master
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# Alert if > 10 seconds
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```
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**Performance Impact**: Critical for multi-server setups
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---
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#### 6. `analyze_table_size_growth()` [Database]
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**Impact**: MEDIUM | **Difficulty**: MEDIUM | **Time**: 2 hours
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Compares growth rate of tables to identify runaway logging tables.
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```bash
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# Implementation approach:
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# Track table size from INFORMATION_SCHEMA
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# Compare to 30 days ago (if accessible)
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# Alert if growth > 1GB/month
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```
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**Performance Impact**: Prevent disk exhaustion
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---
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### Issue Pattern Quick Wins (6 checks)
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#### 7. `analyze_timeout_errors()` [Error Patterns]
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**Impact**: HIGH | **Difficulty**: EASY | **Time**: 1 hour
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Counts timeout errors in error logs (indicates slowness issues).
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```bash
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# Implementation approach:
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# Parse error_log for "timeout" / "timed out"
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# Count in last 24 hours
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# Alert if count > 10
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```
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**Performance Impact**: Identifies actual customer impact
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---
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#### 8. `analyze_memory_exhaustion_attempts()` [Error Patterns]
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**Impact**: HIGH | **Difficulty**: EASY | **Time**: 1 hour
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Detects when PHP processes hit memory limits.
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```bash
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# Implementation approach:
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# Parse error_log for "Allowed memory size"
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# Count in last 24 hours
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# Remediation: Increase PHP memory_limit
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```
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**Performance Impact**: Prevents request failures
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---
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#### 9. `analyze_disk_inode_usage()` [System Resources]
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**Impact**: MEDIUM | **Difficulty**: EASY | **Time**: 1 hour
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Checks inode usage (filesystem performance degrades at high usage).
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```bash
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# Implementation approach:
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# df -i
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# Alert if usage > 80%
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# Remediation: Find and delete old logs, tmp files
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```
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**Performance Impact**: Filesystem performance impact
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---
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#### 10. `analyze_zombie_processes()` [System Resources]
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**Impact**: MEDIUM | **Difficulty**: EASY | **Time**: 1 hour
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Detects zombie PHP/MySQL processes (resource leak).
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```bash
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# Implementation approach:
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# ps aux | grep -c "Z "
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# Alert if count > 5
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# Remediation: Restart PHP-FPM / MySQL
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```
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**Performance Impact**: Frees up process slots
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---
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#### 11. `analyze_swap_usage()` [System Resources]
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**Impact**: HIGH | **Difficulty**: EASY | **Time**: 1 hour
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Detects if system is using swap (massive performance killer).
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```bash
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# Implementation approach:
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# free | grep Swap
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# If Swap_used > 0, alert CRITICAL
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# Remediation: Add more RAM or reduce memory usage
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```
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**Performance Impact**: 50-100x slower if using swap
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---
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#### 12. `analyze_load_average_trend()` [System Resources]
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**Impact**: MEDIUM | **Difficulty**: MEDIUM | **Time**: 1.5 hours
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Compares load average across 1/5/15 minute windows to detect trends.
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```bash
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# Implementation approach:
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# uptime command parsing
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# Calculate: load_5min / load_1min ratio
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# Alert if increasing trend (> 1.2x)
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```
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**Performance Impact**: Early warning system
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---
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## TIER 2: MEDIUM PRIORITY (Implement Second - 15 hours)
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Additional 10 checks with slightly more complex implementation.
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### Advanced Database (4 additional checks)
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#### 13. `analyze_foreign_key_validation()` [Database]
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**Impact**: MEDIUM | **Difficulty**: MEDIUM | **Time**: 2 hours
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Checks if foreign key constraints are impacting insert/update performance.
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#### 14. `analyze_trigger_count()` [Database]
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**Impact**: MEDIUM | **Difficulty**: MEDIUM | **Time**: 2 hours
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Detects excessive database triggers that slow down writes.
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#### 15. `analyze_procedure_optimization()` [Database]
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**Impact**: LOW | **Difficulty**: HARD | **Time**: 3 hours
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Analyzes stored procedures for performance issues.
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#### 16. `analyze_column_charset_consistency()` [Database]
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**Impact**: LOW | **Difficulty**: MEDIUM | **Time**: 2 hours
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Checks for charset inconsistencies causing query slowdowns.
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---
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### Issue Patterns (6 additional checks)
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#### 17. `analyze_gateway_timeout_patterns()` [Error Patterns]
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**Impact**: HIGH | **Difficulty**: EASY | **Time**: 1 hour
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Detects 504 Gateway Timeout errors in access log.
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#### 18. `analyze_database_connection_rejections()` [Error Patterns]
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**Impact**: HIGH | **Difficulty**: EASY | **Time**: 1 hour
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Counts "too many connections" errors in MySQL error log.
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#### 19. `analyze_plugin_fatal_errors()` [Error Patterns]
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**Impact**: MEDIUM | **Difficulty**: MEDIUM | **Time**: 2 hours
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Detects PHP fatal errors from specific plugins.
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#### 20. `analyze_dns_resolution_failures()` [Network]
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**Impact**: MEDIUM | **Difficulty**: MEDIUM | **Time**: 2 hours
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Checks for DNS timeout errors in logs.
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#### 21. `analyze_file_descriptor_exhaustion()` [System Resources]
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**Impact**: HIGH | **Difficulty**: MEDIUM | **Time**: 2 hours
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Detects when file descriptors are exhausted.
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#### 22. `analyze_concurrent_request_backlog()` [System Resources]
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**Impact**: MEDIUM | **Difficulty**: MEDIUM | **Time**: 2 hours
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Analyzes request queue depth from Apache/Nginx logs.
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---
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## IMPLEMENTATION ORDER
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**Day 1-2**: Implement Tier 1 Quick Wins (12 checks)
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- 6 Database checks (1.5-2 hours each)
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- 6 Issue Pattern checks (1-1.5 hours each)
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**Day 3-4**: Implement Tier 2 Medium Priority (10 checks)
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- 4 Advanced database checks (2-3 hours each)
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- 6 Issue pattern checks (1-2 hours each)
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**Day 5**: Integration & Testing (8 hours)
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- Add all 22 functions to extended-analysis-functions.sh
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- Add function calls to run_diagnostics()
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- Update remediation engine with new check patterns
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- Syntax validation & testing
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- Documentation update
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---
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## CODE STRUCTURE FOR TIER 1 QUICK WINS
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All new functions follow this pattern:
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```bash
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analyze_table_engine_mismatch() {
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local check_name="table_engine_mismatch"
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local finding_value=""
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local finding_severity="INFO"
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# Execute check
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local mismatched=$(mysql -e "SELECT DISTINCT ENGINE FROM information_schema.TABLES" 2>/dev/null | grep -vc "InnoDB")
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if [ "$mismatched" -gt 0 ]; then
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finding_value="Found $mismatched tables with non-InnoDB engine"
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finding_severity="WARNING"
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print_warning "Database: $finding_value"
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echo "$check_name|$finding_value|$finding_severity" >> "$TEMP_DIR/findings.tmp"
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fi
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}
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# Export function
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export -f analyze_table_engine_mismatch
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```
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---
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## INTEGRATION POINTS
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### 1. Add to extended-analysis-functions.sh
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- All 22 new functions after existing 32 functions
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- Maintain same naming convention
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- Add proper error handling
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### 2. Add to website-slowness-diagnostics.sh
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In the `run_diagnostics()` function, add new calls:
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```bash
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# Phase 4: Advanced Database Analysis (12 checks)
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print_section "ADVANCED DATABASE ANALYSIS"
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analyze_table_engine_mismatch
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analyze_table_statistics_age
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analyze_index_cardinality
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analyze_query_cache_memory_waste
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analyze_replication_lag
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analyze_table_size_growth
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analyze_foreign_key_validation
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analyze_trigger_count
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analyze_procedure_optimization
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analyze_column_charset_consistency
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# Phase 4: Issue Pattern Detection (10 checks)
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print_section "ERROR PATTERN & SYSTEM RESOURCE ANALYSIS"
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analyze_timeout_errors
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analyze_memory_exhaustion_attempts
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analyze_disk_inode_usage
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analyze_zombie_processes
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analyze_swap_usage
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analyze_load_average_trend
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analyze_gateway_timeout_patterns
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analyze_database_connection_rejections
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analyze_plugin_fatal_errors
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analyze_dns_resolution_failures
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analyze_file_descriptor_exhaustion
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analyze_concurrent_request_backlog
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```
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### 3. Remediation Engine Updates
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Add new case statements to `generate_remediation()` for:
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- table_engine_mismatch
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- swap_usage (CRITICAL)
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- zombie_processes
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- timeout_errors
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- memory_exhaustion_attempts
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- file_descriptor_exhaustion
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Each with specific remediation commands.
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---
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## TESTING CHECKLIST
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- [ ] All 22 functions pass syntax validation
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- [ ] Database functions work with MySQL 5.7, 8.0, MariaDB 10.5
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- [ ] Error log parsing works with Apache, Nginx, PHP-FPM
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- [ ] System resource checks work on CentOS/Ubuntu/Debian
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- [ ] All remediation recommendations are accurate
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- [ ] No false positives on clean systems
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- [ ] Performance impact < 5 seconds for all checks
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- [ ] Proper error handling when databases/logs unavailable
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---
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## DOCUMENTATION UPDATES
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After implementation:
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1. Update REMEDIATION_MAPPING.md to include 22 new checks
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2. Update REMEDIATION_MASTER_INDEX.md with new coverage: 86+ checks (93%)
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3. Update IMPLEMENTATION_COMPLETE.md with Phase 4 status
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4. Create PHASE_4_COMPLETION.md with detailed results
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---
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## COMMIT STRATEGY
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```bash
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git add modules/website/lib/extended-analysis-functions.sh
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git add modules/website/website-slowness-diagnostics.sh
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git add modules/website/lib/remediation-engine.sh
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git add docs/PHASE_4_ROADMAP.md
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git commit -m "Phase 4: Add 22 advanced database and issue pattern checks
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- Added 12 database analysis functions
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- Added 10 error pattern detection functions
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- Coverage: 92% -> 93% (86+ total checks)
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- All functions follow existing patterns
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- Comprehensive remediation recommendations
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"
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```
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---
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## NEXT: Phase 5 & 6
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After Phase 4 completion:
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- **Phase 5** (18 checks): Content & Network analysis (95% coverage) - 30 hours
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- **Phase 6** (22 checks): Framework-specific & System (97%+ coverage) - 40 hours
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Full implementation: ~110 hours additional effort from Phase 4 baseline
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---
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**Status**: Ready to implement
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**Recommendation**: Start with Tier 1 Quick Wins (12 checks) for quick 1-2 day implementation
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