infrastructure-maintenance-procedures.md

Infrastructure Maintenance Procedures

Overview

This document outlines the maintenance procedures for the DevMem infrastructure after Stories 1.2-1.5 simplification.

Daily Maintenance

Memory System Monitoring

1. Check memory file integrity:
   • coordination-hub.md exists and is readable
   • domain-intelligence.md exists and is readable
2. Monitor performance metrics:
   • Memory access time (<25ms)
   • Cache hit ratio (>95%)
   • Context preservation (>97%)
3. Review system health:

   ./scripts/system/simple_health_check.sh

Agent Framework Health

1. Verify all agents are available
2. Check agent selection performance (<1s)
3. Monitor coordination success rates (>90%)
4. Review agent performance metrics

Weekly Maintenance

Performance Validation

1. Run full test suite:

   pytest

2. Review performance metrics:

   ./scripts/performance/performance_summary.sh

3. Validate coordination patterns
4. Check integration test results

System Updates

1. Backup current state:

   ./scripts/system/backup_system.sh

2. Apply any pending updates
3. Run health checks
4. Verify functionality
5. Update documentation if needed

Monthly Maintenance

System Optimization

1. Review performance trends
2. Identify optimization opportunities
3. Implement performance improvements
4. Update baselines if needed

Documentation Review

1. Verify documentation accuracy
2. Update performance metrics
3. Review troubleshooting guides
4. Update maintenance procedures

Security Review

1. Check security patterns
2. Review access controls
3. Validate security testing
4. Update security documentation

Quarterly Maintenance

Infrastructure Review

1. Full system analysis
2. Performance optimization
3. Capacity planning
4. Architecture review

Compliance Validation

1. Check Anthropic standards compliance
2. Validate Claude Code compatibility
3. Review framework integration
4. Update compliance documentation

Update Procedures

Memory System Updates

1. Create backup of current memory files
2. Apply updates using single-file approach
3. Validate updates:
   • Check file integrity
   • Run performance tests
   • Verify functionality
4. Update documentation

Agent Framework Updates

1. Backup current agent files
2. Apply updates
3. Validate agent functionality:
   • Selection accuracy
   • Coordination patterns
   • Performance metrics
4. Update documentation

Configuration Updates

1. Backup .claude/settings.json
2. Apply configuration changes
3. Validate changes:
   • System functionality
   • Performance impact
   • Integration tests
4. Update documentation

Emergency Procedures

System Recovery

1. Stop affected services
2. Assess impact
3. Load latest backup
4. Verify restoration
5. Document incident

Performance Issues

1. Run health check
2. Identify bottlenecks
3. Apply fixes
4. Validate performance
5. Update documentation

Success Metrics

Performance Targets

• Memory access: <25ms
• Cache hit ratio: >95%
• Context preservation: >97%
• Agent selection: <1s
• Coordination success: >90%

Health Indicators

• System availability: >99.9%
• Test coverage: >80%
• Documentation accuracy: 100%
• Compliance rate: 100%

Essential Commands

Health Checks

# Basic health check
./scripts/system/simple_health_check.sh

# Comprehensive check
./scripts/system/system_health.sh

# Performance validation
./scripts/performance/performance_summary.sh

System Management

# Backup system
./scripts/system/backup_system.sh

# Restore from backup
./scripts/system/restore_system.sh

# Performance monitoring
./scripts/performance/monitor_performance.sh

Testing

# Run all tests
pytest

# Run specific test categories
pytest tests/test_epic4_result_integration.py
pytest tests/test_s4_1_hierarchical_communication.py