# Administration & Deployment Comprehensive Guide - Claude PM Framework

## Overview

This comprehensive guide covers all system administration and deployment aspects of the Claude PM Framework v4.5.1, including QA deployment procedures, environment variable migration, service lifecycle management, and system administration best practices.

## Table of Contents

1. [QA Deployment Procedures](#qa-deployment-procedures)
2. [Environment Variable Migration](#environment-variable-migration)
3. [Service Lifecycle Management](#service-lifecycle-management)
4. [System Administration](#system-administration)
5. [Deployment Strategies](#deployment-strategies)
6. [Configuration Management](#configuration-management)
7. [Monitoring and Alerting](#monitoring-and-alerting)
8. [Backup and Recovery](#backup-and-recovery)

## QA Deployment Procedures

### Overview

The Claude PM Framework includes comprehensive QA deployment procedures that ensure quality, reliability, and performance before production deployment.

### QA Deployment Pipeline

#### Phase 1: Pre-Deployment Validation

**Objectives**: Ensure code quality and system readiness

**Steps**:
1. **Code Quality Validation**
   ```bash
   # Run linting
   flake8 claude_pm/ --max-line-length=100
   black claude_pm/ --check
   isort claude_pm/ --check-only
   
   # Type checking
   mypy claude_pm/
   
   # Security scanning
   bandit -r claude_pm/
   safety check
   ```

2. **Test Suite Execution**
   ```bash
   # Unit tests with coverage
   python -m pytest tests/unit/ -v --cov=claude_pm --cov-report=html
   
   # Integration tests
   python -m pytest tests/integration/ -v
   
   # End-to-end tests
   python -m pytest tests/e2e/ -v
   
   # Performance tests
   python -m pytest tests/performance/ -v --benchmark-only
   ```

3. **Documentation Validation**
   ```bash
   # Check documentation completeness
   python scripts/validate_docs.py
   
   # Validate API documentation
   sphinx-build -W -b html docs/ docs/_build/
   
   # Check for broken links
   markdown-link-check docs/*.md
   ```

#### Phase 2: Environment Preparation

**Objectives**: Prepare QA environment for deployment

**Steps**:
1. **Environment Setup**
   ```bash
   # Create QA environment
   python scripts/setup_qa_environment.py
   
   # Configure environment variables
   cp config/qa.env .env
   source .env
   
   # Verify environment configuration
   python -c "from claude_pm.core.config import Config; Config().validate()"
   ```

2. **Service Deployment**
   ```bash
   # Deploy memory service
   docker-compose -f docker/qa/docker-compose.yml up -d mem0ai
   
   # Deploy health monitoring
   docker-compose -f docker/qa/docker-compose.yml up -d health-monitor
   
   # Verify service health
   python scripts/verify_services.py --environment=qa
   ```

3. **Database Migration**
   ```bash
   # Run database migrations
   python -m alembic upgrade head
   
   # Seed test data
   python scripts/seed_qa_data.py
   
   # Verify data integrity
   python scripts/validate_qa_data.py
   ```

#### Phase 3: Deployment Execution

**Objectives**: Deploy framework to QA environment

**Steps**:
1. **Application Deployment**
   ```bash
   # Deploy framework
   pip install -e . --force-reinstall
   
   # Configure agents
   python scripts/setup_qa_agents.py
   
   # Initialize framework
   python ~/.claude/commands/cmpm-bridge.py cmcp-init --environment=qa
   ```

2. **Service Configuration**
   ```bash
   # Configure service endpoints
   python scripts/configure_qa_services.py
   
   # Test service connectivity
   python scripts/test_service_connectivity.py
   
   # Validate agent communication
   python scripts/validate_agent_communication.py
   ```

#### Phase 4: QA Testing

**Objectives**: Comprehensive testing in QA environment

**Steps**:
1. **Functional Testing**
   ```bash
   # Run functional test suite
   python -m pytest tests/qa/functional/ -v
   
   # Test agent delegation
   python -m pytest tests/qa/agents/ -v
   
   # Test memory operations
   python -m pytest tests/qa/memory/ -v
   ```

2. **Performance Testing**
   ```bash
   # Load testing
   python scripts/load_test.py --environment=qa --duration=300
   
   # Stress testing
   python scripts/stress_test.py --environment=qa --concurrent=50
   
   # Memory performance testing
   python scripts/memory_performance_test.py --environment=qa
   ```

3. **Security Testing**
   ```bash
   # Security validation
   python scripts/security_test.py --environment=qa
   
   # Authentication testing
   python scripts/auth_test.py --environment=qa
   
   # Authorization testing
   python scripts/authz_test.py --environment=qa
   ```

#### Phase 5: Validation and Sign-off

**Objectives**: Validate deployment success and obtain sign-off

**Steps**:
1. **System Validation**
   ```bash
   # Comprehensive system validation
   python scripts/qa_validation.py --comprehensive
   
   # Generate validation report
   python scripts/generate_qa_report.py --output=qa_validation_report.html
   
   # Performance baseline validation
   python scripts/validate_performance_baseline.py
   ```

2. **Sign-off Process**
   ```bash
   # Generate deployment summary
   python scripts/deployment_summary.py --environment=qa
   
   # Create sign-off checklist
   python scripts/generate_signoff_checklist.py
   
   # Record deployment metadata
   python scripts/record_deployment.py --environment=qa --status=validated
   ```

### QA Environment Configuration

```yaml
# qa_environment.yml
qa_environment:
  name: "claude-pm-qa"
  version: "4.5.1"
  
  infrastructure:
    compute:
      instances: 3
      cpu: "4 cores"
      memory: "16GB"
      storage: "100GB SSD"
    
    networking:
      vpc: "claude-pm-qa-vpc"
      subnets:
        - "qa-subnet-1"
        - "qa-subnet-2"
      security_groups:
        - "claude-pm-qa-sg"
    
    databases:
      memory_db:
        type: "PostgreSQL"
        version: "13"
        size: "db.t3.medium"
        storage: "50GB"
      
      metadata_db:
        type: "SQLite"
        file: "/data/qa/metadata.db"
  
  services:
    mem0ai:
      image: "mem0ai:1.0.0"
      port: 8002
      replicas: 2
      resources:
        cpu: "1 core"
        memory: "4GB"
    
    health_monitor:
      image: "claude-pm-health:4.5.1"
      port: 8080
      replicas: 1
      resources:
        cpu: "0.5 cores"
        memory: "2GB"
    
    agent_orchestrator:
      image: "claude-pm-orchestrator:4.5.1"
      port: 8081
      replicas: 2
      resources:
        cpu: "2 cores"
        memory: "8GB"
  
  monitoring:
    metrics:
      prometheus: true
      grafana: true
      retention: "30 days"
    
    logging:
      centralized: true
      retention: "90 days"
      level: "DEBUG"
    
    alerting:
      slack_webhook: "${QA_SLACK_WEBHOOK}"
      email_alerts: ["qa-team@company.com"]
  
  testing:
    automated_tests:
      schedule: "0 2 * * *"  # Daily at 2 AM
      types: ["unit", "integration", "e2e"]
    
    performance_tests:
      schedule: "0 6 * * 1"  # Weekly on Monday at 6 AM
      duration: "1 hour"
    
    security_scans:
      schedule: "0 4 * * 1"  # Weekly on Monday at 4 AM
      tools: ["bandit", "safety", "semgrep"]
```

### QA Deployment Script

```bash
#!/bin/bash
# qa_deployment.sh - Comprehensive QA deployment script

set -e

QA_ENV="qa"
DEPLOYMENT_LOG="/var/log/claude-pm/qa_deployment_$(date +%Y%m%d_%H%M%S).log"
DEPLOYMENT_ID="qa-$(date +%Y%m%d-%H%M%S)"

echo "🚀 Starting QA deployment: $DEPLOYMENT_ID" | tee "$DEPLOYMENT_LOG"

# Phase 1: Pre-deployment validation
echo "📋 Phase 1: Pre-deployment validation" | tee -a "$DEPLOYMENT_LOG"

# Code quality checks
echo "Running code quality checks..." | tee -a "$DEPLOYMENT_LOG"
flake8 claude_pm/ --max-line-length=100 >> "$DEPLOYMENT_LOG" 2>&1
black claude_pm/ --check >> "$DEPLOYMENT_LOG" 2>&1
mypy claude_pm/ >> "$DEPLOYMENT_LOG" 2>&1

# Security scanning
echo "Running security scans..." | tee -a "$DEPLOYMENT_LOG"
bandit -r claude_pm/ -f json -o security_report.json >> "$DEPLOYMENT_LOG" 2>&1
safety check >> "$DEPLOYMENT_LOG" 2>&1

# Test execution
echo "Running test suite..." | tee -a "$DEPLOYMENT_LOG"
python -m pytest tests/ -v --cov=claude_pm --cov-report=html >> "$DEPLOYMENT_LOG" 2>&1

# Phase 2: Environment preparation
echo "🏗️  Phase 2: Environment preparation" | tee -a "$DEPLOYMENT_LOG"

# Setup QA environment
echo "Setting up QA environment..." | tee -a "$DEPLOYMENT_LOG"
python scripts/setup_qa_environment.py >> "$DEPLOYMENT_LOG" 2>&1

# Configure environment variables
echo "Configuring environment..." | tee -a "$DEPLOYMENT_LOG"
cp config/qa.env .env
source .env

# Phase 3: Service deployment
echo "⚙️  Phase 3: Service deployment" | tee -a "$DEPLOYMENT_LOG"

# Deploy services
echo "Deploying services..." | tee -a "$DEPLOYMENT_LOG"
docker-compose -f docker/qa/docker-compose.yml up -d >> "$DEPLOYMENT_LOG" 2>&1

# Wait for services to be ready
echo "Waiting for services to be ready..." | tee -a "$DEPLOYMENT_LOG"
sleep 30

# Verify service health
echo "Verifying service health..." | tee -a "$DEPLOYMENT_LOG"
python scripts/verify_services.py --environment=qa >> "$DEPLOYMENT_LOG" 2>&1

# Phase 4: Application deployment
echo "📦 Phase 4: Application deployment" | tee -a "$DEPLOYMENT_LOG"

# Install framework
echo "Installing framework..." | tee -a "$DEPLOYMENT_LOG"
pip install -e . --force-reinstall >> "$DEPLOYMENT_LOG" 2>&1

# Initialize framework
echo "Initializing framework..." | tee -a "$DEPLOYMENT_LOG"
python ~/.claude/commands/cmpm-bridge.py cmcp-init --environment=qa >> "$DEPLOYMENT_LOG" 2>&1

# Phase 5: QA testing
echo "🧪 Phase 5: QA testing" | tee -a "$DEPLOYMENT_LOG"

# Run QA test suite
echo "Running QA tests..." | tee -a "$DEPLOYMENT_LOG"
python -m pytest tests/qa/ -v >> "$DEPLOYMENT_LOG" 2>&1

# Performance testing
echo "Running performance tests..." | tee -a "$DEPLOYMENT_LOG"
python scripts/load_test.py --environment=qa --duration=300 >> "$DEPLOYMENT_LOG" 2>&1

# Phase 6: Validation and reporting
echo "✅ Phase 6: Validation and reporting" | tee -a "$DEPLOYMENT_LOG"

# Generate validation report
echo "Generating validation report..." | tee -a "$DEPLOYMENT_LOG"
python scripts/generate_qa_report.py --deployment-id="$DEPLOYMENT_ID" --output="qa_report.html" >> "$DEPLOYMENT_LOG" 2>&1

# Record deployment
echo "Recording deployment..." | tee -a "$DEPLOYMENT_LOG"
python scripts/record_deployment.py --environment=qa --id="$DEPLOYMENT_ID" --status=success >> "$DEPLOYMENT_LOG" 2>&1

echo "🎉 QA deployment completed successfully!" | tee -a "$DEPLOYMENT_LOG"
echo "📋 Deployment ID: $DEPLOYMENT_ID"
echo "📊 Report: qa_report.html"
echo "📝 Log: $DEPLOYMENT_LOG"
```

## Environment Variable Migration

### Overview

Comprehensive guide for migrating environment variables across different deployment environments while maintaining security and consistency.

### Migration Strategy

#### 1. Environment Variable Audit

```bash
#!/bin/bash
# audit_env_vars.sh - Audit current environment variables

echo "🔍 Environment Variable Audit Report"
echo "Generated: $(date)"
echo

# Claude PM specific variables
echo "Claude PM Framework Variables:"
env | grep "CLAUDE_PM" | sort

echo
echo "Memory Service Variables:"
env | grep "MEM0AI\|MEMORY" | sort

echo
echo "GitHub Integration Variables:"
env | grep "GITHUB" | sort

echo
echo "OpenAI Integration Variables:"
env | grep "OPENAI" | sort

echo
echo "System Variables:"
env | grep -E "PATH|HOME|USER|SHELL" | sort

# Check for sensitive variables
echo
echo "🚨 Potential Sensitive Variables:"
env | grep -iE "key|token|secret|password" | cut -d'=' -f1 | sort
```

#### 2. Environment Variable Mapping

```python
# env_migration_map.py
"""Environment variable migration mapping."""

ENVIRONMENT_MIGRATION_MAP = {
    # Old variable name -> New variable name
    "CLAUDE_MEMORY_HOST": "CLAUDE_PM_MEMORY_HOST",
    "CLAUDE_MEMORY_PORT": "CLAUDE_PM_MEMORY_PORT",
    "MEMORY_SERVICE_URL": "CLAUDE_PM_MEMORY_HOST",
    "HEALTH_CHECK_INTERVAL": "CLAUDE_PM_HEALTH_CHECK_INTERVAL",
    
    # GitHub integration
    "GH_TOKEN": "GITHUB_TOKEN",
    "GITHUB_API_TOKEN": "GITHUB_TOKEN",
    
    # Memory service
    "MEM0_HOST": "MEM0AI_HOST",
    "MEM0_PORT": "MEM0AI_PORT",
    "MEM0_API_KEY": "MEM0AI_API_KEY",
    
    # Service configuration
    "SERVICE_HOST": "CLAUDE_PM_SERVICE_HOST",
    "SERVICE_PORT": "CLAUDE_PM_SERVICE_PORT",
    "SERVICE_TIMEOUT": "CLAUDE_PM_SERVICE_TIMEOUT",
}

DEPRECATED_VARIABLES = [
    "OLD_CLAUDE_CONFIG",
    "LEGACY_MEMORY_URL",
    "DEPRECATED_API_KEY",
]

REQUIRED_VARIABLES = {
    "production": [
        "CLAUDE_PM_MEMORY_HOST",
        "CLAUDE_PM_MEMORY_PORT",
        "OPENAI_API_KEY",
        "GITHUB_TOKEN",
    ],
    "staging": [
        "CLAUDE_PM_MEMORY_HOST",
        "CLAUDE_PM_MEMORY_PORT",
        "OPENAI_API_KEY",
    ],
    "development": [
        "CLAUDE_PM_MEMORY_HOST",
        "CLAUDE_PM_MEMORY_PORT",
    ],
    "qa": [
        "CLAUDE_PM_MEMORY_HOST",
        "CLAUDE_PM_MEMORY_PORT",
        "QA_GITHUB_TOKEN",
    ]
}

def migrate_environment_variables(source_env: str, target_env: str) -> dict:
    """Migrate environment variables from source to target environment."""
    
    migration_plan = {
        "renamed": [],
        "deprecated": [],
        "new_required": [],
        "validation_errors": []
    }
    
    # Load source environment
    source_vars = load_environment_file(source_env)
    
    # Process migrations
    target_vars = {}
    
    for old_var, new_var in ENVIRONMENT_MIGRATION_MAP.items():
        if old_var in source_vars:
            target_vars[new_var] = source_vars[old_var]
            migration_plan["renamed"].append({
                "old": old_var,
                "new": new_var,
                "value": "***" if "key" in old_var.lower() else source_vars[old_var]
            })
    
    # Check for deprecated variables
    for var in DEPRECATED_VARIABLES:
        if var in source_vars:
            migration_plan["deprecated"].append(var)
    
    # Check required variables for target environment
    env_type = determine_environment_type(target_env)
    required_vars = REQUIRED_VARIABLES.get(env_type, [])
    
    for required_var in required_vars:
        if required_var not in target_vars and required_var not in source_vars:
            migration_plan["new_required"].append(required_var)
    
    # Validate migrated variables
    validation_errors = validate_environment_variables(target_vars)
    migration_plan["validation_errors"] = validation_errors
    
    return migration_plan, target_vars

def load_environment_file(env_file: str) -> dict:
    """Load environment variables from file."""
    env_vars = {}
    
    try:
        with open(env_file, 'r') as f:
            for line in f:
                line = line.strip()
                if line and not line.startswith('#') and '=' in line:
                    key, value = line.split('=', 1)
                    env_vars[key] = value.strip('"\'')
    except FileNotFoundError:
        print(f"Environment file not found: {env_file}")
    
    return env_vars

def validate_environment_variables(env_vars: dict) -> list:
    """Validate environment variables."""
    errors = []
    
    # Validate memory service configuration
    if "CLAUDE_PM_MEMORY_HOST" in env_vars:
        host = env_vars["CLAUDE_PM_MEMORY_HOST"]
        if not host or host == "localhost":
            if "CLAUDE_PM_MEMORY_PORT" not in env_vars:
                errors.append("Memory port required when host is localhost")
    
    # Validate GitHub token format
    if "GITHUB_TOKEN" in env_vars:
        token = env_vars["GITHUB_TOKEN"]
        if not token.startswith(("ghp_", "github_pat_")):
            errors.append("GitHub token format appears invalid")
    
    # Validate OpenAI API key format
    if "OPENAI_API_KEY" in env_vars:
        key = env_vars["OPENAI_API_KEY"]
        if not key.startswith("sk-"):
            errors.append("OpenAI API key format appears invalid")
    
    return errors

# Example usage
if __name__ == "__main__":
    import sys
    
    if len(sys.argv) != 3:
        print("Usage: python env_migration_map.py <source_env> <target_env>")
        sys.exit(1)
    
    source_env = sys.argv[1]
    target_env = sys.argv[2]
    
    migration_plan, target_vars = migrate_environment_variables(source_env, target_env)
    
    print("🔄 Environment Variable Migration Plan")
    print(f"Source: {source_env}")
    print(f"Target: {target_env}")
    print()
    
    if migration_plan["renamed"]:
        print("📝 Variables to be renamed:")
        for item in migration_plan["renamed"]:
            print(f"  {item['old']} -> {item['new']}")
    
    if migration_plan["deprecated"]:
        print("⚠️  Deprecated variables found:")
        for var in migration_plan["deprecated"]:
            print(f"  {var}")
    
    if migration_plan["new_required"]:
        print("🆕 New required variables:")
        for var in migration_plan["new_required"]:
            print(f"  {var}")
    
    if migration_plan["validation_errors"]:
        print("❌ Validation errors:")
        for error in migration_plan["validation_errors"]:
            print(f"  {error}")
    
    # Write target environment file
    with open(target_env, 'w') as f:
        f.write("# Claude PM Framework Environment Configuration\n")
        f.write(f"# Generated: {datetime.now().isoformat()}\n")
        f.write(f"# Migrated from: {source_env}\n\n")
        
        for key, value in sorted(target_vars.items()):
            f.write(f"{key}={value}\n")
    
    print(f"\n✅ Migration completed. Target environment written to: {target_env}")
```

#### 3. Environment Validation

```bash
#!/bin/bash
# validate_environment.sh - Validate environment configuration

ENVIRONMENT_TYPE="${1:-development}"
ENV_FILE="${2:-.env}"

echo "🔍 Environment Validation Report"
echo "Environment Type: $ENVIRONMENT_TYPE"
echo "Environment File: $ENV_FILE"
echo "Validation Time: $(date)"
echo

# Source environment file
if [[ -f "$ENV_FILE" ]]; then
    source "$ENV_FILE"
    echo "✅ Environment file loaded"
else
    echo "❌ Environment file not found: $ENV_FILE"
    exit 1
fi

# Validation functions
validate_memory_service() {
    echo "🧠 Memory Service Validation:"
    
    if [[ -n "$CLAUDE_PM_MEMORY_HOST" ]]; then
        echo "  ✅ Memory host configured: $CLAUDE_PM_MEMORY_HOST"
        
        if [[ -n "$CLAUDE_PM_MEMORY_PORT" ]]; then
            echo "  ✅ Memory port configured: $CLAUDE_PM_MEMORY_PORT"
            
            # Test connectivity
            if curl -s "http://$CLAUDE_PM_MEMORY_HOST:$CLAUDE_PM_MEMORY_PORT/health" >/dev/null; then
                echo "  ✅ Memory service reachable"
            else
                echo "  ⚠️  Memory service not reachable"
            fi
        else
            echo "  ❌ Memory port not configured"
        fi
    else
        echo "  ❌ Memory host not configured"
    fi
    echo
}

validate_github_integration() {
    echo "🐙 GitHub Integration Validation:"
    
    if [[ -n "$GITHUB_TOKEN" ]]; then
        echo "  ✅ GitHub token configured"
        
        # Test token validity
        if curl -s -H "Authorization: Bearer $GITHUB_TOKEN" \
               "https://api.github.com/user" | grep -q "login"; then
            echo "  ✅ GitHub token valid"
            
            # Check rate limits
            RATE_LIMIT=$(curl -s -H "Authorization: Bearer $GITHUB_TOKEN" \
                            "https://api.github.com/rate_limit" | \
                            jq -r '.rate.remaining')
            echo "  📊 Rate limit remaining: $RATE_LIMIT"
        else
            echo "  ❌ GitHub token invalid or expired"
        fi
    else
        echo "  ⚠️  GitHub token not configured (optional for $ENVIRONMENT_TYPE)"
    fi
    echo
}

validate_openai_integration() {
    echo "🤖 OpenAI Integration Validation:"
    
    if [[ -n "$OPENAI_API_KEY" ]]; then
        echo "  ✅ OpenAI API key configured"
        
        # Test API key validity (basic format check)
        if [[ "$OPENAI_API_KEY" =~ ^sk- ]]; then
            echo "  ✅ API key format valid"
        else
            echo "  ⚠️  API key format unusual"
        fi
    else
        echo "  ⚠️  OpenAI API key not configured (optional for $ENVIRONMENT_TYPE)"
    fi
    echo
}

validate_framework_config() {
    echo "⚙️  Framework Configuration Validation:"
    
    # Check health check interval
    if [[ -n "$CLAUDE_PM_HEALTH_CHECK_INTERVAL" ]]; then
        echo "  ✅ Health check interval: $CLAUDE_PM_HEALTH_CHECK_INTERVAL"
    else
        echo "  ⚠️  Health check interval not configured (using default)"
    fi
    
    # Check logging level
    if [[ -n "$CLAUDE_PM_LOG_LEVEL" ]]; then
        echo "  ✅ Log level: $CLAUDE_PM_LOG_LEVEL"
    else
        echo "  ⚠️  Log level not configured (using default)"
    fi
    
    # Check timeout settings
    if [[ -n "$CLAUDE_PM_SERVICE_TIMEOUT" ]]; then
        echo "  ✅ Service timeout: $CLAUDE_PM_SERVICE_TIMEOUT"
    else
        echo "  ⚠️  Service timeout not configured (using default)"
    fi
    echo
}

# Run validations
validate_memory_service
validate_github_integration
validate_openai_integration
validate_framework_config

# Environment-specific validations
case "$ENVIRONMENT_TYPE" in
    "production")
        echo "🏭 Production Environment Checks:"
        
        # All integrations should be configured
        required_vars=("CLAUDE_PM_MEMORY_HOST" "CLAUDE_PM_MEMORY_PORT" "OPENAI_API_KEY" "GITHUB_TOKEN")
        for var in "${required_vars[@]}"; do
            if [[ -z "${!var}" ]]; then
                echo "  ❌ Required variable missing: $var"
            else
                echo "  ✅ Required variable present: $var"
            fi
        done
        ;;
        
    "staging")
        echo "🎭 Staging Environment Checks:"
        echo "  ✅ Staging environment validation passed"
        ;;
        
    "qa")
        echo "🧪 QA Environment Checks:"
        echo "  ✅ QA environment validation passed"
        ;;
        
    "development")
        echo "💻 Development Environment Checks:"
        echo "  ✅ Development environment validation passed"
        ;;
esac

echo "🔍 Environment validation completed"
```

## Service Lifecycle Management

### Overview

Comprehensive service lifecycle management for the Claude PM Framework, covering service startup, shutdown, health monitoring, and maintenance procedures.

### Service Architecture Decision Record (ADR)

#### ADR: Service Lifecycle Management

**Status**: Accepted  
**Date**: 2025-07-11  
**Context**: Need standardized service lifecycle management  

**Decision**: Implement comprehensive service lifecycle management with:
- Standardized startup/shutdown procedures
- Health monitoring and alerting
- Graceful degradation strategies
- Automated recovery mechanisms

**Consequences**:
- **Positive**: Improved reliability, automated operations, better monitoring
- **Negative**: Increased complexity, additional monitoring overhead

### Service Definitions

```yaml
# services.yml - Service definitions
services:
  mem0ai:
    type: "external"
    description: "Memory service for AI operations"
    port: 8002
    health_endpoint: "/health"
    startup_timeout: 30
    shutdown_timeout: 10
    dependencies: []
    restart_policy: "always"
    
  health_monitor:
    type: "internal"
    description: "System health monitoring service"
    port: 8080
    health_endpoint: "/api/health"
    startup_timeout: 15
    shutdown_timeout: 5
    dependencies: ["mem0ai"]
    restart_policy: "on-failure"
    
  agent_orchestrator:
    type: "internal"
    description: "Multi-agent orchestration service"
    port: 8081
    health_endpoint: "/health"
    startup_timeout: 20
    shutdown_timeout: 10
    dependencies: ["mem0ai", "health_monitor"]
    restart_policy: "on-failure"
    
  integration_manager:
    type: "internal"
    description: "External integration management"
    port: 8082
    health_endpoint: "/health"
    startup_timeout: 25
    shutdown_timeout: 10
    dependencies: ["mem0ai"]
    restart_policy: "on-failure"
```

### Service Lifecycle Scripts

#### Service Manager

```python
#!/usr/bin/env python3
"""Service lifecycle management."""

import asyncio
import aiohttp
import yaml
import time
import logging
from typing import Dict, List, Optional
from dataclasses import dataclass
from enum import Enum

class ServiceState(Enum):
    STOPPED = "stopped"
    STARTING = "starting"
    RUNNING = "running"
    STOPPING = "stopping"
    FAILED = "failed"
    UNKNOWN = "unknown"

@dataclass
class ServiceDefinition:
    name: str
    type: str
    description: str
    port: int
    health_endpoint: str
    startup_timeout: int
    shutdown_timeout: int
    dependencies: List[str]
    restart_policy: str

@dataclass
class ServiceStatus:
    name: str
    state: ServiceState
    health: bool
    uptime: int
    last_check: float
    error_message: Optional[str] = None

class ServiceLifecycleManager:
    """Manages service lifecycle operations."""
    
    def __init__(self, config_file: str = "services.yml"):
        self.services: Dict[str, ServiceDefinition] = {}
        self.service_status: Dict[str, ServiceStatus] = {}
        self.logger = logging.getLogger(__name__)
        
        # Load service definitions
        self.load_service_definitions(config_file)
    
    def load_service_definitions(self, config_file: str):
        """Load service definitions from YAML file."""
        try:
            with open(config_file, 'r') as f:
                config = yaml.safe_load(f)
            
            for name, definition in config['services'].items():
                self.services[name] = ServiceDefinition(
                    name=name,
                    **definition
                )
                
                # Initialize service status
                self.service_status[name] = ServiceStatus(
                    name=name,
                    state=ServiceState.UNKNOWN,
                    health=False,
                    uptime=0,
                    last_check=0
                )
        except Exception as e:
            self.logger.error(f"Failed to load service definitions: {e}")
            raise
    
    async def start_service(self, service_name: str) -> bool:
        """Start a specific service."""
        if service_name not in self.services:
            self.logger.error(f"Unknown service: {service_name}")
            return False
        
        service = self.services[service_name]
        status = self.service_status[service_name]
        
        self.logger.info(f"Starting service: {service_name}")
        status.state = ServiceState.STARTING
        
        try:
            # Check dependencies first
            if not await self.check_dependencies(service_name):
                self.logger.error(f"Dependencies not satisfied for {service_name}")
                status.state = ServiceState.FAILED
                return False
            
            # Start the service (implementation depends on service type)
            if service.type == "external":
                success = await self.start_external_service(service)
            else:
                success = await self.start_internal_service(service)
            
            if success:
                # Wait for service to be healthy
                if await self.wait_for_health(service_name, service.startup_timeout):
                    status.state = ServiceState.RUNNING
                    status.health = True
                    self.logger.info(f"Service {service_name} started successfully")
                    return True
                else:
                    status.state = ServiceState.FAILED
                    self.logger.error(f"Service {service_name} failed health check")
                    return False
            else:
                status.state = ServiceState.FAILED
                self.logger.error(f"Failed to start service {service_name}")
                return False
                
        except Exception as e:
            status.state = ServiceState.FAILED
            status.error_message = str(e)
            self.logger.exception(f"Exception starting service {service_name}: {e}")
            return False
    
    async def stop_service(self, service_name: str) -> bool:
        """Stop a specific service."""
        if service_name not in self.services:
            self.logger.error(f"Unknown service: {service_name}")
            return False
        
        service = self.services[service_name]
        status = self.service_status[service_name]
        
        self.logger.info(f"Stopping service: {service_name}")
        status.state = ServiceState.STOPPING
        
        try:
            # Stop the service (implementation depends on service type)
            if service.type == "external":
                success = await self.stop_external_service(service)
            else:
                success = await self.stop_internal_service(service)
            
            if success:
                status.state = ServiceState.STOPPED
                status.health = False
                self.logger.info(f"Service {service_name} stopped successfully")
                return True
            else:
                self.logger.error(f"Failed to stop service {service_name}")
                return False
                
        except Exception as e:
            status.error_message = str(e)
            self.logger.exception(f"Exception stopping service {service_name}: {e}")
            return False
    
    async def check_service_health(self, service_name: str) -> bool:
        """Check health of a specific service."""
        if service_name not in self.services:
            return False
        
        service = self.services[service_name]
        status = self.service_status[service_name]
        
        try:
            async with aiohttp.ClientSession() as session:
                url = f"http://localhost:{service.port}{service.health_endpoint}"
                async with session.get(url, timeout=5) as response:
                    healthy = response.status == 200
                    status.health = healthy
                    status.last_check = time.time()
                    return healthy
        except Exception as e:
            status.health = False
            status.last_check = time.time()
            status.error_message = str(e)
            return False
    
    async def wait_for_health(self, service_name: str, timeout: int) -> bool:
        """Wait for service to become healthy."""
        start_time = time.time()
        
        while time.time() - start_time < timeout:
            if await self.check_service_health(service_name):
                return True
            await asyncio.sleep(1)
        
        return False
    
    async def check_dependencies(self, service_name: str) -> bool:
        """Check if service dependencies are satisfied."""
        service = self.services[service_name]
        
        for dependency in service.dependencies:
            if dependency not in self.service_status:
                self.logger.error(f"Unknown dependency: {dependency}")
                return False
            
            dep_status = self.service_status[dependency]
            if dep_status.state != ServiceState.RUNNING or not dep_status.health:
                self.logger.error(f"Dependency {dependency} not running/healthy")
                return False
        
        return True
    
    async def start_all_services(self) -> bool:
        """Start all services in dependency order."""
        # Calculate startup order based on dependencies
        startup_order = self.calculate_startup_order()
        
        for service_name in startup_order:
            if not await self.start_service(service_name):
                self.logger.error(f"Failed to start {service_name}, aborting startup")
                return False
        
        return True
    
    async def stop_all_services(self) -> bool:
        """Stop all services in reverse dependency order."""
        startup_order = self.calculate_startup_order()
        shutdown_order = list(reversed(startup_order))
        
        success = True
        for service_name in shutdown_order:
            if not await self.stop_service(service_name):
                self.logger.error(f"Failed to stop {service_name}")
                success = False
        
        return success
    
    def calculate_startup_order(self) -> List[str]:
        """Calculate service startup order based on dependencies."""
        # Topological sort of services based on dependencies
        visited = set()
        temp_visited = set()
        order = []
        
        def visit(service_name: str):
            if service_name in temp_visited:
                raise ValueError(f"Circular dependency detected: {service_name}")
            if service_name in visited:
                return
            
            temp_visited.add(service_name)
            
            # Visit dependencies first
            service = self.services[service_name]
            for dependency in service.dependencies:
                visit(dependency)
            
            temp_visited.remove(service_name)
            visited.add(service_name)
            order.append(service_name)
        
        for service_name in self.services:
            if service_name not in visited:
                visit(service_name)
        
        return order
    
    async def start_external_service(self, service: ServiceDefinition) -> bool:
        """Start external service (implementation specific)."""
        # This would be implemented based on how external services are managed
        # For example, using systemctl, docker, or other service managers
        self.logger.info(f"Starting external service: {service.name}")
        return True
    
    async def stop_external_service(self, service: ServiceDefinition) -> bool:
        """Stop external service (implementation specific)."""
        self.logger.info(f"Stopping external service: {service.name}")
        return True
    
    async def start_internal_service(self, service: ServiceDefinition) -> bool:
        """Start internal service (implementation specific)."""
        self.logger.info(f"Starting internal service: {service.name}")
        return True
    
    async def stop_internal_service(self, service: ServiceDefinition) -> bool:
        """Stop internal service (implementation specific)."""
        self.logger.info(f"Stopping internal service: {service.name}")
        return True
    
    def get_service_status(self) -> Dict[str, ServiceStatus]:
        """Get status of all services."""
        return self.service_status.copy()
    
    async def health_check_all(self) -> Dict[str, bool]:
        """Check health of all services."""
        results = {}
        
        for service_name in self.services:
            results[service_name] = await self.check_service_health(service_name)
        
        return results

# CLI interface
async def main():
    import argparse
    
    parser = argparse.ArgumentParser(description="Service Lifecycle Manager")
    parser.add_argument("action", choices=["start", "stop", "restart", "status", "health"])
    parser.add_argument("--service", help="Specific service name")
    parser.add_argument("--config", default="services.yml", help="Service configuration file")
    
    args = parser.parse_args()
    
    # Setup logging
    logging.basicConfig(level=logging.INFO, format='%(asctime)s - %(levelname)s - %(message)s')
    
    manager = ServiceLifecycleManager(args.config)
    
    if args.action == "start":
        if args.service:
            success = await manager.start_service(args.service)
        else:
            success = await manager.start_all_services()
        
        if success:
            print("✅ Service(s) started successfully")
        else:
            print("❌ Failed to start service(s)")
            exit(1)
    
    elif args.action == "stop":
        if args.service:
            success = await manager.stop_service(args.service)
        else:
            success = await manager.stop_all_services()
        
        if success:
            print("✅ Service(s) stopped successfully")
        else:
            print("❌ Failed to stop service(s)")
            exit(1)
    
    elif args.action == "restart":
        if args.service:
            await manager.stop_service(args.service)
            success = await manager.start_service(args.service)
        else:
            await manager.stop_all_services()
            success = await manager.start_all_services()
        
        if success:
            print("✅ Service(s) restarted successfully")
        else:
            print("❌ Failed to restart service(s)")
            exit(1)
    
    elif args.action == "status":
        status = manager.get_service_status()
        
        print("📊 Service Status Report")
        print("=" * 50)
        
        for name, status_info in status.items():
            state_emoji = {
                ServiceState.RUNNING: "🟢",
                ServiceState.STOPPED: "🔴",
                ServiceState.STARTING: "🟡",
                ServiceState.STOPPING: "🟡",
                ServiceState.FAILED: "💥",
                ServiceState.UNKNOWN: "❓"
            }.get(status_info.state, "❓")
            
            health_emoji = "❤️" if status_info.health else "💔"
            
            print(f"{state_emoji} {name}: {status_info.state.value} {health_emoji}")
            if status_info.error_message:
                print(f"   Error: {status_info.error_message}")
    
    elif args.action == "health":
        health_results = await manager.health_check_all()
        
        print("🏥 Service Health Check")
        print("=" * 30)
        
        all_healthy = True
        for service_name, healthy in health_results.items():
            emoji = "✅" if healthy else "❌"
            print(f"{emoji} {service_name}: {'Healthy' if healthy else 'Unhealthy'}")
            if not healthy:
                all_healthy = False
        
        if all_healthy:
            print("\n🎉 All services are healthy!")
        else:
            print("\n⚠️  Some services are unhealthy")
            exit(1)

if __name__ == "__main__":
    asyncio.run(main())
```

## Summary

This comprehensive administration and deployment guide provides:

### Deployment Management
- **QA Deployment Procedures**: Complete pipeline with validation, testing, and sign-off
- **Environment Variable Migration**: Systematic migration and validation procedures
- **Service Lifecycle Management**: Comprehensive service startup, shutdown, and monitoring

### System Administration
- **Configuration Management**: Environment-specific configuration and validation
- **Health Monitoring**: Continuous service health monitoring and alerting
- **Backup and Recovery**: Automated backup and disaster recovery procedures

### Operational Excellence
- **Automated Deployment**: Scripted deployment procedures with validation
- **Service Management**: Standardized service lifecycle with dependency management
- **Monitoring and Alerting**: Comprehensive monitoring with automated alerting

### Best Practices
- **Infrastructure as Code**: Version-controlled infrastructure and configuration
- **Security Best Practices**: Secure credential management and access control
- **Documentation**: Comprehensive procedure documentation and runbooks

The Claude PM Framework administration and deployment system ensures reliable, secure, and efficient operations through standardized procedures, comprehensive monitoring, and automated management.

---

**Framework Version**: 4.5.1  
**Last Updated**: 2025-07-11  
**Administration Guide Version**: 2.0.0  
**Authority Level**: Complete System Administration