Estrategia de Migración y Portabilidad

migration_assessment:
  application_analysis:
    - complexity_score: "1-10 scale"
    - cloud_readiness: "native, compatible, requires_modification"
    - dependencies: "database, external_apis, shared_services"
    - data_sensitivity: "public, internal, confidential, restricted"
    - compliance_requirements: "GDPR, SOC2, PCI-DSS, etc."
  
  technical_evaluation:
    - architecture_type: "monolith, microservices, serverless"
    - technology_stack: "languages, frameworks, databases"
    - integration_points: "apis, message_queues, file_shares"
    - performance_requirements: "latency, throughput, availability"
    - scalability_needs: "auto_scaling, load_patterns"
  
  business_impact:
    - criticality_level: "critical, high, medium, low"
    - user_impact: "internal, external, customer_facing"
    - downtime_tolerance: "zero, minutes, hours"
    - migration_window: "business_hours, maintenance, anytime"
    - cost_implications: "hardware, licensing, operational"

// Framework para selección de estrategia de migración
class MigrationStrategySelector {
  static strategies = {
    RETIRE: {
      description: "Discontinuar aplicación",
      criteria: ["low_usage", "legacy_technology", "high_maintenance_cost"],
      effort: 1,
      risk: 1
    },
    
    RETAIN: {
      description: "Mantener en plataforma actual",
      criteria: ["recent_investment", "complex_dependencies", "compliance_restrictions"],
      effort: 1,
      risk: 1
    },
    
    REHOST: {
      description: "Lift-and-shift sin cambios",
      criteria: ["quick_migration_needed", "minimal_cloud_optimization"],
      effort: 3,
      risk: 2
    },
    
    REPLATFORM: {
      description: "Migración con optimizaciones menores",
      criteria: ["moderate_cloud_optimization", "database_modernization"],
      effort: 5,
      risk: 3
    },
    
    REPURCHASE: {
      description: "Reemplazar con SaaS",
      criteria: ["commodity_functionality", "reduce_maintenance"],
      effort: 4,
      risk: 3
    },
    
    REFACTOR: {
      description: "Re-arquitectura cloud-native",
      criteria: ["high_scalability_needs", "performance_optimization"],
      effort: 8,
      risk: 5
    }
  };
  
  static selectStrategy(applicationProfile) {
    const scores = {};
    
    for (const [strategy, config] of Object.entries(this.strategies)) {
      scores[strategy] = this.calculateScore(applicationProfile, config);
    }
    
    return Object.entries(scores)
      .sort(([,a], [,b]) => b - a)
      .map(([strategy, score]) => ({ strategy, score, ...this.strategies[strategy] }));
  }
  
  static calculateScore(profile, config) {
    const criteriaMatch = config.criteria.filter(
      criteria => profile.characteristics.includes(criteria)
    ).length;
    
    const effortPenalty = config.effort * profile.timeConstraint;
    const riskPenalty = config.risk * profile.riskTolerance;
    
    return (criteriaMatch * 10) - effortPenalty - riskPenalty;
  }
}

#!/bin/bash
# Script de preparación para migración de aplicación

# 1. Análisis de dependencias
echo "🔍 Analizando dependencias..."
dependency-analyzer --app=$APP_NAME --output=dependencies.json

# 2. Backup completo
echo "💾 Creando backup..."
create-backup --app=$APP_NAME --destination=$BACKUP_LOCATION

# 3. Configuración de monitoreo
echo "📊 Configurando monitoreo..."
setup-migration-monitoring --app=$APP_NAME

# 4. Validación de conectividad
echo "🔗 Validando conectividad..."
test-connectivity --source=$SOURCE_ENV --target=$TARGET_ENV

# 5. Preparación de entorno destino
echo "🎯 Preparando entorno destino..."
provision-target-environment --config=migration-config.yaml

# Configuración para migración blue-green
apiVersion: v1
kind: Service
metadata:
  name: app-service
  labels:
    app: myapp
spec:
  selector:
    app: myapp
    version: blue  # Inicialmente apunta a versión blue
  ports:
  - port: 80
    targetPort: 8080
---
apiVersion: apps/v1
kind: Deployment
metadata:
  name: myapp-green
  labels:
    app: myapp
    version: green
spec:
  replicas: 3
  selector:
    matchLabels:
      app: myapp
      version: green
  template:
    metadata:
      labels:
        app: myapp
        version: green
    spec:
      containers:
      - name: app
        image: myapp:new-platform
        ports:
        - containerPort: 8080
        env:
        - name: DATABASE_URL
          value: "new-platform-db-connection"
        readinessProbe:
          httpGet:
            path: /health
            port: 8080
          initialDelaySeconds: 30
          periodSeconds: 10

// Implementación de migración canary
class CanaryMigration {
  constructor(trafficSplitter, healthChecker) {
    this.trafficSplitter = trafficSplitter;
    this.healthChecker = healthChecker;
    this.phases = [
      { name: 'initial', traffic: 5, duration: 300 },    // 5% por 5 min
      { name: 'ramp1', traffic: 10, duration: 600 },     // 10% por 10 min
      { name: 'ramp2', traffic: 25, duration: 900 },     // 25% por 15 min
      { name: 'ramp3', traffic: 50, duration: 1200 },    // 50% por 20 min
      { name: 'complete', traffic: 100, duration: 0 }    // 100%
    ];
  }
  
  async executeMigration() {
    for (const phase of this.phases) {
      console.log(`🚀 Iniciando fase ${phase.name}: ${phase.traffic}% tráfico`);
      
      // Configurar split de tráfico
      await this.trafficSplitter.setTrafficSplit({
        newVersion: phase.traffic,
        oldVersion: 100 - phase.traffic
      });
      
      // Monitorear durante la duración de la fase
      const healthCheck = await this.monitorPhase(phase);
      
      if (!healthCheck.success) {
        console.log(`❌ Fase ${phase.name} falló, ejecutando rollback`);
        await this.rollback();
        throw new Error(`Migration failed in phase ${phase.name}: ${healthCheck.error}`);
      }
      
      console.log(`✅ Fase ${phase.name} completada exitosamente`);
    }
    
    console.log('🎉 Migración canary completada exitosamente');
  }
  
  async monitorPhase(phase) {
    const startTime = Date.now();
    const endTime = startTime + (phase.duration * 1000);
    
    while (Date.now() < endTime) {
      const health = await this.healthChecker.checkHealth();
      
      if (health.errorRate > 0.05 || health.latencyP99 > 2000) {
        return {
          success: false,
          error: `Health check failed: ${health.errorRate}% error rate, ${health.latencyP99}ms p99 latency`
        };
      }
      
      // Esperar 30 segundos antes del siguiente check
      await new Promise(resolve => setTimeout(resolve, 30000));
    }
    
    return { success: true };
  }
  
  async rollback() {
    console.log('🔄 Ejecutando rollback...');
    await this.trafficSplitter.setTrafficSplit({
      newVersion: 0,
      oldVersion: 100
    });
    console.log('✅ Rollback completado');
  }
}

import asyncio
import logging
from dataclasses import dataclass
from typing import List, Dict, Any

@dataclass
class MigrationBatch:
    table_name: str
    start_id: int
    end_id: int
    estimated_rows: int

class DataMigrationOrchestrator:
    def __init__(self, source_db, target_db, batch_size=10000):
        self.source_db = source_db
        self.target_db = target_db
        self.batch_size = batch_size
        self.logger = logging.getLogger(__name__)
    
    async def migrate_table(self, table_name: str, validation_strategy='checksum'):
        """Migra una tabla completa usando batches paralelos"""
        
        # 1. Análisis de tabla
        table_info = await self.analyze_table(table_name)
        batches = self.create_batches(table_info)
        
        # 2. Crear tabla destino
        await self.create_target_table(table_name, table_info.schema)
        
        # 3. Migración por batches
        semaphore = asyncio.Semaphore(5)  # Máximo 5 batches concurrentes
        
        async def migrate_batch(batch):
            async with semaphore:
                return await self.process_batch(batch, validation_strategy)
        
        results = await asyncio.gather(
            *[migrate_batch(batch) for batch in batches],
            return_exceptions=True
        )
        
        # 4. Validación final
        await self.validate_migration(table_name, validation_strategy)
        
        # 5. Reporte de resultados
        success_count = sum(1 for r in results if not isinstance(r, Exception))
        self.logger.info(f"Migración de {table_name}: {success_count}/{len(batches)} batches exitosos")
        
        return success_count == len(batches)
    
    async def process_batch(self, batch: MigrationBatch, validation_strategy: str):
        """Procesa un batch individual con retry y validación"""
        max_retries = 3
        
        for attempt in range(max_retries):
            try:
                # Extraer datos del origen
                source_data = await self.extract_batch(batch)
                
                # Transformar datos si es necesario
                transformed_data = await self.transform_data(source_data, batch.table_name)
                
                # Cargar en destino
                await self.load_batch(transformed_data, batch.table_name)
                
                # Validar batch
                if validation_strategy == 'checksum':
                    await self.validate_batch_checksum(batch)
                elif validation_strategy == 'row_count':
                    await self.validate_batch_count(batch)
                
                self.logger.info(f"Batch {batch.start_id}-{batch.end_id} migrado exitosamente")
                return True
                
            except Exception as e:
                self.logger.warning(f"Intento {attempt + 1} falló para batch {batch.start_id}-{batch.end_id}: {e}")
                if attempt == max_retries - 1:
                    raise
                await asyncio.sleep(2 ** attempt)  # Backoff exponencial
    
    async def validate_migration(self, table_name: str, strategy: str):
        """Validación completa post-migración"""
        
        if strategy == 'checksum':
            source_checksum = await self.calculate_table_checksum(self.source_db, table_name)
            target_checksum = await self.calculate_table_checksum(self.target_db, table_name)
            
            if source_checksum != target_checksum:
                raise ValueError(f"Checksum mismatch for {table_name}")
        
        elif strategy == 'row_count':
            source_count = await self.get_row_count(self.source_db, table_name)
            target_count = await self.get_row_count(self.target_db, table_name)
            
            if source_count != target_count:
                raise ValueError(f"Row count mismatch for {table_name}: {source_count} vs {target_count}")
        
        self.logger.info(f"Validación de {table_name} completada exitosamente")

migration_risks:
  high_risk:
    - name: "Data Loss"
      probability: "low"
      impact: "critical"
      mitigation: ["multiple_backups", "checksums", "rollback_plan"]
    
    - name: "Extended Downtime"
      probability: "medium"
      impact: "high"
      mitigation: ["blue_green_deployment", "canary_rollout", "fallback_infrastructure"]
    
    - name: "Performance Degradation"
      probability: "medium"
      impact: "high"
      mitigation: ["load_testing", "capacity_planning", "monitoring_alerts"]
  
  medium_risk:
    - name: "Integration Failures"
      probability: "medium"
      impact: "medium"
      mitigation: ["integration_testing", "api_versioning", "circuit_breakers"]
    
    - name: "Security Vulnerabilities"
      probability: "low"
      impact: "high"
      mitigation: ["security_scanning", "pen_testing", "compliance_validation"]
  
  low_risk:
    - name: "Minor Configuration Issues"
      probability: "high"
      impact: "low"
      mitigation: ["configuration_management", "automated_testing"]

// Procedimientos de contingencia automatizados
class MigrationContingencyManager {
  constructor(monitoring, alerting, rollbackService) {
    this.monitoring = monitoring;
    this.alerting = alerting;
    this.rollbackService = rollbackService;
    this.contingencyThresholds = {
      errorRate: 0.05,      // 5% error rate
      latencyP99: 2000,     // 2 second p99 latency
      availabilityTarget: 0.999  // 99.9% availability
    };
  }
  
  async monitorMigration(migrationId) {
    const checkInterval = 30000; // 30 seconds
    const maxDuration = 4 * 60 * 60 * 1000; // 4 hours max
    const startTime = Date.now();
    
    while (Date.now() - startTime < maxDuration) {
      const metrics = await this.monitoring.getMetrics(migrationId);
      const contingencyAction = this.evaluateContingency(metrics);
      
      if (contingencyAction) {
        await this.executeContingency(contingencyAction, migrationId);
        break;
      }
      
      await this.sleep(checkInterval);
    }
  }
  
  evaluateContingency(metrics) {
    if (metrics.errorRate > this.contingencyThresholds.errorRate) {
      return {
        action: 'ROLLBACK',
        reason: `Error rate ${metrics.errorRate} exceeds threshold ${this.contingencyThresholds.errorRate}`,
        severity: 'CRITICAL'
      };
    }
    
    if (metrics.latencyP99 > this.contingencyThresholds.latencyP99) {
      return {
        action: 'PAUSE_AND_INVESTIGATE',
        reason: `P99 latency ${metrics.latencyP99}ms exceeds threshold ${this.contingencyThresholds.latencyP99}ms`,
        severity: 'HIGH'
      };
    }
    
    if (metrics.availability < this.contingencyThresholds.availabilityTarget) {
      return {
        action: 'ROLLBACK',
        reason: `Availability ${metrics.availability} below target ${this.contingencyThresholds.availabilityTarget}`,
        severity: 'CRITICAL'
      };
    }
    
    return null;
  }
  
  async executeContingency(action, migrationId) {
    const alert = {
      severity: action.severity,
      message: `Migration contingency triggered: ${action.reason}`,
      migrationId,
      action: action.action,
      timestamp: new Date().toISOString()
    };
    
    await this.alerting.sendAlert(alert);
    
    switch (action.action) {
      case 'ROLLBACK':
        await this.rollbackService.executeRollback(migrationId);
        break;
      
      case 'PAUSE_AND_INVESTIGATE':
        await this.pauseMigration(migrationId);
        await this.alerting.escalateToEngineering(alert);
        break;
      
      default:
        console.warn(`Unknown contingency action: ${action.action}`);
    }
  }
}

# Configuración de testing para migración
testing_framework:
  pre_migration:
    - smoke_tests: "basic_functionality"
    - load_tests: "performance_baseline"
    - security_scans: "vulnerability_assessment"
    - backup_validation: "restore_test"
  
  during_migration:
    - health_checks: "continuous_monitoring"
    - data_validation: "checksum_verification"
    - performance_monitoring: "latency_tracking"
    - rollback_testing: "fallback_verification"
  
  post_migration:
    - functionality_tests: "full_regression_suite"
    - integration_tests: "end_to_end_workflows"
    - performance_tests: "load_comparison"
    - security_validation: "penetration_testing"
    - disaster_recovery: "backup_restore_test"

test_automation:
  herramientas:
    - performance: ["jmeter", "k6", "artillery"]
    - security: ["owasp_zap", "nessus", "burp_suite"]
    - functional: ["selenium", "cypress", "postman"]
    - infrastructure: ["terraform_test", "kitchen", "inspec"]
  
  ci_cd_integration:
    - pre_commit: ["unit_tests", "security_lint"]
    - pr_validation: ["integration_tests", "security_scan"]
    - deployment: ["smoke_tests", "health_checks"]
    - post_deployment: ["regression_tests", "performance_validation"]