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Ejercicio: Recuperación ante Desastres con AWS DRS

Parte 1: Configuración Base y Replicación

Escenario

Implementaremos una solución de recuperación ante desastres que incluye:

  • Replicación continua con AWS DRS
  • DNS Failover con Route 53
  • Automatización con Systems Manager
  • Monitoreo y alertas

Estructura del Proyecto

disaster-recovery/
├── infrastructure/
│   ├── terraform/
│   │   ├── drs/
│   │   │   ├── main.tf
│   │   │   ├── variables.tf
│   │   │   └── outputs.tf
│   │   ├── networking/
│   │   │   ├── vpc.tf
│   │   │   └── security.tf
│   │   └── monitoring/
│   │       └── cloudwatch.tf
│   │
│   ├── scripts/
│   │   ├── setup/
│   │   │   ├── install_drs_agent.sh
│   │   │   └── configure_source.sh
│   │   └── validation/
│   │       └── verify_replication.sh
│   │
│   └── configs/
│       ├── drs_settings.json
│       └── replication_settings.json

├── source-environment/
│   ├── inventory/
│   │   └── servers.json
│   └── scripts/
│       └── prepare_servers.sh

├── recovery-environment/
│   ├── launch-templates/
│   │   └── recovery_template.json
│   └── scripts/
│       └── post_launch.sh

├── monitoring/
│   ├── dashboards/
│   │   └── replication_status.json
│   └── alerts/
│       └── replication_alerts.json

└── docs/
    ├── setup.md
    └── recovery_plan.md

1. Configuración de AWS DRS

1.1 Terraform DRS Configuration

hcl
# infrastructure/terraform/drs/main.tf
provider "aws" {
  region = var.primary_region
}

provider "aws" {
  alias  = "dr"
  region = var.dr_region
}

resource "aws_drs_replication_configuration_template" "main" {
  associate_default_security_group = true
  bandwidth_throttling            = 100
  create_public_ip               = false
  data_plane_routing            = "PRIVATE_IP"
  ebs_encryption               = true
  
  replication_server_instance_type = "t3.medium"
  
  tags = {
    Environment = var.environment
    Project     = "DR-Solution"
  }
}

resource "aws_drs_source_server" "example" {
  count = length(var.source_servers)
  
  source_server_id = var.source_servers[count.index].id
  
  tags = {
    Name = var.source_servers[count.index].name
    Environment = var.environment
  }
}

1.2 Script de Instalación del Agente

bash
#!/bin/bash
# infrastructure/scripts/setup/install_drs_agent.sh

# Variables
REGION="us-west-2"
AGENT_INSTALLER="aws-replication-installer-x86_64.rpm"

# Descargar el agente de DRS
aws s3 cp s3://aws-elastic-disaster-recovery-$REGION/$AGENT_INSTALLER .

# Instalar el agente
sudo yum install -y ./$AGENT_INSTALLER

# Configurar el agente
sudo /aws/aws-replication-installer -i $AWS_ACCESS_KEY -s $AWS_SECRET_KEY -r $REGION

# Verificar instalación
systemctl status aws-replication

1.3 Configuración de Replicación

json
// infrastructure/configs/replication_settings.json
{
  "replicationSettings": {
    "bandwidthThrottling": {
      "enabled": true,
      "schedules": [
        {
          "dayOfWeek": "WEEKDAY",
          "startTime": "09:00",
          "endTime": "17:00",
          "bandwidth": 100
        },
        {
          "dayOfWeek": "WEEKEND",
          "startTime": "00:00",
          "endTime": "23:59",
          "bandwidth": 500
        }
      ]
    },
    "compression": {
      "enabled": true,
      "algorithm": "ZLIB"
    },
    "consistencyCheck": {
      "enabled": true,
      "interval": "24h"
    }
  }
}

2. Inventario de Servidores Fuente

2.1 Inventario

json
// source-environment/inventory/servers.json
{
  "servers": [
    {
      "id": "srv-001",
      "name": "web-server-1",
      "type": "t3.medium",
      "os": "Amazon Linux 2",
      "ip": "10.0.1.10",
      "priority": "high"
    },
    {
      "id": "srv-002",
      "name": "app-server-1",
      "type": "t3.large",
      "os": "Amazon Linux 2",
      "ip": "10.0.1.11",
      "priority": "high"
    },
    {
      "id": "srv-003",
      "name": "db-server-1",
      "type": "r5.large",
      "os": "Amazon Linux 2",
      "ip": "10.0.1.12",
      "priority": "critical"
    }
  ]
}

2.2 Preparación de Servidores

bash
#!/bin/bash
# source-environment/scripts/prepare_servers.sh

# Variables
INVENTORY_FILE="inventory/servers.json"
LOG_FILE="/var/log/drs_preparation.log"

echo "Starting server preparation $(date)" >> $LOG_FILE

# Leer inventario
SERVERS=$(jq -r '.servers[]' $INVENTORY_FILE)

for SERVER in $SERVERS; do
    SERVER_IP=$(echo $SERVER | jq -r '.ip')
    
    echo "Preparing server $SERVER_IP" >> $LOG_FILE
    
    # Instalar prerequisitos
    ssh ec2-user@$SERVER_IP "sudo yum update -y && \
                            sudo yum install -y aws-cli jq"
    
    # Configurar red
    ssh ec2-user@$SERVER_IP "sudo sysctl -w net.ipv4.tcp_keepalive_time=60"
    
    # Verificar espacio en disco
    ssh ec2-user@$SERVER_IP "df -h" >> $LOG_FILE
    
    echo "Server $SERVER_IP prepared successfully" >> $LOG_FILE
done

3. Monitoreo Inicial

3.1 Dashboard de Replicación

json
// monitoring/dashboards/replication_status.json
{
  "widgets": [
    {
      "type": "metric",
      "properties": {
        "metrics": [
          ["AWS/DRS", "DataReplicationBytes", "SourceServerID", "srv-001"],
          ["...", "srv-002"],
          ["...", "srv-003"]
        ],
        "period": 300,
        "stat": "Sum",
        "region": "us-west-2",
        "title": "Data Replication Volume"
      }
    },
    {
      "type": "metric",
      "properties": {
        "metrics": [
          ["AWS/DRS", "ReplicationLag", "SourceServerID", "srv-001"],
          ["...", "srv-002"],
          ["...", "srv-003"]
        ],
        "period": 300,
        "stat": "Average",
        "region": "us-west-2",
        "title": "Replication Lag"
      }
    }
  ]
}

3.2 Alertas de Replicación

json
// monitoring/alerts/replication_alerts.json
{
  "alerts": [
    {
      "name": "HighReplicationLag",
      "description": "Replication lag exceeds threshold",
      "metric": "ReplicationLag",
      "threshold": 3600,
      "evaluationPeriods": 2,
      "period": 300,
      "statistic": "Average",
      "comparisonOperator": "GreaterThanThreshold",
      "treatMissingData": "breaching"
    },
    {
      "name": "ReplicationStopped",
      "description": "Replication has stopped",
      "metric": "DataReplicationBytes",
      "threshold": 0,
      "evaluationPeriods": 3,
      "period": 300,
      "statistic": "Sum",
      "comparisonOperator": "LessThanOrEqualToThreshold",
      "treatMissingData": "breaching"
    }
  ]
}

Verificación Parte 1

1. Verificar DRS

  • [ ] Agente instalado en servidores
  • [ ] Replicación iniciada
  • [ ] Configuración aplicada
  • [ ] Logs disponibles

2. Verificar Servidores

  • [ ] Inventario completo
  • [ ] Preparación exitosa
  • [ ] Conectividad establecida
  • [ ] Recursos suficientes

3. Verificar Monitoreo

  • [ ] Dashboard creado
  • [ ] Alertas configuradas
  • [ ] Métricas recopiladas
  • [ ] Logs centralizados

Troubleshooting Común

Errores de Agente

  1. Verificar instalación
  2. Revisar conectividad
  3. Verificar credenciales

Errores de Replicación

  1. Verificar ancho de banda
  2. Revisar espacio en disco
  3. Verificar consistencia

Errores de Monitoreo

  1. Verificar métricas
  2. Revisar permisos
  3. Verificar configuración

Parte 2: DNS Failover y Estrategia de Recuperación

1. Configuración de Route 53

1.1 Terraform Route 53

hcl
# infrastructure/terraform/route53/main.tf
resource "aws_route53_zone" "main" {
  name = var.domain_name
  
  tags = {
    Environment = var.environment
    Project     = "DR-Solution"
  }
}

resource "aws_route53_health_check" "primary" {
  fqdn              = "primary.${var.domain_name}"
  port              = 443
  type              = "HTTPS"
  request_interval  = 30
  failure_threshold = 3
  
  tags = {
    Name = "Primary-Health-Check"
  }
}

resource "aws_route53_record" "primary" {
  zone_id = aws_route53_zone.main.zone_id
  name    = "primary.${var.domain_name}"
  type    = "A"
  
  failover_routing_policy {
    type = "PRIMARY"
  }
  
  set_identifier = "primary"
  health_check_id = aws_route53_health_check.primary.id
  
  alias {
    name                   = var.primary_lb_dns
    zone_id                = var.primary_lb_zone_id
    evaluate_target_health = true
  }
}

resource "aws_route53_record" "secondary" {
  zone_id = aws_route53_zone.main.zone_id
  name    = "secondary.${var.domain_name}"
  type    = "A"
  
  failover_routing_policy {
    type = "SECONDARY"
  }
  
  set_identifier = "secondary"
  
  alias {
    name                   = var.secondary_lb_dns
    zone_id                = var.secondary_lb_zone_id
    evaluate_target_health = true
  }
}

1.2 Health Checks Personalizados

python
# infrastructure/scripts/health_checks/custom_health_check.py
import boto3
import requests
import json

def check_application_health():
    endpoints = [
        {"url": "https://api.example.com/health", "weight": 2},
        {"url": "https://app.example.com/status", "weight": 1},
        {"url": "https://db.example.com/ping", "weight": 3}
    ]
    
    total_score = 0
    max_score = sum(ep["weight"] for ep in endpoints)
    
    for endpoint in endpoints:
        try:
            response = requests.get(endpoint["url"], timeout=5)
            if response.status_code == 200:
                total_score += endpoint["weight"]
        except:
            continue
    
    health_percentage = (total_score / max_score) * 100
    return health_percentage >= 80

def update_route53_health_check():
    route53 = boto3.client('route53')
    health_check_id = 'your-health-check-id'
    
    if check_application_health():
        status = 'Success'
    else:
        status = 'Failure'
    
    route53.update_health_check(
        HealthCheckId=health_check_id,
        HealthCheckVersion=2,
        Status=status
    )

2. Estrategia de Failover

2.1 Configuración de Política de Failover

json
// infrastructure/configs/failover_policy.json
{
  "failoverConfig": {
    "primaryRegion": "us-east-1",
    "secondaryRegion": "us-west-2",
    "healthCheckThreshold": 80,
    "failoverTriggers": [
      {
        "type": "HealthCheck",
        "threshold": 3,
        "interval": "30s"
      },
      {
        "type": "ManualTrigger",
        "authorizedRoles": ["DR-Admin"]
      }
    ],
    "recoveryPoints": {
      "rpo": "1h",
      "rto": "4h"
    },
    "dnsUpdateStrategy": {
      "updateType": "Gradual",
      "interval": "5m",
      "percentage": 20
    }
  }
}

2.2 Script de Failover

python
# infrastructure/scripts/failover/execute_failover.py
import boto3
import json
import time
from datetime import datetime

class DRFailover:
    def __init__(self):
        self.drs = boto3.client('drs')
        self.route53 = boto3.client('route53')
        self.sns = boto3.client('sns')
        
    def initiate_failover(self, source_servers):
        try:
            # Registrar inicio de failover
            start_time = datetime.now()
            
            # Iniciar recuperación de servidores
            job_ids = []
            for server in source_servers:
                response = self.drs.initialize_service(
                    sourceServerID=server['id']
                )
                job_ids.append(response['jobID'])
            
            # Monitorear progreso
            while not self._all_jobs_complete(job_ids):
                time.sleep(30)
            
            # Actualizar DNS
            self._update_dns_records()
            
            # Notificar completitud
            self._send_notification(
                f"Failover completed successfully in "
                f"{(datetime.now() - start_time).total_seconds()} seconds"
            )
            
            return True
            
        except Exception as e:
            self._send_notification(f"Failover failed: {str(e)}")
            raise
            
    def _all_jobs_complete(self, job_ids):
        for job_id in job_ids:
            response = self.drs.describe_job(jobID=job_id)
            if response['status'] != 'completed':
                return False
        return True
        
    def _update_dns_records(self):
        with open('infrastructure/configs/failover_policy.json', 'r') as f:
            policy = json.load(f)
        
        update_batch = {
            'Changes': [
                {
                    'Action': 'UPSERT',
                    'ResourceRecordSet': {
                        'Name': 'app.example.com',
                        'Type': 'A',
                        'SetIdentifier': 'failover',
                        'Region': policy['failoverConfig']['secondaryRegion'],
                        'AliasTarget': {
                            'HostedZoneId': 'ZONE_ID',
                            'DNSName': 'dr-endpoint.example.com',
                            'EvaluateTargetHealth': True
                        }
                    }
                }
            ]
        }
        
        self.route53.change_resource_record_sets(
            HostedZoneId='ZONE_ID',
            ChangeBatch=update_batch
        )
        
    def _send_notification(self, message):
        self.sns.publish(
            TopicArn='arn:aws:sns:region:account:DR-Notifications',
            Message=message,
            Subject='DR Failover Status'
        )

2.3 Validación de Failover

python
# infrastructure/scripts/failover/validate_failover.py
import requests
import dns.resolver
import json

def validate_failover():
    checks = {
        'dns_propagation': check_dns_propagation(),
        'application_health': check_application_health(),
        'data_consistency': check_data_consistency(),
        'performance': check_performance_metrics()
    }
    
    return all(checks.values()), checks

def check_dns_propagation():
    resolver = dns.resolver.Resolver()
    resolver.nameservers = ['8.8.8.8', '1.1.1.1']
    
    try:
        answers = resolver.resolve('app.example.com', 'A')
        expected_ip = get_dr_endpoint_ip()
        return str(answers[0]) == expected_ip
    except:
        return False

def check_application_health():
    endpoints = [
        '/api/health',
        '/api/status',
        '/api/metrics'
    ]
    
    results = []
    for endpoint in endpoints:
        try:
            response = requests.get(f'https://app.example.com{endpoint}')
            results.append(response.status_code == 200)
        except:
            results.append(False)
    
    return all(results)

def check_data_consistency():
    # Implementar verificaciones de consistencia de datos
    pass

def check_performance_metrics():
    # Implementar verificaciones de rendimiento
    pass

3. Monitoreo de Failover

3.1 CloudWatch Dashboard

json
// monitoring/dashboards/failover_dashboard.json
{
  "widgets": [
    {
      "type": "metric",
      "properties": {
        "metrics": [
          ["AWS/Route53", "HealthCheckStatus", "HealthCheckId", "check-1"],
          ["AWS/DRS", "RecoveryTime", "ServerID", "server-1"],
          ["AWS/DRS", "DataTransferRate", "ServerID", "server-1"]
        ],
        "period": 60,
        "stat": "Average",
        "region": "us-east-1",
        "title": "Failover Metrics"
      }
    }
  ]
}

3.2 Alertas de Failover

python
# monitoring/alerts/failover_alerts.py
def setup_failover_alerts():
    cloudwatch = boto3.client('cloudwatch')
    
    alerts = [
        {
            'name': 'FailoverInitiated',
            'metric': 'FailoverStatus',
            'threshold': 1,
            'period': 60,
            'evaluation_periods': 1
        },
        {
            'name': 'HighRecoveryTime',
            'metric': 'RecoveryTime',
            'threshold': 14400,  # 4 hours
            'period': 300,
            'evaluation_periods': 1
        }
    ]
    
    for alert in alerts:
        cloudwatch.put_metric_alarm(
            AlarmName=alert['name'],
            MetricName=alert['metric'],
            Namespace='DR/Failover',
            Period=alert['period'],
            EvaluationPeriods=alert['evaluation_periods'],
            Threshold=alert['threshold'],
            ComparisonOperator='GreaterThanThreshold',
            AlarmActions=['arn:aws:sns:region:account:DR-Alerts']
        )

Verificación Parte 2

1. Verificar Route 53

  • [ ] Health checks configurados
  • [ ] Registros DNS creados
  • [ ] Failover policy configurada
  • [ ] Propagación DNS verificada

2. Verificar Failover

  • [ ] Scripts funcionando
  • [ ] Proceso automatizado
  • [ ] Validaciones exitosas
  • [ ] Notificaciones configuradas

3. Verificar Monitoreo

  • [ ] Dashboard creado
  • [ ] Alertas configuradas
  • [ ] Métricas registradas
  • [ ] Logs disponibles

Troubleshooting Común

Errores de DNS

  1. Verificar propagación
  2. Revisar health checks
  3. Verificar registros

Errores de Failover

  1. Verificar scripts
  2. Revisar permisos
  3. Verificar conectividad

Errores de Monitoreo

  1. Verificar métricas
  2. Revisar configuración
  3. Verificar alertas

Parte 3: Automatización, Pruebas y Documentación

1. Automatización con Systems Manager

1.1 Runbook de Recuperación

yaml
# infrastructure/ssm/runbooks/dr_recovery.yaml
schemaVersion: '0.3'
description: 'Runbook for automated disaster recovery'
parameters:
  EnvironmentType:
    type: String
    description: Environment to recover (prod/stage)
    allowedValues:
      - prod
      - stage
  InitiatorEmail:
    type: String
    description: Email of the person initiating recovery
mainSteps:
  - name: ValidatePrerequisites
    action: 'aws:executeScript'
    inputs:
      Runtime: python3.8
      Handler: validate_prerequisites
      Script: |
        def validate_prerequisites(events, context):
            # Validar estado de replicación
            # Verificar recursos disponibles
            # Comprobar permisos
            return {'ValidationStatus': 'Success'}

  - name: InitiateRecovery
    action: 'aws:executeScript'
    inputs:
      Runtime: python3.8
      Handler: start_recovery
      Script: |
        def start_recovery(events, context):
            import boto3
            drs = boto3.client('drs')
            
            response = drs.start_recovery_job(
                sourceServerID=events['SourceServerID']
            )
            return {'JobId': response['jobID']}

  - name: MonitorRecovery
    action: 'aws:executeScript'
    inputs:
      Runtime: python3.8
      Handler: monitor_recovery
      Script: |
        def monitor_recovery(events, context):
            import boto3
            import time
            
            drs = boto3.client('drs')
            job_id = events['JobId']
            
            while True:
                status = drs.describe_job(jobID=job_id)
                if status['status'] in ['completed', 'failed']:
                    return status
                time.sleep(60)

  - name: UpdateDNS
    action: 'aws:executeScript'
    inputs:
      Runtime: python3.8
      Handler: update_dns
      Script: |
        def update_dns(events, context):
            import boto3
            route53 = boto3.client('route53')
            
            # Actualizar registros DNS
            return {'DNSUpdateStatus': 'Success'}

  - name: NotifyCompletion
    action: 'aws:executeScript'
    inputs:
      Runtime: python3.8
      Handler: notify_completion
      Script: |
        def notify_completion(events, context):
            import boto3
            sns = boto3.client('sns')
            
            sns.publish(
                TopicArn='arn:aws:sns:region:account:DR-Notifications',
                Message=f"DR Recovery completed: {events}",
                Subject='DR Recovery Status'
            )

1.2 Automatización de Pruebas

python
# infrastructure/ssm/automation/test_automation.py
import boto3
import json

def create_test_automation():
    ssm = boto3.client('ssm')
    
    document = {
        "schemaVersion": "0.3",
        "description": "Automation for DR testing",
        "parameters": {
            "TestType": {
                "type": "String",
                "description": "Type of DR test to perform",
                "allowedValues": [
                    "FullFailover",
                    "PartialFailover",
                    "ComponentTest"
                ]
            }
        },
        "mainSteps": [
            {
                "name": "PrepareTestEnvironment",
                "action": "aws:runCommand",
                "inputs": {
                    "DocumentName": "AWS-RunShellScript",
                    "Parameters": {
                        "commands": [
                            "#!/bin/bash",
                            "echo 'Preparing test environment'",
                            "# Setup test data",
                            "# Configure monitoring"
                        ]
                    }
                }
            },
            {
                "name": "ExecuteTest",
                "action": "aws:executeAutomation",
                "inputs": {
                    "DocumentName": "DR-Recovery",
                    "RuntimeParameters": {
                        "EnvironmentType": "test"
                    }
                }
            },
            {
                "name": "ValidateResults",
                "action": "aws:executeScript",
                "inputs": {
                    "Runtime": "python3.8",
                    "Handler": "validate_test_results",
                    "Script": "validate_results.py"
                }
            }
        ]
    }
    
    ssm.create_document(
        Content=json.dumps(document),
        Name='DR-TestAutomation',
        DocumentType='Automation',
        DocumentFormat='JSON'
    )

2. Pruebas de Recuperación

2.1 Plan de Pruebas

python
# testing/dr_test_plan.py
class DRTestPlan:
    def __init__(self):
        self.ssm = boto3.client('ssm')
        self.drs = boto3.client('drs')
        
    def execute_test_plan(self, test_type):
        test_cases = {
            'FullFailover': self._full_failover_test,
            'PartialFailover': self._partial_failover_test,
            'ComponentTest': self._component_test
        }
        
        test_function = test_cases.get(test_type)
        if test_function:
            return test_function()
        else:
            raise ValueError(f"Unknown test type: {test_type}")
    
    def _full_failover_test(self):
        steps = [
            self._validate_replication_status,
            self._execute_failover,
            self._verify_applications,
            self._test_data_consistency,
            self._measure_recovery_time
        ]
        
        results = []
        for step in steps:
            result = step()
            results.append(result)
            if not result['success']:
                break
                
        return {
            'testType': 'FullFailover',
            'steps': results,
            'overallSuccess': all(r['success'] for r in results)
        }
    
    def _validate_replication_status(self):
        try:
            response = self.drs.describe_source_servers()
            all_healthy = all(
                server['state'] == 'HEALTHY'
                for server in response['items']
            )
            return {
                'step': 'ValidateReplication',
                'success': all_healthy,
                'details': response
            }
        except Exception as e:
            return {
                'step': 'ValidateReplication',
                'success': False,
                'error': str(e)
            }

2.2 Validación de Pruebas

python
# testing/validation/test_validator.py
class DRTestValidator:
    def __init__(self):
        self.cloudwatch = boto3.client('cloudwatch')
        
    def validate_recovery_metrics(self, test_results):
        metrics = {
            'RecoveryTime': self._validate_recovery_time,
            'DataConsistency': self._validate_data_consistency,
            'ApplicationHealth': self._validate_application_health
        }
        
        validation_results = {}
        for metric_name, validator in metrics.items():
            validation_results[metric_name] = validator(test_results)
            
        return validation_results
    
    def _validate_recovery_time(self, results):
        recovery_time = results.get('recoveryTime', float('inf'))
        return {
            'metric': 'RecoveryTime',
            'value': recovery_time,
            'success': recovery_time <= 14400,  # 4 hours
            'threshold': 14400
        }
    
    def _validate_data_consistency(self, results):
        consistency_check = results.get('dataConsistency', {})
        return {
            'metric': 'DataConsistency',
            'value': consistency_check.get('percentage', 0),
            'success': consistency_check.get('percentage', 0) >= 99.9,
            'threshold': 99.9
        }

3. Documentación y Reportes

3.1 Reporte de Pruebas

python
# reporting/test_report_generator.py
class DRTestReportGenerator:
    def generate_report(self, test_results):
        report = {
            'executionDate': datetime.now().isoformat(),
            'summary': self._generate_summary(test_results),
            'details': self._generate_details(test_results),
            'recommendations': self._generate_recommendations(test_results)
        }
        
        return self._format_report(report)
    
    def _generate_summary(self, results):
        return {
            'testType': results['testType'],
            'overallSuccess': results['overallSuccess'],
            'recoveryTime': results.get('recoveryTime'),
            'criticalIssues': len([
                step for step in results['steps']
                if not step['success'] and step.get('critical', True)
            ])
        }
    
    def _format_report(self, report):
        template = """
        # DR Test Report
        
        ## Summary
        - Test Type: {testType}
        - Overall Success: {overallSuccess}
        - Recovery Time: {recoveryTime}
        - Critical Issues: {criticalIssues}
        
        ## Details
        {details}
        
        ## Recommendations
        {recommendations}
        """
        
        return template.format(**report)

3.2 Plan de Documentación

markdown
# docs/dr_documentation.md
# Plan de Recuperación ante Desastres

## 1. Visión General
- Objetivo del Plan
- Roles y Responsabilidades
- RTO y RPO Objetivos

## 2. Procedimientos
### 2.1 Activación del Plan
1. Criterios de Activación
2. Proceso de Escalamiento
3. Comunicaciones

### 2.2 Recuperación
1. Pasos de Recuperación
2. Validaciones
3. Rollback

### 2.3 Pruebas
1. Tipos de Pruebas
2. Calendario
3. Métricas

## 3. Mantenimiento
- Actualizaciones del Plan
- Revisiones
- Mejora Continua

Verificación Final

1. Verificar Automatización

  • [ ] Runbooks funcionando
  • [ ] Pruebas automatizadas
  • [ ] Validaciones implementadas
  • [ ] Reportes generados

2. Verificar Pruebas

  • [ ] Plan ejecutado
  • [ ] Métricas recolectadas
  • [ ] Resultados documentados
  • [ ] Recomendaciones generadas

3. Verificar Documentación

  • [ ] Plan actualizado
  • [ ] Procedimientos claros
  • [ ] Roles definidos
  • [ ] Métricas establecidas

Troubleshooting Final

Errores de Automatización

  1. Verificar logs de Systems Manager
  2. Revisar permisos IAM
  3. Verificar scripts

Errores de Pruebas

  1. Verificar configuración
  2. Revisar validaciones
  3. Verificar métricas

Errores de Documentación

  1. Verificar completitud
  2. Revisar procedimientos
  3. Verificar actualizaciones

Puntos Importantes

  1. Automatización reduce errores
  2. Pruebas regulares son críticas
  3. Documentación debe mantenerse
  4. Mejora continua es esencial

Este ejercicio completo proporciona:

  1. Automatización completa con Systems Manager
  2. Plan de pruebas detallado
  3. Documentación exhaustiva
  4. Validación y reportes

Puntos clave para recordar:

  • La automatización es crítica
  • Las pruebas deben ser regulares
  • La documentación debe estar actualizada
  • El monitoreo continuo es esencial