""" GT 2.0 Resource Cluster - Service Manager Orchestrates external web services (CTFd, Canvas LMS, Guacamole, JupyterHub) with perfect tenant isolation and security. """ import asyncio import json import logging import subprocess import uuid from datetime import datetime, timedelta from typing import Dict, List, Optional, Any, Tuple from dataclasses import dataclass, asdict from pathlib import Path try: import docker import kubernetes from kubernetes import client, config from kubernetes.client.rest import ApiException DOCKER_AVAILABLE = True KUBERNETES_AVAILABLE = True except ImportError: # For development containerization mode, these are optional docker = None kubernetes = None client = None config = None ApiException = Exception DOCKER_AVAILABLE = False KUBERNETES_AVAILABLE = False from app.core.config import get_settings from app.core.security import verify_capability_token from app.utils.encryption import encrypt_data, decrypt_data logger = logging.getLogger(__name__) @dataclass class ServiceInstance: """Represents a deployed service instance""" instance_id: str tenant_id: str service_type: str # 'ctfd', 'canvas', 'guacamole', 'jupyter' status: str # 'starting', 'running', 'stopping', 'stopped', 'error' endpoint_url: str internal_port: int external_port: int namespace: str deployment_name: str service_name: str ingress_name: str sso_token: Optional[str] = None created_at: datetime = datetime.utcnow() last_heartbeat: datetime = datetime.utcnow() resource_usage: Dict[str, Any] = None def to_dict(self) -> Dict[str, Any]: data = asdict(self) data['created_at'] = self.created_at.isoformat() data['last_heartbeat'] = self.last_heartbeat.isoformat() return data @dataclass class ServiceTemplate: """Service deployment template configuration""" service_type: str image: str ports: Dict[str, int] environment: Dict[str, str] volumes: List[Dict[str, str]] resource_limits: Dict[str, str] security_context: Dict[str, Any] health_check: Dict[str, Any] sso_config: Dict[str, Any] class ServiceManager: """Manages external web service instances with Kubernetes orchestration""" def __init__(self): # Initialize Docker client if available if DOCKER_AVAILABLE: try: self.docker_client = docker.from_env() except Exception as e: logger.warning(f"Could not initialize Docker client: {e}") self.docker_client = None else: self.docker_client = None self.k8s_client = None self.active_instances: Dict[str, ServiceInstance] = {} self.service_templates: Dict[str, ServiceTemplate] = {} self.base_namespace = "gt-services" self.storage_path = Path("/tmp/resource-cluster/services") self.storage_path.mkdir(parents=True, exist_ok=True) # Initialize Kubernetes client if available if KUBERNETES_AVAILABLE: try: config.load_incluster_config() # If running in cluster except: try: config.load_kube_config() # If running locally except: logger.warning("Could not load Kubernetes config - using mock mode") self.k8s_client = client.ApiClient() if client else None else: logger.warning("Kubernetes not available - running in development containerization mode") self._initialize_service_templates() self._load_persistent_instances() def _initialize_service_templates(self): """Initialize service deployment templates""" # CTFd Template self.service_templates['ctfd'] = ServiceTemplate( service_type='ctfd', image='ctfd/ctfd:3.6.0', ports={'http': 8000}, environment={ 'SECRET_KEY': '${TENANT_SECRET_KEY}', 'DATABASE_URL': 'sqlite:////data/ctfd.db', 'DATABASE_CACHE_URL': 'postgresql://gt2_tenant_user:gt2_tenant_dev_password@tenant-postgres:5432/gt2_tenants', 'UPLOAD_FOLDER': '/data/uploads', 'LOG_FOLDER': '/data/logs', }, volumes=[ {'name': 'ctfd-data', 'mountPath': '/data', 'size': '5Gi'}, {'name': 'ctfd-uploads', 'mountPath': '/uploads', 'size': '2Gi'} ], resource_limits={ 'memory': '2Gi', 'cpu': '1000m' }, security_context={ 'runAsNonRoot': True, 'runAsUser': 1000, 'fsGroup': 1000, 'readOnlyRootFilesystem': False }, health_check={ 'path': '/health', 'port': 8000, 'initial_delay': 30, 'period': 10 }, sso_config={ 'enabled': True, 'provider': 'oauth2', 'callback_path': '/auth/oauth/callback' } ) # Canvas LMS Template self.service_templates['canvas'] = ServiceTemplate( service_type='canvas', image='instructure/canvas-lms:stable', ports={'http': 3000}, environment={ 'CANVAS_LMS_ADMIN_EMAIL': 'admin@${TENANT_DOMAIN}', 'CANVAS_LMS_ADMIN_PASSWORD': '${CANVAS_ADMIN_PASSWORD}', 'CANVAS_LMS_ACCOUNT_NAME': '${TENANT_NAME}', 'CANVAS_LMS_STATS_COLLECTION': 'opt_out', 'POSTGRES_PASSWORD': '${POSTGRES_PASSWORD}', 'DATABASE_CACHE_URL': 'postgresql://gt2_tenant_user:gt2_tenant_dev_password@tenant-postgres:5432/gt2_tenants' }, volumes=[ {'name': 'canvas-data', 'mountPath': '/app/log', 'size': '10Gi'}, {'name': 'canvas-files', 'mountPath': '/app/public/files', 'size': '20Gi'} ], resource_limits={ 'memory': '4Gi', 'cpu': '2000m' }, security_context={ 'runAsNonRoot': True, 'runAsUser': 1000, 'fsGroup': 1000 }, health_check={ 'path': '/health_check', 'port': 3000, 'initial_delay': 60, 'period': 15 }, sso_config={ 'enabled': True, 'provider': 'saml', 'metadata_url': '/auth/saml/metadata' } ) # Guacamole Template self.service_templates['guacamole'] = ServiceTemplate( service_type='guacamole', image='guacamole/guacamole:1.5.3', ports={'http': 8080}, environment={ 'GUACD_HOSTNAME': 'guacd', 'GUACD_PORT': '4822', 'MYSQL_HOSTNAME': 'mysql', 'MYSQL_PORT': '3306', 'MYSQL_DATABASE': 'guacamole_db', 'MYSQL_USER': 'guacamole_user', 'MYSQL_PASSWORD': '${MYSQL_PASSWORD}', 'GUAC_LOG_LEVEL': 'INFO' }, volumes=[ {'name': 'guacamole-data', 'mountPath': '/config', 'size': '1Gi'}, {'name': 'guacamole-recordings', 'mountPath': '/recordings', 'size': '10Gi'} ], resource_limits={ 'memory': '1Gi', 'cpu': '500m' }, security_context={ 'runAsNonRoot': True, 'runAsUser': 1001, 'fsGroup': 1001 }, health_check={ 'path': '/guacamole', 'port': 8080, 'initial_delay': 45, 'period': 10 }, sso_config={ 'enabled': True, 'provider': 'openid', 'extension': 'guacamole-auth-openid' } ) # JupyterHub Template self.service_templates['jupyter'] = ServiceTemplate( service_type='jupyter', image='jupyterhub/jupyterhub:4.0', ports={'http': 8000}, environment={ 'JUPYTERHUB_CRYPT_KEY': '${JUPYTERHUB_CRYPT_KEY}', 'CONFIGPROXY_AUTH_TOKEN': '${CONFIGPROXY_AUTH_TOKEN}', 'DOCKER_NETWORK_NAME': 'jupyterhub', 'DOCKER_NOTEBOOK_IMAGE': 'jupyter/datascience-notebook:lab-4.0.7' }, volumes=[ {'name': 'jupyter-data', 'mountPath': '/srv/jupyterhub', 'size': '5Gi'}, {'name': 'docker-socket', 'mountPath': '/var/run/docker.sock', 'hostPath': '/var/run/docker.sock'} ], resource_limits={ 'memory': '2Gi', 'cpu': '1000m' }, security_context={ 'runAsNonRoot': False, # Needs Docker access 'runAsUser': 0, 'privileged': True }, health_check={ 'path': '/hub/health', 'port': 8000, 'initial_delay': 30, 'period': 15 }, sso_config={ 'enabled': True, 'provider': 'oauth', 'authenticator_class': 'oauthenticator.generic.GenericOAuthenticator' } ) async def create_service_instance( self, tenant_id: str, service_type: str, config_overrides: Dict[str, Any] = None ) -> ServiceInstance: """Create a new service instance for a tenant""" if service_type not in self.service_templates: raise ValueError(f"Unsupported service type: {service_type}") template = self.service_templates[service_type] instance_id = f"{service_type}-{tenant_id}-{uuid.uuid4().hex[:8]}" namespace = f"{self.base_namespace}-{tenant_id}" # Generate unique ports external_port = await self._get_available_port() # Create service instance object instance = ServiceInstance( instance_id=instance_id, tenant_id=tenant_id, service_type=service_type, status='starting', endpoint_url=f"https://{service_type}.{tenant_id}.gt2.com", internal_port=template.ports['http'], external_port=external_port, namespace=namespace, deployment_name=f"{service_type}-{instance_id}", service_name=f"{service_type}-service-{instance_id}", ingress_name=f"{service_type}-ingress-{instance_id}", resource_usage={'cpu': 0, 'memory': 0, 'storage': 0} ) try: # Create Kubernetes namespace if not exists await self._create_namespace(namespace, tenant_id) # Deploy the service await self._deploy_service(instance, template, config_overrides) # Generate SSO token instance.sso_token = await self._generate_sso_token(instance) # Store instance self.active_instances[instance_id] = instance await self._persist_instance(instance) logger.info(f"Created {service_type} instance {instance_id} for tenant {tenant_id}") return instance except Exception as e: logger.error(f"Failed to create service instance: {e}") instance.status = 'error' raise async def _create_namespace(self, namespace: str, tenant_id: str): """Create Kubernetes namespace with proper labeling and network policies""" if not self.k8s_client: logger.info(f"Mock: Created namespace {namespace}") return v1 = client.CoreV1Api(self.k8s_client) # Create namespace namespace_manifest = client.V1Namespace( metadata=client.V1ObjectMeta( name=namespace, labels={ 'gt.tenant-id': tenant_id, 'gt.cluster': 'resource', 'gt.isolation': 'tenant' }, annotations={ 'gt.created-by': 'service-manager', 'gt.creation-time': datetime.utcnow().isoformat() } ) ) try: v1.create_namespace(namespace_manifest) logger.info(f"Created namespace: {namespace}") except ApiException as e: if e.status == 409: # Already exists logger.info(f"Namespace {namespace} already exists") else: raise # Apply network policy for tenant isolation await self._apply_network_policy(namespace, tenant_id) async def _apply_network_policy(self, namespace: str, tenant_id: str): """Apply network policy for tenant isolation""" if not self.k8s_client: logger.info(f"Mock: Applied network policy to {namespace}") return networking_v1 = client.NetworkingV1Api(self.k8s_client) # Network policy that only allows: # 1. Intra-namespace communication # 2. Communication to system namespaces (DNS, etc.) # 3. Egress to external services (for updates, etc.) network_policy = client.V1NetworkPolicy( metadata=client.V1ObjectMeta( name=f"tenant-isolation-{tenant_id}", namespace=namespace, labels={'gt.tenant-id': tenant_id} ), spec=client.V1NetworkPolicySpec( pod_selector=client.V1LabelSelector(), # All pods in namespace policy_types=['Ingress', 'Egress'], ingress=[ # Allow ingress from same namespace client.V1NetworkPolicyIngressRule( from_=[client.V1NetworkPolicyPeer( namespace_selector=client.V1LabelSelector( match_labels={'name': namespace} ) )] ), # Allow ingress from ingress controller client.V1NetworkPolicyIngressRule( from_=[client.V1NetworkPolicyPeer( namespace_selector=client.V1LabelSelector( match_labels={'name': 'ingress-nginx'} ) )] ) ], egress=[ # Allow egress within namespace client.V1NetworkPolicyEgressRule( to=[client.V1NetworkPolicyPeer( namespace_selector=client.V1LabelSelector( match_labels={'name': namespace} ) )] ), # Allow DNS client.V1NetworkPolicyEgressRule( to=[client.V1NetworkPolicyPeer( namespace_selector=client.V1LabelSelector( match_labels={'name': 'kube-system'} ) )], ports=[client.V1NetworkPolicyPort(port=53, protocol='UDP')] ), # Allow external HTTPS (for updates, etc.) client.V1NetworkPolicyEgressRule( ports=[ client.V1NetworkPolicyPort(port=443, protocol='TCP'), client.V1NetworkPolicyPort(port=80, protocol='TCP') ] ) ] ) ) try: networking_v1.create_namespaced_network_policy( namespace=namespace, body=network_policy ) logger.info(f"Applied network policy to namespace: {namespace}") except ApiException as e: if e.status == 409: # Already exists logger.info(f"Network policy already exists in {namespace}") else: logger.error(f"Failed to create network policy: {e}") raise async def _deploy_service( self, instance: ServiceInstance, template: ServiceTemplate, config_overrides: Dict[str, Any] = None ): """Deploy service to Kubernetes cluster""" if not self.k8s_client: logger.info(f"Mock: Deployed {template.service_type} service") instance.status = 'running' return # Prepare environment variables with tenant-specific values environment = template.environment.copy() if config_overrides: environment.update(config_overrides.get('environment', {})) # Substitute tenant-specific values env_vars = [] for key, value in environment.items(): substituted_value = value.replace('${TENANT_ID}', instance.tenant_id) substituted_value = substituted_value.replace('${TENANT_DOMAIN}', f"{instance.tenant_id}.gt2.com") env_vars.append(client.V1EnvVar(name=key, value=substituted_value)) # Create volumes volumes = [] volume_mounts = [] for vol_config in template.volumes: vol_name = f"{vol_config['name']}-{instance.instance_id}" volumes.append(client.V1Volume( name=vol_name, persistent_volume_claim=client.V1PersistentVolumeClaimVolumeSource( claim_name=vol_name ) )) volume_mounts.append(client.V1VolumeMount( name=vol_name, mount_path=vol_config['mountPath'] )) # Create PVCs first await self._create_persistent_volumes(instance, template) # Create deployment deployment = client.V1Deployment( metadata=client.V1ObjectMeta( name=instance.deployment_name, namespace=instance.namespace, labels={ 'app': template.service_type, 'instance': instance.instance_id, 'gt.tenant-id': instance.tenant_id, 'gt.service-type': template.service_type } ), spec=client.V1DeploymentSpec( replicas=1, selector=client.V1LabelSelector( match_labels={'instance': instance.instance_id} ), template=client.V1PodTemplateSpec( metadata=client.V1ObjectMeta( labels={ 'app': template.service_type, 'instance': instance.instance_id, 'gt.tenant-id': instance.tenant_id } ), spec=client.V1PodSpec( containers=[client.V1Container( name=template.service_type, image=template.image, ports=[client.V1ContainerPort( container_port=template.ports['http'] )], env=env_vars, volume_mounts=volume_mounts, resources=client.V1ResourceRequirements( limits=template.resource_limits, requests=template.resource_limits ), security_context=client.V1SecurityContext(**template.security_context), liveness_probe=client.V1Probe( http_get=client.V1HTTPGetAction( path=template.health_check['path'], port=template.health_check['port'] ), initial_delay_seconds=template.health_check['initial_delay'], period_seconds=template.health_check['period'] ), readiness_probe=client.V1Probe( http_get=client.V1HTTPGetAction( path=template.health_check['path'], port=template.health_check['port'] ), initial_delay_seconds=10, period_seconds=5 ) )], volumes=volumes, security_context=client.V1PodSecurityContext( run_as_non_root=template.security_context.get('runAsNonRoot', True), fs_group=template.security_context.get('fsGroup', 1000) ) ) ) ) ) # Deploy to Kubernetes apps_v1 = client.AppsV1Api(self.k8s_client) apps_v1.create_namespaced_deployment( namespace=instance.namespace, body=deployment ) # Create service await self._create_service(instance, template) # Create ingress await self._create_ingress(instance, template) logger.info(f"Deployed {template.service_type} service: {instance.deployment_name}") async def _create_persistent_volumes(self, instance: ServiceInstance, template: ServiceTemplate): """Create persistent volume claims for the service""" if not self.k8s_client: return v1 = client.CoreV1Api(self.k8s_client) for vol_config in template.volumes: if 'hostPath' in vol_config: # Skip host path volumes continue pvc_name = f"{vol_config['name']}-{instance.instance_id}" pvc = client.V1PersistentVolumeClaim( metadata=client.V1ObjectMeta( name=pvc_name, namespace=instance.namespace, labels={ 'app': template.service_type, 'instance': instance.instance_id, 'gt.tenant-id': instance.tenant_id } ), spec=client.V1PersistentVolumeClaimSpec( access_modes=['ReadWriteOnce'], resources=client.V1ResourceRequirements( requests={'storage': vol_config['size']} ), storage_class_name='fast-ssd' # Assuming SSD storage class ) ) try: v1.create_namespaced_persistent_volume_claim( namespace=instance.namespace, body=pvc ) logger.info(f"Created PVC: {pvc_name}") except ApiException as e: if e.status != 409: # Ignore if already exists raise async def _create_service(self, instance: ServiceInstance, template: ServiceTemplate): """Create Kubernetes service for the instance""" if not self.k8s_client: return v1 = client.CoreV1Api(self.k8s_client) service = client.V1Service( metadata=client.V1ObjectMeta( name=instance.service_name, namespace=instance.namespace, labels={ 'app': template.service_type, 'instance': instance.instance_id, 'gt.tenant-id': instance.tenant_id } ), spec=client.V1ServiceSpec( selector={'instance': instance.instance_id}, ports=[client.V1ServicePort( port=80, target_port=template.ports['http'], protocol='TCP' )], type='ClusterIP' ) ) v1.create_namespaced_service( namespace=instance.namespace, body=service ) logger.info(f"Created service: {instance.service_name}") async def _create_ingress(self, instance: ServiceInstance, template: ServiceTemplate): """Create ingress for external access with TLS""" if not self.k8s_client: return networking_v1 = client.NetworkingV1Api(self.k8s_client) hostname = f"{template.service_type}.{instance.tenant_id}.gt2.com" ingress = client.V1Ingress( metadata=client.V1ObjectMeta( name=instance.ingress_name, namespace=instance.namespace, labels={ 'app': template.service_type, 'instance': instance.instance_id, 'gt.tenant-id': instance.tenant_id }, annotations={ 'kubernetes.io/ingress.class': 'nginx', 'cert-manager.io/cluster-issuer': 'letsencrypt-prod', 'nginx.ingress.kubernetes.io/ssl-redirect': 'true', 'nginx.ingress.kubernetes.io/force-ssl-redirect': 'true', 'nginx.ingress.kubernetes.io/auth-url': f'https://auth.{instance.tenant_id}.gt2.com/auth', 'nginx.ingress.kubernetes.io/auth-signin': f'https://auth.{instance.tenant_id}.gt2.com/signin' } ), spec=client.V1IngressSpec( tls=[client.V1IngressTLS( hosts=[hostname], secret_name=f"{template.service_type}-tls-{instance.instance_id}" )], rules=[client.V1IngressRule( host=hostname, http=client.V1HTTPIngressRuleValue( paths=[client.V1HTTPIngressPath( path='/', path_type='Prefix', backend=client.V1IngressBackend( service=client.V1IngressServiceBackend( name=instance.service_name, port=client.V1ServiceBackendPort(number=80) ) ) )] ) )] ) ) networking_v1.create_namespaced_ingress( namespace=instance.namespace, body=ingress ) logger.info(f"Created ingress: {instance.ingress_name} for {hostname}") async def _get_available_port(self) -> int: """Get next available port for service""" used_ports = {instance.external_port for instance in self.active_instances.values()} port = 30000 # Start from NodePort range while port in used_ports: port += 1 return port async def _generate_sso_token(self, instance: ServiceInstance) -> str: """Generate SSO token for iframe embedding""" token_data = { 'tenant_id': instance.tenant_id, 'service_type': instance.service_type, 'instance_id': instance.instance_id, 'expires_at': (datetime.utcnow() + timedelta(hours=24)).isoformat(), 'permissions': ['read', 'write', 'admin'] } # Encrypt the token data encrypted_token = encrypt_data(json.dumps(token_data)) return encrypted_token.decode('utf-8') async def get_service_instance(self, instance_id: str) -> Optional[ServiceInstance]: """Get service instance by ID""" return self.active_instances.get(instance_id) async def list_tenant_instances(self, tenant_id: str) -> List[ServiceInstance]: """List all service instances for a tenant""" return [ instance for instance in self.active_instances.values() if instance.tenant_id == tenant_id ] async def stop_service_instance(self, instance_id: str) -> bool: """Stop a running service instance""" instance = self.active_instances.get(instance_id) if not instance: return False try: instance.status = 'stopping' if self.k8s_client: # Delete Kubernetes resources await self._cleanup_kubernetes_resources(instance) instance.status = 'stopped' logger.info(f"Stopped service instance: {instance_id}") return True except Exception as e: logger.error(f"Failed to stop instance {instance_id}: {e}") instance.status = 'error' return False async def _cleanup_kubernetes_resources(self, instance: ServiceInstance): """Clean up all Kubernetes resources for an instance""" if not self.k8s_client: return apps_v1 = client.AppsV1Api(self.k8s_client) v1 = client.CoreV1Api(self.k8s_client) networking_v1 = client.NetworkingV1Api(self.k8s_client) try: # Delete deployment apps_v1.delete_namespaced_deployment( name=instance.deployment_name, namespace=instance.namespace, body=client.V1DeleteOptions() ) # Delete service v1.delete_namespaced_service( name=instance.service_name, namespace=instance.namespace, body=client.V1DeleteOptions() ) # Delete ingress networking_v1.delete_namespaced_ingress( name=instance.ingress_name, namespace=instance.namespace, body=client.V1DeleteOptions() ) # Delete PVCs (optional - may want to preserve data) # Note: In production, you might want to keep PVCs for data persistence logger.info(f"Cleaned up Kubernetes resources for: {instance.instance_id}") except ApiException as e: logger.error(f"Error cleaning up resources: {e}") raise async def get_service_health(self, instance_id: str) -> Dict[str, Any]: """Get health status of a service instance""" instance = self.active_instances.get(instance_id) if not instance: return {'status': 'not_found'} if not self.k8s_client: return { 'status': 'healthy', 'instance_status': instance.status, 'endpoint': instance.endpoint_url, 'last_check': datetime.utcnow().isoformat() } # Check Kubernetes pod status v1 = client.CoreV1Api(self.k8s_client) try: pods = v1.list_namespaced_pod( namespace=instance.namespace, label_selector=f'instance={instance.instance_id}' ) if not pods.items: return { 'status': 'no_pods', 'instance_status': instance.status } pod = pods.items[0] pod_status = 'unknown' if pod.status.phase == 'Running': # Check container status if pod.status.container_statuses: container_status = pod.status.container_statuses[0] if container_status.ready: pod_status = 'healthy' else: pod_status = 'unhealthy' else: pod_status = 'starting' elif pod.status.phase == 'Pending': pod_status = 'starting' elif pod.status.phase == 'Failed': pod_status = 'failed' # Update instance heartbeat instance.last_heartbeat = datetime.utcnow() return { 'status': pod_status, 'instance_status': instance.status, 'pod_phase': pod.status.phase, 'endpoint': instance.endpoint_url, 'last_check': datetime.utcnow().isoformat(), 'restart_count': pod.status.container_statuses[0].restart_count if pod.status.container_statuses else 0 } except ApiException as e: logger.error(f"Failed to get health for {instance_id}: {e}") return { 'status': 'error', 'error': str(e), 'instance_status': instance.status } async def _persist_instance(self, instance: ServiceInstance): """Persist instance data to disk""" instance_file = self.storage_path / f"{instance.instance_id}.json" with open(instance_file, 'w') as f: json.dump(instance.to_dict(), f, indent=2) def _load_persistent_instances(self): """Load persistent instances from disk on startup""" if not self.storage_path.exists(): return for instance_file in self.storage_path.glob("*.json"): try: with open(instance_file, 'r') as f: data = json.load(f) # Reconstruct instance object instance = ServiceInstance( instance_id=data['instance_id'], tenant_id=data['tenant_id'], service_type=data['service_type'], status=data['status'], endpoint_url=data['endpoint_url'], internal_port=data['internal_port'], external_port=data['external_port'], namespace=data['namespace'], deployment_name=data['deployment_name'], service_name=data['service_name'], ingress_name=data['ingress_name'], sso_token=data.get('sso_token'), created_at=datetime.fromisoformat(data['created_at']), last_heartbeat=datetime.fromisoformat(data['last_heartbeat']), resource_usage=data.get('resource_usage', {}) ) self.active_instances[instance.instance_id] = instance logger.info(f"Loaded persistent instance: {instance.instance_id}") except Exception as e: logger.error(f"Failed to load instance from {instance_file}: {e}") async def cleanup_orphaned_resources(self): """Clean up orphaned Kubernetes resources""" if not self.k8s_client: return logger.info("Starting cleanup of orphaned resources...") # This would implement logic to find and clean up: # 1. Deployments without corresponding instances # 2. Services without deployments # 3. Unused PVCs # 4. Expired certificates # Implementation would query Kubernetes for resources with GT labels # and cross-reference with active instances logger.info("Cleanup completed")