Skip to main content

Enterprise Setup

For enterprise deployments, Reeflect offers additional features for security, scalability, compliance, and team collaboration.

Enterprise Architecture​

Enterprise Architecture Diagram

Security Configuration​

from reeflect import Reeflect, EnterpriseConfig
from reeflect.adapters.openai import OpenAIAdapter
from reeflect.enterprise.security import SecurityManager

# Configure enterprise security
security_config = EnterpriseConfig(
    # Authentication
    authentication={
        "type": "oauth",
        "provider": "okta",
        "client_id": "your_client_id",
        "client_secret": "your_client_secret",
        "auth_url": "https://your-org.okta.com/oauth2/v1/authorize",
        "token_url": "https://your-org.okta.com/oauth2/v1/token"
    },
    
    # Encryption
    encryption={
        "at_rest": True,
        "in_transit": True,
        "key_management": "aws_kms",
        "kms_key_id": "your_kms_key_id"
    },
    
    # Access Control
    access_control={
        "rbac_enabled": True,
        "default_role": "reader",
        "roles": [
            {"name": "admin", "permissions": ["read", "write", "delete", "manage"]},
            {"name": "editor", "permissions": ["read", "write"]},
            {"name": "reader", "permissions": ["read"]}
        ]
    },
    
    # Compliance
    compliance={
        "data_retention": {
            "policy_enabled": True,
            "retention_period_days": 90,
            "exceptions": ["legal_hold", "regulatory_requirement"]
        },
        "audit_logging": {
            "enabled": True,
            "log_level": "info",
            "destinations": ["cloudwatch", "s3"]
        }
    }
)

# Initialize security manager
security_manager = SecurityManager(security_config)

# Initialize memory system with enterprise security
memory = Reeflect(
    adapter=OpenAIAdapter(...),
    storage_config={...},
    security_manager=security_manager
)

Scalable Deployment​

Enterprise deployments require scalable infrastructure to handle high loads:

from reeflect.enterprise.deployment import DeploymentManager

# Configure scalable deployment
deployment = DeploymentManager()

# Deploy to Kubernetes
deployment.deploy_to_kubernetes(
    namespace="reeflect",
    replicas=3,
    autoscaling={
        "enabled": True,
        "min_replicas": 2,
        "max_replicas": 10,
        "target_cpu_utilization": 70
    },
    resources={
        "requests": {
            "cpu": "500m",
            "memory": "1Gi"
        },
        "limits": {
            "cpu": "2",
            "memory": "4Gi"
        }
    },
    persistence={
        "type": "aws_rds_postgres",
        "connection_string": "postgresql://user:password@postgres-instance.rds.amazonaws.com:5432/reeflect"
    },
    vector_store={
        "type": "pinecone",
        "api_key": "your_pinecone_api_key",
        "environment": "us-west1-gcp",
        "index_name": "reeflect-prod"
    }
)

# Or deploy to cloud service
deployment.deploy_to_cloud(
    provider="aws",
    service_type="ecs",
    region="us-west-2",
    vpc_id="vpc-12345",
    subnets=["subnet-1", "subnet-2"],
    security_groups=["sg-12345"],
    load_balancer={
        "enabled": True,
        "type": "application",
        "public": False
    }
)

Team Collaboration​

Enterprise features for team collaboration and shared memory spaces:

from reeflect.enterprise.collaboration import CollaborationManager

# Initialize collaboration features
collab = CollaborationManager(memory_system)

# Create a team workspace
team_workspace = collab.create_workspace(
    name="Customer Support Team",
    description="Shared knowledge for the customer support team",
    members=[
        {"user_id": "user123", "role": "admin"},
        {"user_id": "user456", "role": "editor"},
        {"user_id": "user789", "role": "reader"}
    ],
    namespaces=["customer_issues", "product_knowledge", "support_scripts"]
)

# Share memories across the team
collab.share_memory(
    memory_id="mem_12345",
    workspace_id=team_workspace.id,
    permissions="read_write"
)

# Create a shared memory
shared_memory_id = memory_system.create(
    content="Our new refund policy takes effect on July 1st, 2025.",
    namespace="product_knowledge",
    importance=0.9,
    metadata={
        "workspace_id": team_workspace.id,
        "shared": True,
        "author_id": "user123"
    }
)

Compliance and Governance​

Enterprise features for compliance and governance:

from reeflect.enterprise.governance import GovernanceManager

# Initialize governance features
governance = GovernanceManager(memory_system)

# Configure data retention policies
governance.set_retention_policy(
    namespace="customer_data",
    retention_period_days=90,
    policy_type="delete",  # Options: delete, archive, anonymize
    exceptions=["legal_hold"]
)

# Configure PII handling
governance.set_pii_policy(
    enabled=True,
    detection_method="automated",  # Options: automated, manual, hybrid
    pii_types=["email", "phone", "address", "ssn", "credit_card"],
    action="mask",  # Options: mask, redact, encrypt
    mask_char="*"
)

# Configure audit logging
governance.configure_audit_logging(
    enabled=True,
    log_level="info",
    include_events=[
        "memory_create", "memory_read", "memory_update", "memory_delete",
        "user_login", "user_logout", "permission_change"
    ],
    destinations=[
        {"type": "cloudwatch", "log_group": "reeflect-audit-logs"},
        {"type": "s3", "bucket": "reeflect-logs", "prefix": "audit/"}
    ]
)

# Generate compliance report
report = governance.generate_compliance_report(
    time_period_days=30,
    format="pdf",
    compliance_standards=["gdpr", "ccpa", "hipaa"],
    include_sections=[
        "data_access", "retention_compliance", "pii_handling", 
        "user_activity", "memory_usage"
    ]
)

Enterprise Features​

High Availability​

Reeflect Enterprise supports high availability configurations to ensure reliability:

# Configure high availability
high_availability_config = {
    "mode": "active_active",  # Options: active_active, active_passive
    "regions": ["us-west-2", "us-east-1", "eu-west-1"],
    "replication": {
        "enabled": True,
        "sync_mode": "eventual",  # Options: eventual, strong
        "conflict_resolution": "timestamp_wins"  # Options: timestamp_wins, manual
    },
    "disaster_recovery": {
        "backup_schedule": "daily",
        "retention_days": 30,
        "auto_restore": True
    }
}

# Apply configuration
deployment.configure_high_availability(high_availability_config)

Single Sign-On (SSO)​

Integrate with your existing identity providers:

# Configure SSO
sso_config = {
    "provider": "okta",  # Options: okta, azure_ad, google, custom
    "client_id": "your_client_id",
    "client_secret": "your_client_secret",
    "metadata_url": "https://your-org.okta.com/.well-known/openid-configuration",
    "attributes_mapping": {
        "email": "email",
        "name": "name",
        "groups": "groups"
    },
    "role_mapping": {
        "Admins": "admin",
        "Editors": "editor",
        "Viewers": "reader"
    }
}

# Apply SSO configuration
security_manager.configure_sso(sso_config)

Enterprise Monitoring​

Set up comprehensive monitoring for your Reeflect deployment:

from reeflect.enterprise.monitoring import MonitoringManager

# Initialize monitoring
monitoring = MonitoringManager(memory_system)

# Configure monitoring
monitoring.configure({
    "metrics": {
        "collection_interval": 60,  # seconds
        "destinations": [
            {"type": "prometheus", "endpoint": "http://prometheus:9090"},
            {"type": "datadog", "api_key": "your_datadog_api_key"}
        ]
    },
    "alerting": {
        "destinations": [
            {"type": "email", "addresses": ["alerts@example.com"]},
            {"type": "slack", "webhook": "https://hooks.slack.com/services/..."},
            {"type": "pagerduty", "routing_key": "your_pagerduty_key"}
        ],
        "rules": [
            {
                "name": "high_error_rate",
                "condition": "error_rate > 0.01 for 5m",
                "severity": "critical"
            },
            {
                "name": "high_latency",
                "condition": "p99_latency > 1000 for 10m",
                "severity": "warning"
            }
        ]
    },
    "logging": {
        "level": "info",
        "retention_days": 30,
        "destinations": [
            {"type": "elasticsearch", "endpoint": "http://elasticsearch:9200"},
            {"type": "s3", "bucket": "reeflect-logs"}
        ]
    }
})

Enterprise Support​

Enterprise customers receive dedicated support, including implementation assistance, security reviews, and custom integrations. Contact the enterprise team at enterprise@reeflect.ai for more information.

Next Steps​

Learn about related topics for enterprise deployments: