Duragraph Cloud

Duragraph Cloud provides a fully-managed, enterprise-ready orchestration platform with all the power of self-hosted Duragraph plus managed infrastructure, team collaboration, and enterprise security.

Availability

Status: Coming Soon (Q2 2024) Early Access: Join the waitlist Features: All self-hosted features + managed infrastructure

Why Duragraph Cloud?

🚀 Zero Infrastructure Management

Fully managed Temporal clusters
Auto-scaling workers and API servers
Managed PostgreSQL with automated backups
99.9% uptime SLA

👥 Team Collaboration

Multi-user workspaces
Role-based access control (RBAC)
Shared workflows and assistants
Team activity dashboards

🔒 Enterprise Security

SOC 2 Type II compliance
End-to-end encryption
VPC peering and private networking
Audit logs and compliance reporting

📊 Advanced Observability

Real-time performance analytics
Custom metrics and alerting
Distributed tracing
Cost optimization insights

Getting Started

# Join the waitlist (available Q2 2024)
curl -X POST https://api.duragraph.ai/waitlist \
  -H "Content-Type: application/json" \
  -d '{"email": "you@company.com", "company": "Your Company"}'

Or visit: https://duragraph.ai/cloud/signup

2. Create Your First Workspace

# Install Duragraph CLI
npm install -g @duragraph/cli

# Login to Duragraph Cloud
duragraph auth login

# Create workspace
duragraph workspace create "My Company Workspace"

# Set as default
duragraph workspace use "My Company Workspace"

3. Deploy Your First Workflow

from duragraph import DuragraphClient

# Connect to Duragraph Cloud
client = DuragraphClient(
    base_url="https://api.duragraph.ai",
    api_key="dg_live_...",  # From dashboard
    workspace_id="ws_..."
)

# Create and run workflow
workflow = client.create_workflow({
    "name": "Customer Support Agent",
    "steps": [
        {
            "type": "llm_call",
            "model": "gpt-4",
            "messages": [
                {"role": "system", "content": "You are a helpful customer support agent."},
                {"role": "user", "content": "{customer_query}"}
            ]
        }
    ]
})

# Execute
run = client.create_run(
    workflow_id=workflow.id,
    inputs={"customer_query": "How do I reset my password?"}
)

print(f"Run started: {run.id}")

Features

Managed Infrastructure

Auto-scaling Workers

Python, Go, and TypeScript workers
Automatic scaling based on queue depth
Resource optimization and cost control

Managed Temporal

High-availability Temporal clusters
Automatic upgrades and maintenance
Custom namespace isolation

Database Management

Managed PostgreSQL with automated backups
Point-in-time recovery
Read replicas for high-query workloads

Team Management

Workspaces

Isolated environments for teams/projects
Resource quotas and billing controls
Cross-workspace collaboration

Role-Based Access Control

# Add team member
duragraph team add user@company.com --role=developer

# Create custom role
duragraph role create "workflow-admin" \
  --permissions="workflows:create,workflows:read,workflows:update"

# Assign role to user
duragraph user assign user@company.com --role="workflow-admin"

Permissions Model

workspace:admin - Full workspace control
workflow:developer - Create/edit workflows
workflow:viewer - Read-only access
runtime:operator - Manage runs and executions

Enterprise Security

Authentication

SSO with SAML/OIDC
Multi-factor authentication (MFA)
API key management

Network Security

VPC peering for private connectivity
IP allowlisting
mTLS for service-to-service communication

Data Protection

Encryption at rest (AES-256)
Encryption in transit (TLS 1.3)
Key management via AWS KMS/Azure Key Vault

Advanced Observability

Real-time Dashboards

Workflow execution metrics
Resource utilization tracking
Error rates and latency monitoring

Custom Alerting

# duragraph-alerts.yml
alerts:
  - name: "High Error Rate"
    condition: "error_rate > 5%"
    channels: ["slack", "pagerduty"]

  - name: "Long Running Workflow"
    condition: "workflow_duration > 30m"
    channels: ["email"]

Distributed Tracing

OpenTelemetry integration
Cross-service trace correlation
Performance bottleneck identification

Pricing

Developer Plan - Free

1 workspace
10,000 workflow executions/month
Community support
Basic observability

Team Plan - $99/month

5 workspaces
100,000 executions/month
Team collaboration features
Email support
Advanced observability

Enterprise Plan - Custom

Unlimited workspaces
Custom execution limits
SSO and advanced security
24/7 support with SLA
Dedicated infrastructure options

Migration from Self-Hosted

Export from Self-Hosted

# Export workflows
duragraph export workflows --output=workflows.json

# Export assistants
duragraph export assistants --output=assistants.json

# Export historical runs (optional)
duragraph export runs --date-range="2024-01-01,2024-03-01"

Import to Cloud

# Login to cloud
duragraph auth login --cloud

# Import workflows
duragraph import workflows workflows.json

# Import assistants
duragraph import assistants assistants.json

# Verify migration
duragraph workflow list

Gradual Migration

# Use feature flags for gradual migration
import os

if os.getenv("USE_DURAGRAPH_CLOUD") == "true":
    client = DuragraphClient(
        base_url="https://api.duragraph.ai",
        api_key=os.getenv("DURAGRAPH_CLOUD_API_KEY")
    )
else:
    client = DuragraphClient(
        base_url="http://localhost:8080"
    )