Advanced

Multi-Region Deployment

Scale globally with low latency, high availability, and data residency compliance

< 50ms
Global Latency
99.99%
Availability
15+
Regions

Global Architecture

Autonoma's multi-region architecture enables global deployment while maintaining data sovereignty, minimizing latency, and ensuring high availability. Each region operates independently while sharing learned insights across the global network.

Global Presence

Deploy in any AWS, Azure, or GCP region. On-premise nodes can join the global network.

Data Sovereignty

Keep data within regional boundaries to meet compliance requirements like GDPR.

Low Latency

Process data close to your teams for sub-50ms response times globally.

High Availability

Automatic failover between regions ensures continuous operation.

Multi-Region Architecture

Multi-Region Architecture Diagram

Regional Clusters

Independent processing in each region with local data storage

Global Mesh

Secure inter-region communication for model sharing

Edge Caching

CDN integration for static assets and API acceleration

Deployment Strategies

Hub and Spoke Model

Ideal for organizations with a primary region and satellite offices:

Hub Region (Primary)

  • • Full ML processing capabilities
  • • Model training and storage
  • • Central management plane
  • • Master data repository

Spoke Regions

  • • Inference-only nodes
  • • Local caching
  • • Reduced infrastructure
  • • Lower cost
# Hub and spoke configuration
regions:
  us-east-1:  # Hub
    role: primary
    capabilities: [training, inference, management]
    
  eu-west-1:  # Spoke
    role: secondary
    capabilities: [inference]
    upstream: us-east-1
    
  ap-southeast-1:  # Spoke
    role: secondary
    capabilities: [inference]
    upstream: us-east-1

Fully Distributed Model

For maximum availability and performance with no single point of failure:

Each region operates independently with full capabilities and automatic synchronization

# Fully distributed configuration
regions:
  us-east-1:
    role: primary
    capabilities: [training, inference, management]
    peers: [eu-west-1, ap-southeast-1]
    
  eu-west-1:
    role: primary
    capabilities: [training, inference, management]
    peers: [us-east-1, ap-southeast-1]
    
  ap-southeast-1:
    role: primary
    capabilities: [training, inference, management]
    peers: [us-east-1, eu-west-1]
    
sync:
  model_replication: async
  conflict_resolution: vector_clock
  bandwidth_limit: 100mbps

Hybrid Cloud Model

Combine on-premise and cloud regions for flexibility:

On-Premise

  • • Sensitive data processing
  • • Compliance workloads
  • • Legacy system integration

Cloud Regions

  • • Elastic scaling
  • • Global distribution
  • • Cost optimization

Cross-Region Data Management

Data Residency Controls

Configure data residency rules to meet compliance requirements:

# Data residency configuration
data_residency:
  policies:
    - name: gdpr_compliance
      regions: [eu-west-1, eu-central-1]
      data_types: [user_data, code_analysis]
      restrictions:
        - no_transfer_outside_eu
        - encryption_at_rest
        
    - name: us_government
      regions: [us-gov-west-1]
      data_types: [all]
      restrictions:
        - fedramp_compliant
        - us_persons_only
        
  default_policy:
    replication: within_region
    backup: same_geography
    retention: 90_days

Model Synchronization

Share learned insights while maintaining data privacy:

Federated Learning

Models trained locally, only parameters shared globally

Differential Privacy

Add noise to shared data to prevent information leakage

Encrypted Transport

All inter-region communication uses mTLS encryption

Conflict Resolution

Handle conflicts in distributed deployments:

Configuration Conflicts

  • • Version vectors for ordering
  • • Last-write-wins with timestamps
  • • Manual resolution UI

Model Conflicts

  • • Ensemble voting
  • • Performance-based selection
  • • A/B testing resolution

Network Configuration

Inter-Region Connectivity

# Network topology configuration
network:
  mesh:
    type: full  # full, partial, or hub-spoke
    
  connections:
    - regions: [us-east-1, eu-west-1]
      bandwidth: 1000mbps
      latency_target: 100ms
      vpn:
        provider: wireguard
        redundancy: 2
        
    - regions: [us-east-1, ap-southeast-1]
      bandwidth: 500mbps
      latency_target: 200ms
      vpn:
        provider: ipsec
        redundancy: 2
        
  routing:
    strategy: latency_optimized  # or cost_optimized
    failover:
      detection: 5s
      switchover: 10s
      
  security:
    firewall:
      default: deny
      allowed_ports: [8443, 9443]
    encryption:
      protocol: tls1.3
      cipher_suites: [TLS_AES_256_GCM_SHA384]

Global CDN Integration

Accelerate API responses and static content delivery:

150+

Edge Locations

< 10ms

Edge Latency

99.9%

Cache Hit Rate

Global Operations

Unified Dashboard

  • Global health overview
  • Per-region metrics
  • Cross-region latency map
  • Traffic distribution

Disaster Recovery

  • Automatic region failover
  • Cross-region backups
  • RPO < 1 hour
  • RTO < 5 minutes

Operations Commands

# Check global status
autonoma-cli global status --all-regions

# Test inter-region connectivity
autonoma-cli global test-connectivity

# Failover simulation
autonoma-cli global simulate-failover --from us-east-1 --to eu-west-1

# Traffic routing
autonoma-cli global route-traffic --from us-east-1 --to ap-southeast-1 --percentage 25

# Global metrics
autonoma-cli global metrics --window 24h --aggregate

Cost Optimization

Multi-Region Cost Management

Data Transfer

  • • Minimize cross-region transfer
  • • Use regional caching
  • • Compress replication data

Resource Scaling

  • • Auto-scale by region demand
  • • Use spot instances for ML
  • • Schedule training jobs

Storage Tiers

  • • Hot data in SSD
  • • Cold data in object storage
  • • Archive old models

Cost Tip: Use the hub-and-spoke model to reduce infrastructure costs in secondary regions by up to 70% while maintaining global coverage.

Regional Compliance

🇪🇺

Europe (GDPR)

  • Data stays within EU borders
  • Right to erasure support
  • Data portability APIs
  • DPA templates available
🇺🇸

USA (HIPAA/SOC)

  • HIPAA-compliant regions
  • SOC 2 Type II certified
  • FedRAMP ready
  • State privacy law support
🇨🇳

China (PIPL)

  • In-country data storage
  • Local partner operations
  • PIPL compliance tools
  • Cross-border transfer controls
🌏

APAC (Various)

  • Singapore PDPA
  • Australia Privacy Act
  • Japan APPI
  • India data localization

Getting Started with Multi-Region

1

Plan your deployment

Identify regions based on user location, compliance requirements, and latency targets.

2

Deploy primary region

Start with your primary region and validate the deployment before expanding.

3

Add secondary regions

Gradually add regions, testing connectivity and replication at each step.

4

Configure routing

Set up intelligent routing to direct users to the nearest region.

Ready to Go Global?

Our team is here to help you deploy Autonoma worldwide

Talk to Solutions ArchitectOn-Premise Guide