Deployment Options

ARC7 provides comprehensive deployment flexibility to meet diverse organizational requirements, from cloud-native startups to enterprise environments with complex compliance needs. Each deployment option maintains full platform capabilities while adapting to specific infrastructure and security requirements.

Cloud Deployment

Multi-Cloud Excellence Native support for AWS, Azure, Google Cloud Platform, and other major cloud providers enables organizations to leverage their preferred cloud infrastructure or implement multi-cloud strategies for resilience and optimization.

Managed Service Integration Deep integration with cloud-native services including managed databases, serverless computing, container orchestration, and auto-scaling infrastructure reduces operational overhead while maximizing performance.

Global Distribution Deployment across multiple regions provides low-latency access for global teams while meeting data residency requirements and providing disaster recovery capabilities.

Hybrid Cloud Solutions

Seamless Hybrid Integration Sophisticated hybrid deployment options enable organizations to maintain sensitive workloads on-premises while leveraging cloud capabilities for scaling and advanced features.

Data Sovereignty Hybrid deployments respect data sovereignty requirements by keeping sensitive data within specified geographic boundaries while enabling global collaboration and optimization.

Gradual Migration Support for gradual cloud migration enables organizations to move workloads to the cloud at their own pace while maintaining operational continuity.

Comprehensive Deployment Architecture

# ARC7 Deployment Configuration Templates
apiVersion: deployment.arc7.ai/v1
kind: DeploymentConfiguration
metadata:
  name: enterprise-deployment
  namespace: arc7-system
spec:
  deployment_strategy: "hybrid_cloud"
  
  cloud_configuration:
    primary_cloud:
      provider: "aws"
      regions: ["us-east-1", "eu-west-1", "ap-southeast-1"]
      availability_zones: "multi_az"
      
      compute:
        instance_types: ["m5.large", "m5.xlarge", "c5.2xlarge"]
        auto_scaling: true
        min_instances: 3
        max_instances: 50
        
      storage:
        primary: "ebs_gp3"
        backup: "s3_intelligent_tiering"
        encryption: "aes_256"
        
      networking:
        vpc_configuration: "custom"
        private_subnets: true
        nat_gateways: true
        load_balancers: "application_load_balancer"
        
    secondary_cloud:
      provider: "azure"
      regions: ["eastus", "westeurope"]
      disaster_recovery: true
      
  on_premises_configuration:
    enabled: true
    data_classification: ["confidential", "restricted"]
    
    compute_resources:
      kubernetes_cluster: true
      node_count: 6
      node_specs:
        cpu: "16_cores"
        memory: "64GB"
        storage: "1TB_SSD"
        
    network_configuration:
      private_network: true
      vpn_connectivity: true
      dedicated_connections: ["aws_direct_connect"]
      
    storage_configuration:
      primary: "distributed_storage"
      backup: "tape_backup"
      encryption: "hardware_hsm"
      
  security_configuration:
    encryption:
      at_rest: "required"
      in_transit: "tls_1_3"
      key_management: "hsm_backed"
      
    access_control:
      authentication: ["oauth2", "saml", "certificate"]
      mfa_required: true
      rbac_enabled: true
      
    network_security:
      firewalls: "next_generation"
      intrusion_detection: "enabled"
      ddos_protection: "enabled"
      
  compliance_configuration:
    frameworks: ["soc2_type2", "iso27001", "gdpr", "hipaa"]
    audit_logging: "comprehensive"
    data_retention: "policy_based"
    
  high_availability:
    target_uptime: "99.99%"
    failover: "automatic"
    backup_frequency: "continuous"
    disaster_recovery_rto: "4_hours"
    disaster_recovery_rpo: "15_minutes"
    
  monitoring_configuration:
    metrics_collection: "comprehensive"
    log_aggregation: "centralized"
    alerting: "multi_channel"
    dashboard: "real_time"
    
  agent_deployment:
    distribution_strategy: "intelligent"
    
    nexus:
      deployment: "cloud_primary"
      replicas: 5
      resource_allocation: "high"
      
    sentinel:
      deployment: "cloud_primary"
      replicas: 3
      resource_allocation: "medium"
      
    aegis:
      deployment: "hybrid" 
      cloud_replicas: 2
      on_premises_replicas: 2
      resource_allocation: "high"
      
    oracle:
      deployment: "cloud_multi_region"
      replicas: 4
      resource_allocation: "high"
      
    weaver:
      deployment: "hybrid"
      primary_location: "on_premises"
      backup_location: "cloud"
      
    scribe:
      deployment: "cloud_primary"
      replicas: 2
      resource_allocation: "medium"
      
    herald:
      deployment: "cloud_distributed"
      global_distribution: true
      
    prism:
      deployment: "cloud_primary"
      replicas: 2
      resource_allocation: "medium"
      
    polyglot:
      deployment: "cloud_primary"
      replicas: 3
      resource_allocation: "medium"

---
# Cloud-Native Deployment Template
apiVersion: deployment.arc.ai/v1
kind: DeploymentConfiguration
metadata:
  name: cloud-native-deployment
spec:
  deployment_strategy: "cloud_native"
  
  cloud_configuration:
    provider: "aws"
    regions: ["us-west-2", "us-east-1"]
    
    container_orchestration:
      platform: "eks"
      cluster_version: "1.28"
      node_groups:
        - name: "general_purpose"
          instance_type: "m5.large"
          min_size: 3
          max_size: 20
          
        - name: "compute_optimized"
          instance_type: "c5.xlarge"
          min_size: 1
          max_size: 10
          
    serverless_integration:
      lambda_functions: true
      fargate_tasks: true
      
    managed_services:
      database: "rds_postgresql"
      cache: "elasticache_redis"
      search: "opensearch"
      messaging: "sqs_sns"
      
  auto_scaling:
    horizontal_pod_autoscaler: true
    vertical_pod_autoscaler: true
    cluster_autoscaler: true
    
  cost_optimization:
    spot_instances: true
    reserved_capacity: true
    right_sizing: "automatic"
    
  observability:
    metrics: "cloudwatch_prometheus"
    logging: "cloudwatch_logs"
    tracing: "aws_x_ray"
    
---
# On-Premises Deployment Template  
apiVersion: deployment.arc7.ai/v1
kind: DeploymentConfiguration
metadata:
  name: on-premises-deployment
spec:
  deployment_strategy: "on_premises"
  
  infrastructure:
    compute_platform: "kubernetes"
    cluster_configuration:
      master_nodes: 3
      worker_nodes: 12
      
    hardware_requirements:
      cpu_cores_total: 192
      memory_total: "768GB"
      storage_total: "24TB"
      network_bandwidth: "10Gbps"
      
    storage_configuration:
      primary: "ceph_cluster"
      backup: "network_attached_storage"
      archival: "tape_library"
      
  security_hardening:
    network_segmentation: "micro_segmentation"
    endpoint_protection: "enterprise_grade"
    vulnerability_scanning: "continuous"
    
  compliance_controls:
    air_gapped_environment: true
    data_encryption: "hardware_hsm"
    audit_logging: "tamper_proof"
    
  backup_disaster_recovery:
    backup_strategy: "3_2_1_rule"
    disaster_recovery_site: "secondary_datacenter"
    recovery_testing: "quarterly"

On-Premises Deployment

Complete On-Premises Control Full on-premises deployment options provide organizations with complete control over their infrastructure while maintaining all ARC7 capabilities and features.

Air-Gapped Environments Support for air-gapped deployments ensures that organizations with strict security requirements can benefit from ARC7 capabilities without external connectivity.

Hardware Optimization On-premises deployments are optimized for specific hardware configurations and can leverage existing infrastructure investments while providing upgrade paths.

Container and Kubernetes Support

Cloud-Native Architecture Native support for container deployment using Docker and Kubernetes enables modern, scalable deployments that align with cloud-native best practices.

Microservices Architecture Each ARC7 component can be deployed as independent microservices, enabling fine-grained scaling and resource optimization.

Service Mesh Integration Integration with service mesh technologies including Istio and Linkerd provides advanced networking, security, and observability capabilities.

Edge Computing Deployment

Edge Node Support Deployment options for edge computing scenarios enable ARC7 capabilities closer to development teams and reduce latency for distributed organizations.

Offline Capabilities Edge deployments include offline capabilities that enable continued operation during network disruptions while synchronizing when connectivity is restored.

Resource Optimization Edge deployments are optimized for resource-constrained environments while maintaining core functionality and intelligent capabilities.

Disaster Recovery and Business Continuity

Automated Backup Systems Comprehensive backup systems ensure that all configuration data, learning models, and operational history are protected and recoverable.

Multi-Region Failover Automatic failover capabilities ensure business continuity during outages or disasters with minimal downtime and data loss.

Recovery Testing Regular disaster recovery testing ensures that recovery procedures work correctly when needed, with automated testing and validation.

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