In-VPC Deployments
In-VPC (Virtual Private Cloud) deployments allow you to run DeepIntShield entirely within your private cloud infrastructure, providing maximum security, compliance, and control over your AI gateway deployment.
Supported Cloud Providers
Section titled “Supported Cloud Providers”DeepIntShield supports INVPC deployments across all major cloud providers:
Google Cloud Platform
Amazon Web Services
Microsoft Azure
Cloudflare
Vercel
Architecture Benefits
Section titled “Architecture Benefits”Security & Compliance
Section titled “Security & Compliance”- Network Isolation: Complete isolation within your VPC with no external network dependencies
- Data Sovereignty: All data processing occurs within your controlled environment
- Compliance Ready: Meets requirements for HIPAA, SOC2, GDPR, and other regulatory frameworks
- Zero Trust Architecture: Implements principle of least privilege with granular access controls
Performance & Reliability
Section titled “Performance & Reliability”- Low Latency: Direct communication between services within your network
- High Availability: Multi-zone deployment with automatic failover capabilities
- Guaranteed Uptime: 99.95% SLA with comprehensive monitoring and alerting
Control & Customization
Section titled “Control & Customization”- Custom Networking: Configure subnets, routing, and security groups to your specifications
- Resource Management: Full control over compute, storage, and network resources
- Scaling Policies: Define auto-scaling rules based on your usage patterns
Service Level Agreement
Section titled “Service Level Agreement”Availability Commitment
Section titled “Availability Commitment”- Uptime Guarantee: 99.95% monthly uptime for all core components
- Downtime Calculation:
(Total Minutes - Downtime Minutes) / Total Minutes × 100 - Partial Downtime: Reduced functionality counted as 50% downtime
Core Components Covered
Section titled “Core Components Covered”The following components are monitored for SLA compliance:
- Gateway instance
- Log ingestion pipeline
Exclusions
Section titled “Exclusions”SLA excludes downtime due to:
- Scheduled maintenance (14-day advance notice)
- Downstream provider incidents
- Client hardware/software/network issues
- Third-party AI provider outages
- Client misuse or unauthorized modifications
Support & Maintenance
Section titled “Support & Maintenance”Technical Support
Section titled “Technical Support”- 24/7 Critical Support: Available for core component issues
- Multiple Channels: Platform, email (contact@getmaxim.ai), or Slack Connect
- Audit Trail: Detailed logs for any data access during troubleshooting
Maintenance Windows
Section titled “Maintenance Windows”- Scheduled Maintenance: 14-day advance notice for major updates
- Security Patches: Immediate or 14-day delayed application (your choice)
- Continuous Updates: Regular feature improvements with 7-day advance notice
Getting Started
Section titled “Getting Started”Prerequisites
Section titled “Prerequisites”- VPC with appropriate CIDR ranges
- Kubernetes cluster (GKE, EKS, or AKS)
- Container registry access
- DNS configuration for internal routing
Deployment Process
Section titled “Deployment Process”- Infrastructure Setup: Configure VPC, subnets, and security groups
- Cluster Preparation: Set up Kubernetes cluster with required permissions
- DeepIntShield Installation: Deploy using provided Helm charts or manifests
- Configuration: Apply your specific settings and integrations
- Validation: Run connectivity and performance tests
- Go Live: Begin routing production traffic
Cost Optimization
Section titled “Cost Optimization”Resource Sizing
Section titled “Resource Sizing”- Development: 2 vCPU, 4GB RAM minimum
- Production: 4+ vCPU, 8GB+ RAM recommended
- High Availability: Multi-zone deployment with load balancing
Scaling Strategies
Section titled “Scaling Strategies”- Horizontal Pod Autoscaling: Based on CPU/memory utilization
- Vertical Pod Autoscaling: Automatic resource adjustment
- Cluster Autoscaling: Node pool expansion/contraction