---
title: "In-VPC Deployments"
description: "Deploy Bifrost within your private cloud infrastructure with VPC isolation, custom networking, and enhanced security controls for enterprise environments."
icon: "cloud"
---

In-VPC (Virtual Private Cloud) deployments allow you to run Bifrost entirely within your private cloud infrastructure, providing maximum security, compliance, and control over your AI gateway deployment.

## Supported Cloud Providers

Bifrost supports INVPC deployments across all major cloud providers:

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    <span>Google Cloud Platform</span>
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    <span>Amazon Web Services</span>
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    <span>Microsoft Azure</span>
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    <span>Cloudflare</span>
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    <span>Vercel</span>
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## Architecture Benefits

### 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
- **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
- **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

### 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
The following components are monitored for SLA compliance:
- Gateway instance
- Log ingestion pipeline

### 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

### 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
- **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

### Prerequisites
- VPC with appropriate CIDR ranges
- Kubernetes cluster (GKE, EKS, or AKS)
- Container registry access
- DNS configuration for internal routing

### Deployment Process
1. **Infrastructure Setup**: Configure VPC, subnets, and security groups
2. **Cluster Preparation**: Set up Kubernetes cluster with required permissions
3. **Bifrost Installation**: Deploy using provided Helm charts or manifests
4. **Configuration**: Apply your specific settings and integrations
5. **Validation**: Run connectivity and performance tests
6. **Go Live**: Begin routing production traffic


## Cost Optimization

### Resource Sizing
- **Development**: 2 vCPU, 4GB RAM minimum
- **Production**: 4+ vCPU, 8GB+ RAM recommended
- **High Availability**: Multi-zone deployment with load balancing

### Scaling Strategies
- **Horizontal Pod Autoscaling**: Based on CPU/memory utilization
- **Vertical Pod Autoscaling**: Automatic resource adjustment
- **Cluster Autoscaling**: Node pool expansion/contraction