Architecture
System Architecture
Null Autos is built on a multi-tier architecture designed for scalability, reliability, and performance.
High-Level Architecture
┌─────────────────────────────────────────────────────────┐
│ Client Layer │
│ Web Console │ API Clients │ CI/CD Tools │ SDK │
└────────────────────┬────────────────────────────────────┘
│
┌────────────────────▼────────────────────────────────────┐
│ API Gateway Layer │
│ Authentication │ Rate Limiting │ Load Balancing │
└────────────────────┬────────────────────────────────────┘
│
┌────────────────────▼────────────────────────────────────┐
│ Control Plane (Ctrl) │
│ Device Orchestration │ Scheduling │ Resource Mgmt │
└────────────────────┬────────────────────────────────────┘
│
┌────────────────────▼────────────────────────────────────┐
│ Compute Layer │
│ Virtual Device Clusters │ Emulator Instances │
└──────────────────────────────────────────────────────────┘
Components
API Gateway
- RESTful API endpoints
- WebSocket connections for real-time events
- Authentication and authorization
- Request validation and rate limiting
- TLS termination
Control Plane (Ctrl)
The Ctrl platform is the brain of Null Autos, responsible for:
- Device Lifecycle Management: Create, start, stop, delete virtual devices
- Resource Scheduling: Intelligent placement of devices across compute nodes
- Health Monitoring: Continuous health checks and auto-recovery
- Metrics Collection: Performance and usage metrics
- Event Streaming: Real-time events for device state changes
Compute Clusters
- Kubernetes-based Orchestration: Containerized emulator instances
- Hardware Acceleration: KVM with GPU passthrough support
- Auto-scaling: Dynamic scaling based on demand
- Resource Isolation: CPU, memory, and network isolation per device
Storage Layer
- Block Storage: High-performance SSD for device storage
- Object Storage: Long-term storage for logs, recordings, and artifacts
- Database: Metadata and state management
Networking
- VPC Isolation: Per-customer network isolation
- Load Balancing: Traffic distribution across instances
- CDN: Static asset delivery
- VPN Support: Private connectivity options
Data Flow
Device Creation Flow
- Client submits device creation request via API
- API Gateway authenticates and validates request
- Ctrl schedules device on available compute node
- Compute node provisions emulator instance
- Device boots and registers with Ctrl
- Client receives device connection details
Device Interaction Flow
- Client connects to device via WebSocket or ADB
- Commands are routed through Ctrl
- Ctrl forwards to appropriate compute node
- Device executes command and returns response
- Response is streamed back to client
Scalability
Horizontal Scaling
- Stateless API: API servers can scale horizontally
- Distributed Ctrl: Multiple Ctrl instances with leader election
- Compute Expansion: Add nodes on demand
Vertical Scaling
- Resource Limits: Per-device CPU and memory limits
- Overcommit Ratios: Intelligent resource overcommit
- Burst Capacity: Temporary performance boosts
High Availability
Redundancy
- Multi-AZ Deployment: Spread across availability zones
- Database Replication: Multi-region database replication
- Stateless Design: No single point of failure
Disaster Recovery
- Automated Backups: Regular snapshots of critical data
- Failover Mechanisms: Automatic failover on component failure
- Data Replication: Cross-region data replication
Security Architecture
Network Security
- Firewall Rules: Strict ingress/egress controls
- DDoS Protection: Built-in DDoS mitigation
- Encryption: TLS 1.3 for all traffic
Compute Security
- Isolated VMs: Each device runs in isolated VM
- Secure Boot: Verified boot process
- Security Updates: Automated patching
Data Security
- Encryption at Rest: All data encrypted on disk
- Encryption in Transit: TLS for all network traffic
- Key Management: Hardware security modules (HSM)
Monitoring & Observability
Metrics
- System metrics (CPU, memory, network, disk)
- Application metrics (API latency, error rates)
- Business metrics (device count, utilization)
Logging
- Centralized log aggregation
- Structured logging format
- Long-term log retention
Tracing
- Distributed tracing for request flows
- Performance profiling
- Bottleneck identification