System Architecture & Integration Standards
Comprehensive guidelines for designing, deploying, and maintaining AeroVance aerospace systems. Covers telemetry ingestion, secure ground-to-orbit communication, and edge processing pipelines.
1. System Overview
The AeroVance Platform operates as a hybrid cloud-edge architecture, connecting ground control stations, orbital assets, and satellite payloads through a unified telemetry and command mesh. The system is designed for low-latency data routing, high availability, and strict defense-grade compliance.
The architecture enforces a zero-trust model where every hop requires mutual TLS authentication. Data is encrypted at rest using AES-256-GCM and in transit via TLS 1.3 with forward secrecy. Mission-critical telemetry follows a priority-based routing queue to prevent packet loss during high-congestion downlink windows.
2. Integration Patterns
External systems and third-party payloads integrate with AeroVance via standardized REST/gRPC endpoints and MQTT telemetry brokers. All integrations must adhere to the following patterns:
2.1 REST API Gateway
Stateless, versioned endpoints for mission planning, payload configuration, and metadata retrieval. Rate-limited to 1000 req/min per API key.
curl -X GET "https://api.aeravance.com/v3/missions/mv-2025-08/payloads" \ -H "Authorization: Bearer $AEROVANCE_API_KEY" \ -H "Content-Type: application/json" \ -H "X-Request-ID: req_8f3a9c2d"
2.2 gRPC Telemetry Streaming
High-frequency sensor data (IMU, thruster pressure, star tracker) streams via gRPC bi-directional channels. Protobuf schemas are version-controlled in the `proto/` repository.
syntax = "proto3"; package aero.telemetry.v1; message SensorReading { int64 timestamp_ns = 1; string sensor_id = 2; double value = 3; string unit = 4; bool calibrated = 5; }
2.3 MQTT for Low-Power Payloads
Smaller cubesats and secondary payloads use MQTT over TLS for command-and-control. Topics follow the hierarchy: `aero/{mission}/cmd/{type}` and `aero/{mission}/telem/{stream}`.
3. Security & Compliance
AeroVance systems operate under strict defense and aerospace regulatory frameworks. All architectural components must satisfy the following baseline:
| Standard | Scope | Implementation Requirement |
|---|---|---|
| ITAR/EAR | Export Control | Data residency in US/Australia/Japan VPCs only. No cross-border replication without CCL approval. |
| AS9100D | Quality Management | All CI/CD pipelines require signed artifact manifests and traceable change logs. |
| Zero Trust | Network Security | mTLS between all services. Short-lived JWTs with hardware-bound signing keys. |
| FIPS 140-2 | Cryptography | Only approved algorithms (AES-256, RSA-2048+, ECDSA P-256). No custom crypto primitives. |
3.1 Authentication Flow
Service-to-service authentication uses short-lived certificates issued by the internal PKI. Human operators authenticate via SSO + hardware M2FA. All privileged actions require multi-person authorization (MPA) with audit trails retained for 7 years.
4. Telemetry Data Pipeline
The telemetry ingestion pipeline processes millions of data points per second during active downlink windows. It consists of four primary stages:
- Ingestion: Raw UDP/TCP streams captured at ground station edge nodes. Deduplication and sequence validation applied.
- Normalization: Protobuf/JSON conversion, unit standardization (SI), and timestamp synchronization to UTC(LEAP).
- Processing: Real-time anomaly detection via ML models (isolation forests, threshold guards). Routing to hot/cold storage.
- Persistence: Time-series database (hot), Parquet partitioned S3 (warm), and cold archival tape systems for long-term mission records.
import aerovance_telemetry as avt # Initialize secure connection with mTLS client = avt.Client( region="us-east-1-gov", auth="hardware_token://env/AEROVANCE_CERT_PATH" ) async def process_stream(): async for frame in client.subscribe("mission-orion-7/raw"): if frame.anomaly_score > 0.85: await client.trigger_alert("THRUSTER_PRESSURE_SPIKE", frame) await client.pause_ingestion(frame.sequence_id) if __name__ == "__main__": avt.run(process_stream())
5. Edge & Deployment Architecture
Ground control and satellite payloads utilize a GitOps-driven deployment model. Manifests are stored in private repositories and applied via sealed secrets and policy-as-code validation.
5.1 Ground Station Deployment
On-prem Kubernetes clusters run hardened OS images with kernel hardening, SELinux enforcement, and eBPF-based runtime security. Deployments are rolled out canary-first with automatic rollback on health check failure.
5.2 Payload Updates (Space-Grade)
Satellite software updates follow a strict A/B partitioning model. Updates are delta-compressed, signed with Ed25519, and verified against a public key pinned in the bootloader. Rollback requires dual confirmation from mission control and safety officer.
avctl payload update \ --mission orion-7 \ --payload comms-array-v3 \ --manifest ./releases/2.4.1/payload.yaml \ --signing-key hw:///certs/mission-control \ --dry-run # Validate before ground uplink