Enterprise Topology

NOTE

A static Mermaid.js diagram is provided below. For those who want to see dynamic animations, please check the Animated Architecture section.

This diagram illustrates how 'gravitational telemetry data' is ingested from an edge device, passes through a containerized gateway, a message broker, and an in-memory cache layer before reaching an ultra-fast compute node.

Architecture Diagram

graph TD
    %% Styling
    classDef edge fill:#f9f,stroke:#333,stroke-width:2px;
    classDef gateway fill:#bbf,stroke:#333,stroke-width:2px;
    classDef broker fill:#fbb,stroke:#333,stroke-width:2px;
    classDef cache fill:#bfb,stroke:#333,stroke-width:2px;
    classDef compute fill:#fbf,stroke:#333,stroke-width:2px;
    classDef db fill:#ffb,stroke:#333,stroke-width:2px;

    %% Components
    E[Edge Devices<br/>IoT / Mobile]:::edge --> |Telemetry Data Streams| G[API Gateway<br/>Containerized / Nginx]:::gateway
    
    subgraph Data Ingestion Layer
        G --> |Load Balanced| K1[Kafka Broker 1]:::broker
        G --> |Load Balanced| K2[Kafka Broker 2]:::broker
        K1 & K2 --> |Topic: telemetry_events| K_Cluster((Kafka Cluster)):::broker
    end

    subgraph Processing & Caching
        K_Cluster --> |Consumes Streams| R[Rust/Go Microservices]:::compute
        R --> |Read/Write Hot Data| Redis[(Redis Cache<br/>In-Memory)]:::cache
    end

    subgraph Storage & Quantum State Tracking
        R --> |Persists State| PG[(PostgreSQL<br/>Relational DB)]:::db
    end
    
    %% Details
    click PG "adrs/0001_postgresql_for_quantum_state_tracking.md" "Why PostgreSQL?"
    click R "adrs/0002_rust_and_go_for_real_time_data_streams.md" "Why Rust/Go?"

Diagram Explanation

1. Edge Devices: Generates thousands of telemetry data points (e.g., gravitational sensor data) per second.
2. API Gateway: A containerized layer that receives the initial data and handles load balancing.
3. Kafka Broker: Chosen for its ability to handle massive data volumes. It routes data to processing services in real-time without any packet loss.
4. Rust/Go Microservices: These are ultra-fast compute nodes that consume data streams from Kafka.
5. Redis: An in-memory cache utilized for ultra-fast memory access needs during data processing (e.g., sessions or transient states).
6. PostgreSQL: Used as the primary database for persistent storage and executing complex relational queries (like quantum state tracking).

Animated Architecture

TIP

Placeholder: Our futuristic animated diagram (e.g., an Isometric .gif created via Figma/After Effects) will be added here.

This image will visually demonstrate the live flow of data from one node to another using animations.