System Architecture

System Architecture

Our misinformation mitigation system employs a scalable architecture designed to handle high loads while maintaining performance and security.

Architecture Diagram

graph TD
    A[Frontend/Browser Extension] -->|RESTful API| B[FastAPI Backend]
    B --> C[LLM - Llama 3.1 70B]
    B --> D[Google Web Search API]
    B --> E[(Cloud SQL PostgreSQL)]
    F[Google Kubernetes Engine] -->|Orchestration| B
    F -->|Orchestration| C
    F -->|Orchestration| D
    G[Google Cloud Platform] -->|Hosts| F
    G -->|Hosts| E
    H[Memorystore for Redis] -->|Fast Data Access| B
    I[Cloud Load Balancing] -->|Load Distribution| B
    J[Secret Manager] -->|Secrets Management| B
    K[Certificate Manager] -->|SSL/TLS| I
    L[Auth0] -->|Authentication| B
    M[Cloud CDN] -->|Static Assets| A

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Component Details

1. Frontend/Browser Extension: User interface.
2. FastAPI Backend: Python framework for building APIs.
3. LLM - Llama 3.1 70B: Large language model.
4. Google Web Search API: Google's search service for real-time information retrieval.
5. Cloud SQL PostgreSQL: Fully managed relational database service for storing system data.
6. Google Kubernetes Engine: Managed Kubernetes service for container orchestration.
7. Memorystore for Redis: Fully managed in-memory data store service.
8. Cloud Load Balancing: Scalable load distribution of incoming traffic.
9. Secret Manager: Secure and convenient storage for API keys, passwords, certificates, and other sensitive data.
10. Certificate Manager: Automatic provisioning and management of SSL/TLS certificates.
11. Auth0: Authentication and user management service.
12. Cloud CDN: Content delivery network for serving static assets with low latency.

For more details on how these components interact, please refer to the System Design Document.