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Integration Guide

This guide provides step-by-step instructions for integrating the components of RTDRS to ensure seamless operation.

1. Integrating Cloudflare Zero Trust

  • Objective: Secure network communications using Cloudflare's Zero Trust framework.
  • Steps:
    1. Configure API keys and account details in configs/cloudflare_config.json.
    2. Test connectivity using the provided Cloudflare utility script: 
      python scripts/test_cloudflare_connection.py
    3. Use Cloudflare's dashboard to monitor and manage Zero Trust tunnels.

2. AI Engine (NVIDIA Triton with OpenCV)

  • Objective: Deploy AI models for real-time threat detection.
  • Steps:
    1. Deploy your trained models (ONNX, TensorFlow) to the NVIDIA Triton model repository.
    2. Update the Triton configuration file in configs/triton_config.json with the model paths.
    3. Test model inference using the script: 
      python scripts/test_triton_inference.py

3. Event-Driven Architecture (RabbitMQ)

  • Objective: Enable real-time data streaming and processing.
  • Steps:
    1. Configure RabbitMQ credentials in configs/rabbitmq_config.json.
    2. Start RabbitMQ using Docker or your local installation: 
      docker run -d --name rabbitmq -p 5672:5672 rabbitmq
    3. Test message publishing and subscription: 
      python scripts/test_rabbitmq.py

4. Database Integration

Time-Series Database (InfluxDB)

  1. Set up a new bucket and API token in the InfluxDB dashboard.
  2. Update the configuration in configs/influxdb_config.json.
  3. Test data insertion: 
    python scripts/test_influxdb.py

Transactional Database (PostgreSQL)

  1. Update the credentials in configs/postgresql_config.json.
  2. Run migrations if necessary using the provided script: 
    python scripts/setup_postgresql.py

5. Decentralized Storage (IPFS)

  • Objective: Store and retrieve immutable data using IPFS.
  • Steps:
    1. Install IPFS and start the daemon: 
      ipfs daemon
    2. Add a file to IPFS: 
      ipfs add <file_path>
    3. Test retrieval: 
      ipfs cat <file_hash>

6. Monitoring and Dashboards

  • Objective: Visualize real-time data and system health.
  • Steps:
    1. Deploy the Grafana dashboard from the dashboard directory.
    2. Configure Grafana to use InfluxDB as a data source.
    3. Access the dashboard via http://localhost:3000.

Validation and Testing

  • Use the scripts/health_check.py script to validate all integrations.
  • For debugging, refer to the logs generated in the logs directory.