Implement event-driven architecture with RabbitMQ and Kafka #62
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Implement Kafka integration and enhance RealTimeMonitoring module. **Kafka Integration:** * Add functions `setup_kafka`, `send_message_to_kafka`, and `receive_message_from_kafka` in `chatbot/app.py`, `chatbot/chatbot.py`, `app.py`, and `dashboard/dashboard.py`. * Update initialization blocks in `chatbot/app.py`, `app.py`, and `dashboard/dashboard.py` to include Kafka setup and message handling. **RealTimeMonitoring Enhancements:** * Add machine learning model integration for anomaly detection in `modules/real_time_monitoring.py`. * Implement dynamic alert threshold adjustment based on system load. * Utilize asynchronous processing using `asyncio` and `aiohttp`. * Implement resource management techniques to optimize memory usage. * Add functions for monitoring exfiltration and network traffic, optimizing performance, and updating exfiltration techniques based on analyzed threats. --- For more details, open the [Copilot Workspace session](https://copilot-workspace.githubnext.com/ProjectZeroDays/Project-Red-Sword?shareId=XXXX-XXXX-XXXX-XXXX).
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Implement Kafka integration and enhance RealTimeMonitoring module.
Kafka Integration:
setup_kafka,send_message_to_kafka, andreceive_message_from_kafkainchatbot/app.py,chatbot/chatbot.py,app.py, anddashboard/dashboard.py.chatbot/app.py,app.py, anddashboard/dashboard.pyto include Kafka setup and message handling.RealTimeMonitoring Enhancements:
modules/real_time_monitoring.py.asyncioandaiohttp.For more details, open the Copilot Workspace session.