Scenario: You are tasked with designing a real-time data processing system for monitoring network traffic. What technologies and architectures would you consider, and how would you address potential scalability challenges?

For designing a real-time data processing system for monitoring network traffic, key technologies like Apache Kafka and Apache Storm are essential for handling high-throughput data streams. Utilizing a microservices architecture allows for scalability and fault isolation. Horizontal scaling using containerization platforms such as Docker and Kubernetes ensures flexibility and resource efficiency. Caching solutions like Redis can enhance performance by storing frequently accessed data.