Scenario: You are tasked with designing a monitoring solution for a real-time data pipeline handling sensitive financial transactions. What factors would you consider in designing an effective alerting mechanism?

When designing an alerting mechanism for a real-time data pipeline, factors such as throughput, latency, error rates, and data quality are crucial. Monitoring these metrics can help detect anomalies or deviations from expected behavior, enabling timely intervention to ensure the integrity and security of financial transactions. Monitoring disk space, CPU usage, network traffic, and memory usage are important for system health but may not directly impact the real-time processing of financial transactions. Similarly, user interface-related options and non-technical considerations like software updates and compliance, while important, are not directly related to designing an effective alerting mechanism for a data pipeline.