Which metrics are essential to monitor in an integration solution?

Monitoring an integration solution involves focusing on metrics that directly impact its performance and reliability. Latency, throughput, and error rates are vital metrics in this context for several reasons.

Latency indicates the time taken for data to travel from one point to another within the integration solution. High latency can lead to delays in processing and can affect the overall user experience. Throughput measures the amount of data processed in a given time frame, which helps assess whether the integration can handle the volume of data required by the business. Finally, error rates track the frequency of errors occurring during data transmission or processing, which is critical for identifying issues in the integration flow and ensuring data integrity.

These metrics together provide a comprehensive view of how well the integration solution is functioning, allowing for proactive management and optimization. In contrast, the other options, while potentially relevant in broader system monitoring, do not directly address the specific performance and reliability aspects that are critical to successful integration.