Which metrics are essential to gather during a Cloud Path Probe analysis?

In the context of a Cloud Path Probe analysis, focusing on latency and hop performance is crucial for assessing the end-to-end performance of the data path between users and cloud resources. Latency refers to the time taken for data to travel from the source to the destination, which directly affects the user experience. High latency can lead to delays that impact productivity, particularly in real-time applications like voice and video.

Hop performance is equally important as it measures the performance at each network segment or node that data passes through. Understanding how each hop performs helps identify where bottlenecks may occur and allows for troubleshooting. Analyzing these metrics enables organizations to optimize their cloud connectivity.

Application download speeds, network congestion levels, and user access times, while relevant to overall network performance, do not specifically focus on the nuanced performance metrics that a Cloud Path Probe is designed to measure. These elements may provide some insight but do not offer the detailed analysis needed for pinpointing issues related to data flow in cloud environments. Thus, latency and hop performance are the key metrics that must be gathered for a thorough analysis.