What can indicate high CPU/traffic impact on Zscaler?

High CPU or traffic impact on Zscaler can be indicated by latency observed at the Zscaler platform. When there is increased latency, it suggests that the processing capabilities of the Zscaler service are being challenged, potentially due to high volume data traffic or resource-intensive processes. This is a direct reflection of how well Zscaler is managing ongoing requests and traffic, and latency can be a symptom of CPU constraints as it struggles to keep up with the demands placed on it.

In the context of network services, latency serves as a critical performance metric. When it increases, it may indicate that the CPU is overloaded, affecting response times and ultimately service quality. Monitoring for latency aids in identifying performance bottlenecks and ensuring that users experience optimal service levels.

Other choices, while relevant to different aspects of Zscaler's functionality, do not directly indicate CPU or traffic impact. Device model compatibility relates to the compatibility of different hardware with Zscaler but does not reflect traffic load or CPU usage. User authentication failures indicate issues with user access rather than system performance. Data encryption levels pertain to security measures rather than the operational efficiency of traffic management. Each of these aspects plays a role in overall system performance but does not directly correlate to high CPU or traffic