> ## Documentation Index
> Fetch the complete documentation index at: https://docs.trusys.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# Track (Dashboard)

This document provides a comprehensive overview of TRU PULSE, a core component of the Trusys AI Assurance Platform. It focuses on monitoring and managing your AI applications in production, covering monitoring settings, dashboards, traces, and alerts.

The **Track** section allows you to analyze the historical performance and behavior of your monitored applications. Select the application you want to track and the desired date range for analysis.

1. **Application Health Dashboard** – This dashboard provides a high-level overview of your application’s operational health:
   * **Total Logs Collected** – The total volume of logs ingested by Trusys for the selected period.
   * **Avg Request Duration** – The average time taken for your application to process requests.
   * **Avg Token/Request** – The average number of tokens processed per request (relevant for LLM-based applications).
   * **Avg Cost/Request** – The average cost incurred per request, helping you manage operational expenses.
   * **Log Request Per Time Series** – A visualization of the volume of log requests over time, identifying peak usage or periods of inactivity.

2. **Security Dashboard** – This dashboard focuses on the security posture of your application:
   * **Total Logs Evaluated** – The number of logs that have undergone security evaluation.
   * **Total Security Probes Generated** – The total number of security tests or probes created, which is a factor of the categories monitored and the logs evaluated.
   * **Vulnerabilities Detected** – The count of identified security vulnerabilities.
   * **Percentage of Security Probes that Failed** – The proportion of security tests that revealed a vulnerability.
   * **Vulnerability-wise Analysis** – A detailed breakdown of vulnerabilities by type, including total probes, pass count, fail count, and severity type.

3. **Functional Dashboard** – This dashboard provides insights into the functional performance of your application:
   * **Total Logs Evaluated** – The number of logs that have been functionally evaluated.
   * **Logs Passed, Failed Count** – A summary of logs that passed or failed their functional metric evaluations.
   * **Metric Failure Analysis** – Identifies the metrics that are failing most frequently, with an option to view detailed information for each.
   * **Alert Notification Timeline** – A chronological timeline indicating when alerts were triggered based on your defined alert settings.
   * **Metric-Volume Distribution** – A visualization showing the distribution of metric scores, helping you understand the typical performance range and identify outliers.