Dashboard

Created by Lakshmi Vasanth, Modified on Thu, 5 Dec, 2024 at 8:52 AM by Lakshmi Vasanth

The Dashboard page visually represents various real-time data for efficient performance tracking and analyzing AI-driven analytics to identify and resolve issues.


1.  Navigate to AI Monitoring > AI APM.


The AI APM Dashboard page is displayed.



The AI APM Dashboard displays the following widgets:

  • Health

  • SLO Breach

  • Anomalies

  • Alerts

  • Application Latencies

  • Application Throughput

  • Service Map

  • Errors



Health

The Health widget provides an overview of the health status of selected applications and infrastructure, highlighting issues over a defined period. This allows you to evaluate the stability and performance of critical system components.




SLO Breach

The SLO Breach widget displays the number of Service Level Objective (SLO) breaches over a defined period, enabling you to track whether your services meet predefined performance and reliability targets.




Anomalies

The Anomalies widget displays the count of AI-detected performance anomalies, providing insights into unusual patterns that may indicate potential issues in system performance.




Alerts

The Alerts widget displays the number of all triggered alerts generated in the system.




Application Latencies

The Application Latencies widget displays a graphical representation of application latency over time, indicating performance trends.



When you hover the mouse over a specific application bar, the latency count for that application is displayed for the selected period.




Application Throughput

The Application Throughput shows the amount of data transmitted or received by applications over a specific period.



When you hover the mouse over a specific application bar, the data throughput for that application is displayed for the selected period.




Service Map

The Service Map widget shows the interconnection between services and components allowing you to identify dependencies easily.




Errors

The Errors widget displays a bar graph showing error metrics over a specific time.  Different colors on the bar chart represent the errors.



When you hover the mouse over an error bar in the chart, the count of that specific error for the selected time is displayed.


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