Real User Monitoring uses a variety of graph types to provide insight into both the trends and distributions in application performance. Each graph has unique controls to adjust the visualization, allowing for easier interpretation of the data.
The line graph visualizes the Average, Median, P90, and P99 of each performance metric over the time range selected, enabling you to see the trend in overall front-end performance of your application.
You can hide the Average, Median, P90 or P99 lines by clicking the corresponding label in the key at the bottom of the graph.
Next to the dropdown is the options menu, within the three dots, where you’ll find the following control:
- Logarithmic scale: switches the Y-axis into logarithmic scale. This helps if you have a particular high outlier which is making the lines hard to interpret.
The histogram visualizes the distribution of views within the different buckets of performance. At a glance, you can see how the majority of users are experiencing the app.
The dropdown in the top right hand corner of the chart can be used to toggle between different metrics.
Groups of bars can be hidden by clicking on the corresponding label in the legend below the graph.
Next to the dropdown is the options menu, within the three dots, where you’ll find the following controls:
Hide 10% slowest to hide the slowest 10% of the dataset. This helps if your graph has a particularly long tail due to outliers.
Logarithmic scale: switches the Y-axis into logarithmic scale. This helps if any bars containing a large count are flattening the graph.