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The AppDynamics UI provides a variety of graphs and tools to help you visualize metric data so you can use it effectively for analyzing your application's performance, as described in this section.
About Metric Visualization Tools
Thedisplays all the metric values collected over the selected time period in an expandable tree. The Metric Browser is the primary interface through which you will inspect metric performance.
In the browser, you can drag and drop metrics from the tree onto graphs to compare metrics and analyze patterns. For more information on the browser, watch the video Overview of Metrics in AppDynamics.
Analysis tools include:
- The scalability analysis tool provides scatter diagram graphs to display how performance scales as load (calls per minute) changes. You can compare load to response time or to CPU time for the entire application, a business transaction or a server.
- The correlation analysis tool provides scatter diagram graphs to compare any two metrics. You configure which metrics to display on the X and Y axes.
- The compare releases tool allows you to compare key performance indicators, transaction snapshots, flow maps, business transactions for any two time periods for the entire application, a business transaction or a server.
Compare Releases Tool
- In the left navigation pane of the Controller UI, under More, select Compare Releases.
- Set the time ranges to compare from the Time Range drop-down menus in both panes.
- Select the entities to compare in the Select What to Compare panel.
- Select the metrics that you want to compare from the View drop-down menu.
- Click Compare.
AppDynamics includes a wealth of metrics that reflect your application's performance. It also lets you extend and adapt metrics in certain ways. Information points, for example, let you create metrics based on data collected from application values, such as method parameters or return values. Percentile metrics let you configure metrics at deviation points useful to you.
You can create a metric from any application parameter using custom metrics. See Extensions and Custom Metrics for information on custom metrics.
For more information on selected metrics, see the Metrics Reference.