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This section provides an overview of how to use the Application Analytics UI. There are two steps:
- Identify the data you want to analyze
- Visualize the data
Identify the Data to Analyze
After the Events Service is installed (for on-premise) and Analytics is enabled on the Controller, whether locally by you or in a SaaS environment by AppDynamics, you can navigate to the Analytics interface from the Controller UI.
Navigate to the Analytics interface in the Controller UI by clicking Analytics in the top navigation bar.
From the Search & Analyze page, use the dropdown menu at the top of the page to select the data type you want to work with. You see the analytics data types licensed and enabled for your application.
Exploring Analytics Data
All four data types share the same basic layout on the Data tab of the Search and Analyze page. Use the Data tab to select the data to review and analyze. Use the Visualization tab to see graphic representations based on that data.
First identify your data set. This is an annotated sample of the Data tab for Log Analytics.
Strategies for Locating Data of Interest
- Use a saved search by clicking the dropdown in the upper left corner
- Use the vertical ellipisis icon (three-dot menu) to manage named searches (saving, duplicating, and so on)
- Create searches for specific use cases. For details, see Constructing Searches for Application Analytics.
- Focus on a specific time range by dragging your mouse across the event stream or by using the time range dropdown
- Select various fields from the data, targeting the kind of data of interest to you, then scan the event list:
- Double-click on any specific event to display detailed information
- Examine Top 10 Values. Click on a field to see the the top 10 values of that field in your filtered dataset. The results are presented as a count and percentage from all data within the specified time range for that field. This can help you get immediate insights from your data without having any predefined rules or previous knowledge of the data.
- You can add a value to the search criteria bar by hovering over the value and clicking on the plus icon that appears to the right.
- Relevant Fields (Beta feature, available only for Transaction and Log Analytics): Once you have added at least one filter, you can use Relevant Fields to find data fields that show a high Relevance Score. A high relevance score indicates these fields are significantly more common in your filtered dataset than in the entire dataset and thus these fields may be particularly useful to investigate. Click a field to add it as an additional filter. In this example when a filter for the Error User Experience is used, the Inventory-Services Tier has a higher Relevance Score than the ECommerce-Services tier and may be a good starting point for investigation. Also see Relevant Fields Investigative Flow.
- Create New Fields (Log Analytics): Use this button to create a new field extraction definition for the log source type dynamically. See Configuring Log Analytics for more information on field extraction definitions. You must define the field manually using Java regex patterns - Grok patterns are not supported.
Visualize the Data on Analytics Dashboard
Once you have defined your preferred data set, use the Visualization tab to explore the specific aspects of the data that interest you and to drill down into the relationships you need to understand. Each visualization type is a widget, and widgets can be added and removed as desired.
To add a new visualization widget to an existing dashboard:
- Click the Widget Builder icon.
The Widget Builder appears.
- Drag and drop Fields to define the relationship you want to investigate.
- Use the Visualize section to select the display type you want to use.
- To make this widget a part of your permanent Dashboard, click Save & Back to Dashboard.