6 Questions
What is the primary purpose of the DataMap Screen?
To provide a simple view for large volumes of data
How do you create groups on the DataMap Screen?
Choose a metric and select 'generate groups' to automatically categorize data
What is a key feature of the DataMap UI?
Automatically detects and sorts labels attached to metrics
What is the benefit of using the DataMap for data visualization?
It displays a high-level view of problem areas in the data without overwhelming information
What is a capability of the DataMap?
It scales to render huge volumes of information in simple, digestible formats
What is the result of zooming in on a node on the DataMap?
A snapshot of low-level data is displayed
Study Notes
DataMap Screen
- Provides a simple view for large volumes of data, eliminating the need for multiple dashboards
- Enables building a top-level view of complex systems or slicing observability data in new ways
Creating a Data Model
- Define a base data model to structure the data map and create groups on the screen
- Choose a metric (e.g., load time) and select 'generate groups' to automatically categorize data
DataMap UI Features
- Automatically detects and sorts labels attached to metrics
- Highlights categories for visualization (e.g., method, status, category)
- Allows customization of group orders (e.g., country, method, request IP address)
- Enables adding color to data map based on chosen metric and aggregation (e.g., average)
Data Visualization
- Displays a high-level view of problem areas in the data
- Provides immediate feedback on detailed changes to the system without overwhelming information
- Enables zooming in on a node for a snapshot of low-level data
- Offers filtering nodes based on fields available on the chosen data model metric (e.g., HTTP data for a given country)
DataMap Capabilities
- Scales to render huge volumes of information in simple, digestible formats
- Makes tracking entire systems more straightforward
Learn about the features and capabilities of DataMap, a tool for visualizing and structuring large volumes of data. Discover how to create a data model, customize the UI, and visualize problem areas in the data.
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