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On Tuesday, June 25, 2019, we began releasing a new version of Analytics for Apigee Edge for Public Cloud.
New features and updates
The following are the new features and updates in this release.
Public release of asynchronous custom analytics reports
Until now, you could only run analytics custom reports synchronously. For a synchronous report, you run the report request and the request is blocked until the analytics server provides a response. However, because a report might need to process a large amount of data (for example, 100's of GB), a synchronous report might fail because of a time out.
This release adds support for running custom reports asynchronously. For an asynchronous report, you issue a report request and retrieve the results at a later time. Some situations when asynchronous query processing might be a good alternative include:
- Analyzing and creating reports that span large time intervals.
- Analyzing data with a variety of grouping dimensions and other constraints that add complexity to the query.
- Managing queries when you find that data volumes have increased significantly for some users or organizations.
You can run a custom report asynchronously from the Edge UI or by using the Edge API. You can also run a Monetization report asynchronously, as described in Manage reports.
Public release of analytics data export
Apigee Analytics collects and analyzes a broad spectrum of data that flows across your APIs and provides visualization tools, including interactive dashboards, custom reports, and other tools that identify trends in API proxy performance.
Now, you can export this analytics data from Apigee Analytics to your own data repository, such as Google Cloud Storage or BigQuery. You can then take advantage of the powerful query and machine learning capabilities offered by Google Cloud BigQuery and TensorFlow to perform your own data analysis.
For more, see Export data from Analytics.