Understanding App Usage feature in Atlassian Data Center Products

In the world of Atlassian Data Center products, the effective utilization of Apps is paramount. These Apps serve as vital tools for customization, catering to the specific needs of individual organizations. However, without comprehensive access to App usage data, Administrators may find themselves handicapped in making informed decisions and taking necessary actions to optimize their systems.

In response to this crucial need, Atlassian introduces an innovative solution through its Jira App, designed to uncover and analyze app usage data comprehensively. Here’s a concise summary of what this entails:

1. Unveiling (some) App Usage Data:

The Jira app offers insights into various aspects of app usage, including:
- Lists of projects with specific custom fields introduced by apps.
- Dashboards introduced by apps, along with ownership details and recent viewing activity.
- Workflows created by apps, including conditions and validations.
- Metrics such as scheduled tasks, JQL calls, API usage, and database table introductions.

2. Detailed Breakdown:

The app provides detailed breakdowns for different components:
- REST API Usage: Tracks calls made through REST plugins, capturing user interactions and call counts.
- Database Tables: Displays tables introduced by apps via the Active Objects framework, along with row counts.
- JQL Functions: Highlights custom JQL functions introduced by apps and the number of associated search filters.
- User Interactions: Tracks page module views and interactions with web panels introduced by apps.

3. Optimization and Control:

Administrators have the ability to disable or re-enable features such as REST API tracking and web panel interactions through feature flags.

4. Ensuring Data Accuracy:

Attention is given to potential discrepancies, such as tracking interactions with static or non-interactive web panels.
Measures are in place to address conflicts, such as multiple apps introducing JQL functions with the same name.