Confluence instances and workspaces grow quickly! If not kept in check, this unregulated growth ends up not only cluttering the workspace structure but also taking up precious storage space resulting in slower loading time.

Our team had been struggling to manage the inactive spaces and pages and to maintain the workspace structure manually. Finally, we decided to automate the task of recommending inactive pages and built Workspace Cleaner.

Cleaning up your workspace could be tricky and manually time-consuming. Workspace Cleaner's goal is to change that, help organizations manage their Confluence spaces better!

What it does

Workspace Cleaner is a workspace/page management tool built by Confluence users for Confluence users. It provides key insights about pages by tracking their recent activities like views, viewers, comments, likes, etc. Thus, helping you to make an informed decision about the instances you might want to delete, everything on a single page! Key features:

  • Find activity score for each page/space
  • Identifies pages with low activity based on recent views, likes, comments.
  • Quick access to actions to manage your pages
  • Caching using the Storage API for low latency

How we built it

We used the Forge development platform in combination with the Confluence REST API, UI kit and Storage API.

Accomplishments that we're proud of

We had never used Atlassian Forge development platform previously. However, we went through the documentation and got accustomed to it pretty easily. We are proud that we were able to build a working prototype, within a short span of time, in spite of not knowing the platform very well.

What we learned

We learned how to work remotely in a team. We also learned how to use the documentation while developing an application.

What's next for Workspace Cleaner

We are considering making this project open-source and available in the Atlassian Marketplace if people find it valuable. So, please tell us your feedback and suggestions about the app in the comments below. We're all ears!

Thank You

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