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Early Access Program: Visualize your server footprint with Portfolio analyzer

Hi Community,

I’m Ben, a product manager on the Atlassian’s Migration team. We’ve recently started a new EAP for the Portfolio analyzer and this is an official invitation for you to join the program, try out the feature, and help us make it better or add additional capabilities that could be useful for your case.



What is Portfolio analyzer?

In short, Portfolio analyzer lets you visualize what you currently have in Server and Data Center – from specific Jira and Confluence instances to all of their projects or spaces, together with all the relations between them.

Right now, it has the following functions:

  • Relations: You can view your Atlassian products, their projects or spaces, and all relations and links between them. A relation is identified based on any type of link in the content, also regular URLs.

  • Summary info: You can see the aggregated information, like the number of issues or pages, for the entire instance or a selection of items.

  • Filtering: You can use filters to find items that weren’t updated for a long time or that have dependencies on the most common apps, like ScriptRunner for Jira.

  • Scoping your migration: You can create a selection of items, see the estimated migration time, and export the related project or space keys into a file to help you build a migration plan in the assistants.

Scoping your migration

One of our main goals is to help you scope the items you want to migrate. You can do it by manually selecting specific items, filtering by last update or app usage, or automatically selecting all dependent projects or spaces so your data is complete after the migration.

Here’s a sample selection of projects that have dependencies on one of the most common Jira apps:


When you create a selection, you can export it into a file that includes the keys of projects or spaces you selected. In the next versions, we want to make it more automated – right now, you’d have to manually add them to your migration plan.

How does it work?

It’s an early EAP, so collecting and uploading data is still fairly manual. Here’s a summary of steps:

  1. Collect data: You’ll run a script on each of your server instances to collect data about entities and relations between them.

  2. Upload data: You’ll upload the collected data to your organization in cloud. We don’t collect any identifiable data, such as the content of issues or pages.

  3. View data: Once it’s uploaded, you’ll be able to view it in Portfolio analyzer on (available only after you get EAP access).

How to join the EAP

You can request to join the EAP using the following form. We’ll only need emails of Atlassian accounts we should grant access to.

Request to join the EAP

More info & docs

If you’d like to learn more about this feature, you can check out our docs: Portfolio analyzer docs

What’s next?

We’re really looking forward to hear your feedback, so we can improve this tool based on your needs. Feel free to comment on anything, from how the feature works to the improvements you’d like to see. We’ll get our best people to review it. You can leave your feedback as a comment on your Early Access Program sign-up request or in the comments below.

Sneak peek: Our initial ideas were to improve the user experience of Portfolio Analyzer or experiment with data clustering.



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Will you be making this (or something similar) available for DC clients? I can see this potentially being of value to a number of our clients who are on DC and will not be migrating to cloud.


Ben Borecki
Atlassian Team
Atlassian Team members are employees working across the company in a wide variety of roles.
Dec 11, 2023

Hi @Jeffery CandiloroPortfolio analyzer is available for both Server and Data Center. You can upload your on-premise data regardless of your license type. You only need to have a cloud org, where the data is going to be presented.

By the way, @Jeffery Candiloro can you please share where do you find this tool valuable for DC clients? We'd love to learn more use cases, so we can improve the tool further.

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