Boost your Jira Data Center performance with instance optimization insights

[#1]

Hello Atlassian community,

As someone who works closely with Data Center teams, I understand the challenges you face maintaining large-scale Jira instances. Today, I'm excited to announce that we're making your job easier with the release of instance optimization in Portfolio Insights beta.

Why we build this

Many of you have told us that:

• Troubleshooting performance issues takes too much time

• It's difficult to proactively identify potential system bottlenecks

• Managing multiple nodes and their health requires constant attention

• Keeping track of instance limits and guardrails is a manual process

• Planning for growth and scale needs more data-driven insights

What's available now

We've built an optimization space for Jira Data Center that puts all critical instance health information in one place:

System guardrails monitoring

• Track groups, projects, custom fields, and users against recommended limits

• Get instant visibility when you're approaching or exceeding thresholds

• Access specific queries and steps to address limit breaches

Node performance tracking

• Monitor database connection latency across nodes

• Track CPU load and garbage collection metrics

• Identify internode communication issues

• Assess shared disk write performance

• View HTTP connection pool status

Actionable recommendations

Each insight comes with:

• Clear explanation of the impact on your instance

• Step-by-step resolution steps

• Relevant documentation links

• Diagnostic queries where applicable

Plus, for teams considering cloud, we've included cloud readiness assessments to help you understand your migration readiness.

Here are some ways you can use these insights:

• Quickly identify which nodes are experiencing performance issues

• Determine if your custom fields or groups need cleanup

• Understand if your database connection pool needs optimization

• Plan capacity based on current usage patterns

• Prepare for cloud migration with confidence

Getting started

1. Go to Administration > Manage apps

2. Update Atlassian Troubleshooting and Support Tools (ATST)

3. Open ATST, navigate to Optimization, and follow the steps to access Portfolio insights

Resources

• Complete setup guide

• Optimization for Jira Data Center

• Cloud readiness insights for Data Center

What's next?

We're working closely with admins like you to build:

• Support for Confluence Data Center optimization

• Additional performance metrics based on your feedback

• Manual data upload option

• Automated implementation of selected optimization recommendation

• Improved troubleshooting capabilities

Join the conversation

As a Data Center admin, your experience is invaluable. Share your thoughts below:

• Which metrics are most useful for your daily operations?

• What additional insights would help you maintain your instance?

• How can we make the recommendations more actionable?

Best regards,

Mateusz Miodek

Senior Product Manager, Data Center

[Tarik Userli]

Sounds good

[Robin Powell]

I was excited about this until I got to the part where we have to connect to your Cloud instance for this functionality to be available. We use Data Center because we cannot connect to the Internet, so this unfortunately doesn't help us at all. 

[Tarik Userli]

Yeah i read and thought about it too after i wrote my comment. We have the same thing. We cant "easy" connect our data to the cloud cause of special privacy regulations in health sector in Germany.  So the idea is good but could not be implemented. And further on it could be heard like "hey we cant get any data from our DC customers, lets try this way to get any locked in data"..

[Jeff Hizer]

As many times as our company has met and discussed DC issues with Altassian, like not being able to connect apps to the internet even for Marketplace updates, the message just isn't understood. 

[Mateusz Miodek]

Thank you for your feedback, @Tarik Userli , @Robin Powell , and @Jeff Hizer . One of the features we plan to add is "manual upload." This would allow you to generate a JSON file with performance metrics, save it to a local disk, and manually upload it into Portfolio Insights to see the recommendations. It would require more manual work but remove the need for connecting the instance to the cloud. Would that work for you, then?

[Tarik Userli]

In technically form yes but there is still the question what happpens with the data and wich data is collected where it is stored or if its stored at all. How i say its difficult in my case because of the regulations in Germany.

Thank you for your answere!

best regards,

Tarik

[Robin Powell]

I agree with @Tarik Userli . I'd have to see what data was required, but overall I'd have to balance the effort it would take to scrub the data before giving it to you against the value of the information we'd receive in return (especially since user information would be part of what we'd scrub). My guess would be no. I can judge whether we have too many groups, users, and projects without going through the effort.

[Jeff Hizer]

I also agree that we would need to review the data being uploaded before we could make that determination to see if any data is restricted under cybersecurity disclosure policies.  What we really need are features that run inside of our instance, but Atlassian continues to push us to provide data externally. For now, I don't see our cybersecurity team would approve any external data upload as the result gained may not justify what we would be required to provide.

[Mateusz Miodek]

@Tarik Userli , @Robin Powell , and @Jeff Hizer, we don't collect any UGC or PII data; we only collect basic metadata and performance metrics. We also support data residency in the EU and the US. You can read more from our Security and data handling page. Here is an exemplary payload file. 

Please let me know if that would resolve your concerns.