Hi everyone,
I’m managing a large Jira instance where some projects have 10,000+ issues, and I’ve noticed that performance can sometimes slow down — especially when running complex filters, dashboards, or reports. I want to start a discussion about best practices for maintaining Jira speed and stability at scale.
Specifically, I’m looking for advice on:
Essentially, I want to gather practical strategies and expert advice for running Jira efficiently when dealing with very large projects, so we can avoid slow load times and system frustration.
Looking forward to hearing your tips and experiences!
Hi @Tarun Nagar ,
This is a great topic! There a few points and the corresponding articles that provide some information:
https://support.atlassian.com/jira-software-cloud/docs/jql-optimization-recommendations/
https://support.atlassian.com/jira-cloud-administration/docs/what-is-the-site-optimizer/
Thank you very much
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Hi @Tarun Nagar ,
As you are using Atlassian Cloud, you can follow some diagnosis steps described here and then contact Atlassian Support from https://support.atlassian.com/contact/#/
Regarding Optimizing Jira queries and filters,
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Managing Jira with 10k+ issues per project can get challenging. Key tips include archiving old issues, optimizing workflows, indexing regularly, and using filters and dashboards efficiently. Proper add-on management and monitoring system resources also help maintain smooth performance.
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