Performance and scaling
Administering Jira Data Center 10.5 applications
- Jira applications and project types overview
- Getting started as an administrator
- Installing Jira applications
- Layout and design
- User management
- Configuring projects
- Importing and exporting data
- Configuring Jira application emails
- Jira system administration
- Jira Data Center documentation
- Performance and scaling
- Security overview and advisories
- Getting help
- Jira development releases
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In this section
Related content
- Generating a thread dump
- Manually Generating a Thread Dump
- Generate a Thread Dump Externally
- How to analyze thread dumps
- Troubleshooting Jira performance with Thread dumps
- How to generate thread dumps using Visual VM
- How to troubleshoot performance issues with thread dumps
- How to generate external thread dumps for Confluence 5.9.2 running Windows with the bundled JRE
- How to identify the source of unnamed thread pools
- How to analyze performance diagnostics ( thread dumps, heap dumps, garbage collection logs )
In this section, we present some best practices on how large and growing teams use Jira Software, along with the results of performance and scale tests we run for each release. These results can show you how the latest Jira version compares to the previous one, and how different metrics (projects, issues, custom fields, and so on) can affect your instance.
Last modified on Jan 29, 2019
In this section
Related content
- Generating a thread dump
- Manually Generating a Thread Dump
- Generate a Thread Dump Externally
- How to analyze thread dumps
- Troubleshooting Jira performance with Thread dumps
- How to generate thread dumps using Visual VM
- How to troubleshoot performance issues with thread dumps
- How to generate external thread dumps for Confluence 5.9.2 running Windows with the bundled JRE
- How to identify the source of unnamed thread pools
- How to analyze performance diagnostics ( thread dumps, heap dumps, garbage collection logs )
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