Performance and scaling
Administering Jira Data Center 9.17 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
On this page
In this section
Related content
- Automatic branch merging
- Using repository hooks
- Pull request merge strategies
- Using pull requests in Bitbucket Server
- How to bulk change, enable, or disable the "auto-merge" settings for projects in Bitbucket Data Center
- Review and discuss a pull request
- How to bulk change, enable, or disable the "auto-merge" settings for projects in Bitbucket Data Center
- Using forks in Bitbucket Server
- How to define a default merge strategy per Project
- Add default reviewers to pull requests
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 23, 2019
In this section
Related content
- Automatic branch merging
- Using repository hooks
- Pull request merge strategies
- Using pull requests in Bitbucket Server
- How to bulk change, enable, or disable the "auto-merge" settings for projects in Bitbucket Data Center
- Review and discuss a pull request
- How to bulk change, enable, or disable the "auto-merge" settings for projects in Bitbucket Data Center
- Using forks in Bitbucket Server
- How to define a default merge strategy per Project
- Add default reviewers to pull requests
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