Testing your app on a large instance

Always consider how your app affects the performance of large instances. These are instances that host large data sets and sustain a significant amount of traffic.

Ensure that you have appropriate indexes set up on all tables introduced by your feature or app. Wherever possible, filter data in database queries, rather than relying on in-app filtering, as the latter may require loading and discarding lots of data.

Finally, always test your feature or app on a Data Center instance with a large data set. The following subsections provide guidelines on what we consider a large instance for each product.

Dimensions of a large Bitbucket instance

A Bitbucket instance with these dimensions is considered large:

Dimension	Baseline
General
Users	15,000
Groups	5,000
Projects	30,000
Repositories	75,000
Pull requests
Open	100,000
Closed	5,000,000
Comments on pull requests	10,000,000
Nodes	5
Continuous load for the baseline in the performance smoke test
Clone	8 concurrent; 30/minute
Fetch	8 concurrent; 800/minute
Push	8 concurrent; 10/minute

When testing your app on an instance with this dataset, ensure that users can still:

• List projects
• List project repositories
• Browse pull requests
• Browse diffs
• Comment on pull requests

Dimensions of a large Confluence instance

A Confluence instance with these dimensions is considered large:

Dimension	Baseline
Users	100,000
Groups	15,000
Group memberships per user	1,500 (20 average)
Spaces	5,000
Pages	1,000,000
Pages per space	10,000 1,000 pages at the same level of hierarchy 20 page hierarchy depth
Comments per page	100
Attachments	100,000
Attachments per page	1,000 (10 average)
Global permissions	200
Space permissions	200
Page permissions	200
Application nodes	4
Traffic	700,000 HTTP calls per hour

Some of these dimensions use the upper limit of the content and traffic metrics for large instances in Confluence Data Center load profiles.

When testing your app on an instance with this dataset, ensure that users can still:

• View dashboard
• View page
• Create page
• Edit page (12 collaborators in a single edit session)
• Add comment
• Add inline comment
• Quick search
• Site search
• Add attachment
• View attachment

Dimensions of a large Jira instance

A Jira instance with these dimensions is considered large:

Dimension	Baseline
Issues	2,000,000
Projects	2,500
Users	100,000
Custom fields	1,800
Workflows	600
Groups	50,000
Comments	4,000,000
Permission schemes	400
Security security schemes	800
Attachments	660,000
Agile boards	1,450

Some of these dimensions use the upper limit of the metrics for large instances in Jira Data Center size profiles.

Learn more

• User Management Limitations and Recommendations.
• Guidelines for Data Center app develpment