Typically, the performance issue will surface as the instance gets bigger with more data.
Some of the possible causes:
- incorrect/unexpected scenarios
- 1000 Stories under 1 single Epic
- An issue with 5000 comments
- design that does not scale well with larger set of data
- an automation rule to update all the open issues in the instance
- very big search index
- the time to search is correlated with the amount of data searchable
- automation
- there might be automation rules running amok which affects multiple issues
- chain execution of automation rules
- Tip: Check out 7 things you need to know about Automation for Jira
- integrations
- external system sending thousands of REST API calls (to retrieve or update update)
- incompatibility across plugins
- Individually each app works ok, but they cause issues with each other
- CPU intensive jobs
- e.g. project level exports can be intensive if there are a lot of custom fields
- a lot of custom fields
- By updating the custom field context, it can help to improve the performance
The best way to improve the speed is to identify the root cause and treat the problem accordingly.
- If it is a plugin related issue, you can try to disable the plugin to isolate the problem
- If it is a data triggered issue, you can try to remove the data
You can use Site Statistics for Jira Cloud to track the historical growth of issues in your Cloud instance. It can be helpful to see if the slowness is caused by huge increase of issues.
What does Atlassian Intelligence says?
I posed the question “Possible reasons causing Jira Cloud to be slow” and got the answer below
- High network latency: Slow internet connection or high network congestion can result in slower response times for Jira Cloud.
- Large number of issues: If your Jira project contains a large number of issues, it may impact the performance of Jira Cloud.
- Heavy usage: Concurrently performing resource-intensive operations such as searching, reporting, or updating a large number of issues can slow down Jira Cloud.
- Misconfigured plugins: In some cases, misconfigured or poorly optimized plugins can cause performance issues in Jira Cloud.
- Insufficient hardware resources: Inadequate server resources such as CPU, memory, or disk space can affect the performance of Jira Cloud. ❌
- Outdated software version: Running an outdated version of the Jira application may lead to performance degradation and compatibility issues with other components.❌
To troubleshoot and improve the performance of your Jira Cloud instance, you can follow these steps:
- Check your network connectivity and ensure that you have a stable internet connection.
- Optimize your issue database by archiving or deleting unnecessary data to reduce database size and improve overall system performance.
- Review installed plugins and disable any that are not essential or causing slowdowns. Ensure that all installed plugins are up-to-date with compatible versions for your current JIRA setup.
- Monitor system resources (CPU, memory) on the server running JIRA to identify any bottlenecks and consider scaling up hardware if required.
- Regularly update your JIRA application to benefit from bug fixes and performance improvements provided by Atlassian through new releases.
❌ The hardware for Jira Cloud is managed by Atlassian. It is always upgraded to the latest version automatically.
