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Jira Cloud performance with over 1M issues

Hi all,

We're researching if we should migrate some of our operation as issues managed in Jira, and are worried about possible performance trouble. I found a sizing guide for Jira Server but not for Cloud:

We plan on creating about 1M issues, possibly on the same project. Most of the issues will not be resolved. We won't have many users and will have a few dozen custom fields.
The number of issues will grow with time and may reach tens of millions.

How will this affect the overall performance of the board and ticket handling?
Is there a sizing guide for Cloud?

Thank you.

1 answer

1 accepted

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Answer accepted

Hello Shay,

Thank you for reaching out.

As you may know, Jira Cloud runs on Atlassian Servers, so a sizing guide would not give you any relevant information on what you should be measuring against it. Explaining it better:

JIRA Cloud has different plans that will adapt to your current necessity (2GB, 250G, Unlimited), giving you the storage and resources you need to achieve your goal. You can check the documentation below to know about the plans and how you can track your current storage in your site:

Storage for Jira and Confluence Cloud 

As you can see in the documentation, even if you reach the storage limit of your current plan, we won’t cancel your subscriptions or remove any data, as long as the usage is in accordance with our acceptable use policy.

That being said, storage does not cause performance issues and Jira is completely able to handle millions of issues without any performance gaps. Usually, only a huge usage of external scripts for bulk operations and Automation could cause such overload, although this is far from common.

Let us know if you have any questions.

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