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The performance of any bulk task depends on your network as well as the response on of your Atlassian instance environment, if . If your instance handles high load, the iteration will be much faster for the bulk operation you are running given that you’re on a good network. If it’s not then it will reduce to your instance capability. This way, your operational task doesn’t cause excessive requests which ends up in a 429 error rate limit.
For example a typical bulk task of 4K rows for
bulk-create-usersorbulk-delete-userscan be done within 30 mins just to give you a benchmark.
We keep track of the frontend performance in relation to how each page render for users. We do not track users outside the context of the app and we tag each user as anonymous, we only get information relating to the pages visited and how much time it took for the page to render. This information helps us improve the frontend performance as much as possible based on trends from usage.
We log error data from end-user activities. If any error occurs, we keep track of what those errors are, so we can mitigate them in future.
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