Every data point is going to add in additional overhear, so this depends on the configurations.
If you have 30 teams with 1 team member each, I would not expect any impact, however if you had 30 teams with 100 members per team I would expect some delays on content rendering as that is a lot of overhead on any action, I would also expect delays on performing a calculations for the capacity comparisons from the amount of users to sort through for availability.
With that said however, anything we can to to improve performance is always high priority if gains can be made and especially if there is a major loss in functionality form slow running queries. How are you plan and team settings configured? with what amount of team member loading? and what kinds of delays are you seeing?
Are you able to tell us which specific components of the plan are the most performance intensive? This way, we can turn them off incrementally in terms of importance to the team.
Hello everyone, Hope everyone is safe! A few months ago we posted an article sharing all the new articles and documentation that we, the AMER Jira Service Management team created. As mentioned ...
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