We are planning a large (Enterprise scale) Jira instance, based on the sizing guidence from Atlassian. The server is equipped with more than 128 GB of memory.
During a recent planning session, a developer noted that JVM's larger than 8 GB can have performance issues due to garbage collection, and other memory management, taking too long.
Has anyone configured a JVM with large memory (64 GB and up) and experienced this type of issue, and was there any remedy?
Hi Jim, do you anticipate a need for JIRA having >64GB of memory set for the heap? It's quite a rare situation even in large organizations. We've had instances running with >8GB of RAM.
Whilst garbage collection would be consideribly slower, you'd also require less garbage collection (as you'll less often fill up all the memory). I'd consider using Java 7 and G1C as a concurrent garbage collector to avoid any huge performance spikes due to GC.
If performance is an issue though, I'd consider other methods of performance tuning than simply increasing the RAM.
I found a few useful documentation on JIRA performance tuning and scaling:
Hope it helps
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