We are starting to work in setting up a JIRA and Confluence configuration as much high available as possible. We will use AWS to do so and will use the Data Center versions.
The idea is to start with 500 users but scale up to around 2000 or more.
We are wondering what good practices are people using to do so, for example:
I just came back from re:Invent. I learned about auto-scaling and also would like info in this area for JIRA and Confluence. I guess it also depends on what type of auto-scaling you want to use... spinning up more instances or containers. This is what I am trying to find info about. Either way does Atlassian support multiple instances hitting the same DB? And what about the DB... this looks like it may still be a bottleneck in performance since Atlassian does not support NoSQL DBs.
If you find info please let us know. If I find something useful I will come back here and post it.
since this question Atlassian published the following pages about Datacenter deployment on AWS :
I personnaly succesfully set up a JIRA DataCenter on AWS a bit before they published their guide with the following components :
DB : RDS Mysql
Servers : EC2 instances
Load balancers : ELB
Shared FS : nfs
hope it helps :)
GlusterFS is not supported by Atlassian, so you may not want to go this route. We've implemented quite a few Data Center environments of all applications in AWS and on self-hosted virtual environments. We've found that EFS has good performance and is suitable for Data Center. For self-hosted, we've seen NFS work great and we've seen it be nearly unusable. You really need to measure the storage latency to make sure it's fairly low. We don't recommend using unsupported technologies, since they will not have been tested by Atlassian and they will have a challenge in helping you if your support issue may be related to storage or storage performance.
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