Hello, ENOMEM: Cannot allocate memory error indicates that you do not have enough memory to meet minimum specs. Please view our documentation on recommended hardware specifications <https://scalr-wiki.atlassian.net/wiki/display/docs/Suggested+Hardware+Specifications> .
4gb ram is our minimum requirement for a small Scalr install. 2x m3.medium (one app one DB) for a larger deployment (1000 instances) or 1x m3.medium for a smaller deployment (50 instances) should be sufficient. Please note, you will want to use m3 vs t2 instances as burstable t2 type instances can lead to poor performance if you have long running workloads. Cheers, Wm. Marc O'Brien Scalr Technical Support On Tuesday, August 23, 2016 at 2:31:47 PM UTC-6, [email protected] wrote: > > I am trying to install Scalr on my AWS instance, RHEL 7.2 and I am getting > the error message; > > Running handlers: > [2016-08-23T16:11:31-04:00] ERROR: Running exception handlers > - Raven::Chef::SentryHandler > Running handlers complete > [2016-08-23T16:11:31-04:00] ERROR: Exception handlers complete > [2016-08-23T16:11:31-04:00] FATAL: Stacktrace dumped to > /opt/scalr-server/embedded/cookbooks/cache/chef-stacktrace.out > Chef Client failed. 158 resources updated in 75.746784711 seconds > [2016-08-23T16:11:31-04:00] ERROR: supervisor_service[service-dbqueue] > (scalr-server::group_service_always_post line 5) had an error: > Errno::ENOMEM: Cannot allocate memory - fork(2) > [2016-08-23T16:11:31-04:00] FATAL: Chef::Exceptions::ChildConvergeError: > Chef run process exited unsuccessfully (exit code 1) > [root@ip-xxx-xx-xx-xx~]# > > Can someone help? > > -- You received this message because you are subscribed to the Google Groups "scalr-discuss" group. To unsubscribe from this group and stop receiving emails from it, send an email to [email protected]. For more options, visit https://groups.google.com/d/optout.
