KeystonePerformance
Revision as of 13:02, 13 December 2013 by Neependra Khare (talk | contribs) (→Identify CPU, Disk, Memory, Database bottlenecks)
Contents
- 1 Keystone Performance
Keystone Performance
This is to track the performance work related to Keystone.
Work Items
Identify CPU, Disk, Memory, Database bottlenecks
Methodology
Test #1, Create users in parallel and look for CPU, disk or memory bottleneck.
- Install RDO [1] on a bare metal
- Create one instance of m1.medium flavor and other of type m1.large, so that we can have different CPU and memory config
- Install KeyStone on both of the above created instances
- Using python multiprocessing module create users in parallel using keystoneclient.v2_0 module on each one of them.
- key.users.create(<user>, "test", "test@test.com")
- Collect the CPU, Disk, Memory and Database related stats while user creation is in progress.