Distributed data-plane performance testing tool
1f9c4d0a21
Now Shaker can be run in Docker container! The container does the whole work: it creates image, runs the scenario and cleans everything up. Change-Id: I9cbcb7e79d08f9526cf1ee8f3ccafab34d3935c2 |
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doc/source | ||
etc | ||
shaker | ||
tools | ||
.dockerignore | ||
.gitignore | ||
.gitreview | ||
.testr.conf | ||
config-generator.conf | ||
Dockerfile | ||
LICENSE | ||
openstack-common.conf | ||
README.rst | ||
requirements-agent.txt | ||
requirements.txt | ||
setup-agent.cfg | ||
setup.cfg | ||
setup.py | ||
test-requirements.txt | ||
tox.ini |
Shaker
The distributed data-plane testing tool built for OpenStack.
Shaker wraps around popular system network testing tools like iperf, iperf3 and netperf (with help of flent). Shaker is able to deploy OpenStack instances and networks in different topologies. Shaker scenario specifies the deployment and list of tests to execute. Additionally tests may be tuned dynamically in command-line.
Features
- User-defined topology via Heat templates
- Simultaneously test execution on multiple instances
- Interactive report with stats and charts
- Built-in SLA verification
Deployment Requirements
- Shaker server routable from OpenStack cloud
- Admin-user access to OpenStack API is preferable
Run in Python Environment
$ pip install pyshaker
$ . openrc
$ shaker-image-builder
$ shaker --server-endpoint <host:port> --scenario <scenario> --report <report.html>``
- where:
-
host
andport
- host and port of machine where Shaker is deployedscenario
- the scenario to execute, e.g. openstack/perf_l2 ( catalog)<report.html>
- file to store the final report
Full list of parameters is available in documentation.
Shaker in Container
Shaker is available as container a container at Docker Hub at shakhat/shaker
$ docker run -p <port>:<port> -v <artifacts-dir>:/artifacts shakhat/shaker --scenario <scenario> --server-endpoint <host:port>
--os-auth-url <os-auth-url> --os-username <os-username> --os-password <os-password> --os-project-name <os-project-name>
- where:
-
host
andport
- host and port on machine where Shaker is deployedartifacts-dir
- where to store report and raw resultscenario
- the scenario to execute, e.g. openstack/perf_l2 ( catalog)os-XXX
- OpenStack cloud credentials
Links
- PyPi - https://pypi.python.org/pypi/pyshaker/
- Docker - https://hub.docker.com/r/shakhat/shaker/
- Docs - http://pyshaker.readthedocs.io/
- Bugtracker - https://launchpad.net/shaker/