ldoktor/fedora-runperf repository overview

⁠============ Introduction

This project should help with executing the same tasks on pre-defined scenarios/profiles. In case the tasks provide pbench-like json results it also allows tools to analyze and compare the results with main focus on monitoring performance in time.

The main usecase of this tool is a performance regression CI.

⁠Setup

Run-perf is available from pip so one can install it by executing::

python3 -m pip install runperf

or to install directly the latest version from git::

python3 -m pip install git+https://github.com/distributed-system-analysis/run-perf.git

For development purposes please check-out the :any:clone-and-deploy section.

⁠Components

• run-perf => run perf test(s) and report results
• compare-perf => compare 2 or more runperf results together reporting human as well as machine readable output optionally supporting model to smooth the comparisons
• analyze-perf => calculate a model based on one or multiple results

⁠Basic usage

Execute uperf and fio (with custom params) on machine foo.example.org that will be provisioned via beaker to Fedora-32. Execute the tests under Localhost (directly on the foo.example.org machine) and TunedLibvirt (configures host, fetches guest image, configures it and spawns guest VM) profiles and report results in ./result_$date directory::

run-perf -vvv --hosts foo:foo.example.org --provisioner Beaker --distro Fedora-32 --default-password password --profiles Localhost TunedLibvirt -- uperf fio:'{"type":"read", "ramptime":"1", "runtime":"10", "samples":"1", "file-size": "100", "targets": "/fio"}'

Process result* directories, compare the ranges and create a linear model that normalizes the ranges to <-3, +3> range::

analyze-perf -vvv -l model1.json -t 3 -- result*

Compare src and dst results using model1.json linear model and report the comparison in human readable form to the console, in XUNIT format in result.xml file and as a standalone html page in result.html. For some tasks the result* results are also added as reference for better visualization of the changes::

compare-perf -vvv --tolerance 5 --stddev-tolerance 10 -l model1.json --xunit result.xml --html result.html -- src result* dst

.. image:: https://github.com/distributed-system-analysis/run-perf/actions/workflows/ci.yml/badge.svg⁠ :target: https://github.com/distributed-system-analysis/run-perf/actions/workflows/ci.yml⁠ :alt: Github Actions CI

.. image:: https://readthedocs.org/projects/run-perf/badge/?version=latest⁠ :target: https://run-perf.readthedocs.io/en/latest/?badge=latest⁠ :alt: Documentation Status

.. image:: https://img.shields.io/lgtm/alerts/g/distributed-system-analysis/run-perf.svg?logo=lgtm&logoWidth=18⁠ :target: https://lgtm.com/projects/g/distributed-system-analysis/run-perf/alerts/⁠ :alt: LGTM alerts

.. image:: https://img.shields.io/lgtm/grade/python/g/distributed-system-analysis/run-perf.svg?logo=lgtm&logoWidth=18⁠ :target: https://lgtm.com/projects/g/distributed-system-analysis/run-perf/context:python⁠ :alt: LGTM Python code quality

.. image:: https://api.codeclimate.com/v1/badges/5a2ca7137e0094c24c18/maintainability⁠ :target: https://codeclimate.com/github/distributed-system-analysis/run-perf/maintainability⁠ :alt: Maintainability

.. image:: https://api.codeclimate.com/v1/badges/5a2ca7137e0094c24c18/test_coverage⁠ :target: https://codeclimate.com/github/distributed-system-analysis/run-perf/test_coverage⁠ :alt: Test Coverage