Perftracker

The Perftracker – UI and data storage for continuous integration process in your performance team. Hardware management, performance tests results tracking, charts, comparisons and build to build regressions.

Perftracker Server

The Perftracker Server:

• Job results storage
• Tests data storage, such as logs or artifacts
• Job results comparisons with tables and charts
• Regression tracking (degradations / improvements)
• Hosts management (scheduling, locking, utilization)

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Sources – https://github.com/perfguru87/perftracker

Perftracker Client

The perftracker client – a set of python libraries useful for performance testing and a client for the Perftracker server:

• Perftracker client – a library to build tests suite and upload results
• The UI crawler – selenium-based UI crawler framework with automatic web UI menu items recognition and clicking
• Various performance libraries/helpers

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Sources – https://github.com/perfguru87/perftracker-lib

The performance testing workflow outline

• Install the perfrtracker server and perftracker-lib
• Create a set of projects on the perftracker mapped to your software projects
• Write your performance tests or wrappers for third-party tests using whatever language your like
• Combine a set of tests together to a suite
• Create regular job based on jenkins, cron, etc and run your suites
• Launch your test from the suite and export your results using one of three options:
  1. use the perftrackerlib.client python library
  2. export your tests results to a *.txt or *.json file and upload it using the pt-suite-uploader.py tool
  3. use the perftracker server REST API to upload results
• Go to the Perftracker server and:
  • manage/assign/lock your hardware
  • review job results
  • compare the job results with advanced tables and charts
  • generate automated build-to-build regressions

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