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Rally provides a framework for performance analysis and benchmarking of individual OpenStack components as well as full production OpenStack cloud deployments. Mirror of code maintained at opendev.org.

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Using --no-cache-dir flag in pip install ,make sure dowloaded packages
by pip don't cached on system . This is a best practise which make sure
to fetch ftom repo instead of using local cached one . Further , in case
of Docker Containers , by restricing caching , we can reduce image size.
In term of stats , it depends upon the number of python packages
multiplied by their respective size . e.g for heavy packages with a lot
of dependencies it reduce a lot by don't caching pip packages.

Further , more detail information can be found at

https://medium.com/sciforce/strategies-of-docker-images-optimization-2ca9cc5719b6

Change-Id: If206e41f3bac6e0b73b57e85c80fa2530ee9d4cf
Signed-off-by: Pratik Raj <rajpratik71@gmail.com>
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README.rst

Rally

Rally is tool & framework that allows one to write simple plugins and combine them in complex tests scenarios that allows to perform all kinds of testing!

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Latest Version Gitter Chat Trello Board Apache License, Version 2.0

What is Rally

Rally is intended to provide a testing framework that is capable to perform specific, complicated and reproducible test cases on real deployment scenarios.

Rally workflow can be visualized by the following diagram:

Rally Architecture

Who Is Using Rally

Who is Using Rally

Documentation

Rally documentation on ReadTheDocs is a perfect place to start learning about Rally. It provides you with an easy and illustrative guidance through this benchmarking tool.

For example, check out the Rally step-by-step tutorial that explains, in a series of lessons, how to explore the power of Rally in benchmarking your OpenStack clouds.

Architecture

In terms of software architecture, Rally is built of 4 main components:

  1. Environment - one of key component in Rally. It manages and stores information about tested platforms. Env manager is using platform plugins to: create, delete, cleanup, check health, obtain information about platforms.
  2. Task component is responsible for executing tests defined in task specs, persisting and reporting results.
  3. Verification component allows to wrap subunit-based testing tools and provide complete tool on top of them with allow to do pre configuration, post cleanup as well process and persist results to Rally DB for future use like reporting and results comparing.

Use Cases

There are 3 major high level Rally Use Cases:

Rally Use Cases

Typical cases where Rally aims to help are:

  • Automate measuring & profiling focused on how new code changes affect the OpenStack performance;

  • Using Rally profiler to detect scaling & performance issues;

  • Investigate how different deployments affect the OS performance:

    • Find the set of suitable OpenStack deployment architectures;
    • Create deployment specifications for different loads (amount of controllers, swift nodes, etc.);
  • Automate the search for hardware best suited for particular OpenStack cloud;

  • Automate the production cloud specification generation:

    • Determine terminal loads for basic cloud operations: VM start & stop, Block Device create/destroy & various OpenStack API methods;
    • Check performance of basic cloud operations in case of different loads.

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Rally provides a framework for performance analysis and benchmarking of individual OpenStack components as well as full production OpenStack cloud deployments. Mirror of code maintained at opendev.org.

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