76a1e23df6
Simplify and unify full naming of plugins
The new logic is pretty strightforward and simple to understand:
1) Full name provided
-> Try to find exact match or raise NotFound
2) Only name provided
-> Finds all plugins with exact name match:
A) if one found -> return it
B) if multiple found -> raise error MultiMatch with infomration
of platforms
c) if none found -> return error
This approach is going to force people to be explicit about platform
when they use multiple platforms in same task if there are name colisions
However, it won't be redunant in case when you are using one platform and
don't want to explicitly specify it.
Auto-magic discovering of platform should be disabled because:
1) it's unclear how it works and hard to explain which is very bad
2) is going to produce random limitations and unexpected behaviors
One of example is if we decided to write large libs for:
HTTP, DNS, FTP, and other kind of scenarios and context and have
separated platforms for them e.g. @http, @dns, @ftp, ....
they are going to be run against "default" platform which doesn't
contain any information however they are not @default platform
Change-Id: I8ae5369bcf5ef3aba0fa39a95d8c40cf75edb4bf
Rally
Team and repository tags
What is Rally
Rally is a Benchmark-as-a-Service project for OpenStack.
Rally is intended to provide the community with a benchmarking tool that is capable of performing specific, complicated and reproducible test cases on real deployment scenarios.
If you are here, you are probably familiar with OpenStack and you also know that it's a really huge ecosystem of cooperative services. When something fails, performs slowly or doesn't scale, it's really hard to answer different questions on "what", "why" and "where" has happened. Another reason why you could be here is that you would like to build an OpenStack CI/CD system that will allow you to improve SLA, performance and stability of OpenStack continuously.
The OpenStack QA team mostly works on CI/CD that ensures that new patches don't break some specific single node installation of OpenStack. On the other hand it's clear that such CI/CD is only an indication and does not cover all cases (e.g. if a cloud works well on a single node installation it doesn't mean that it will continue to do so on a 1k servers installation under high load as well). Rally aims to fix this and help us to answer the question "How does OpenStack work at scale?". To make it possible, we are going to automate and unify all steps that are required for benchmarking OpenStack at scale: multi-node OS deployment, verification, benchmarking & profiling.
Rally workflow can be visualized by the following diagram:
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:
- Server Providers - provide servers (virtual servers), with ssh access, in one L3 network.
- Deploy Engines - deploy OpenStack cloud on servers that are presented by Server Providers
- Verification - component that runs tempest (or another specific set of tests) against a deployed cloud, collects results & presents them in human readable form.
- Benchmark engine - allows to write parameterized benchmark scenarios & run them against the cloud.
Use Cases
There are 3 major high level Rally Use Cases:
Typical cases where Rally aims to help are:
- Automate measuring & profiling focused on how new code changes affect the OS 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.
Links
- Free software: Apache license
- Documentation: https://rally.readthedocs.org/en/latest/
- Source: https://git.openstack.org/cgit/openstack/rally
- Bugs: https://bugs.launchpad.net/rally
- Step-by-step tutorial: https://rally.readthedocs.io/en/latest/quick_start/tutorial.html
- RoadMap: https://docs.google.com/a/mirantis.com/spreadsheets/d/16DXpfbqvlzMFaqaXAcJsBzzpowb_XpymaK2aFY2gA2g
- Launchpad page: https://launchpad.net/rally
- Gitter chat: https://gitter.im/rally-dev/Lobby
- Trello board: https://trello.com/b/DoD8aeZy/rally