We're sorry but this page doesn't work properly without JavaScript enabled. Please enable it to continue.
Feedback

Argus - the omniscient CI

Formal Metadata

Title
Argus - the omniscient CI
Title of Series
Part Number
92
Number of Parts
173
Author
License
CC Attribution - NonCommercial - ShareAlike 3.0 Unported:
You are free to use, adapt and copy, distribute and transmit the work or content in adapted or unchanged form for any legal and non-commercial purpose as long as the work is attributed to the author in the manner specified by the author or licensor and the work or content is shared also in adapted form only under the conditions of this
Identifiers
Publisher
Release Date
Language
Production PlaceBilbao, Euskadi, Spain

Content Metadata

Subject Area
Genre
Abstract
Cosmin Poieana - Argus - the omniscient CI Bring the continuous integration to a new level, through a platform/project independent framework able to give you unittest-like reports. Argus is a scenario-based application written in Python, driven by custom recipes under configurable environments, that can be used for testing a wide variety of small and big projects, with the ability of querying live data from the in-test application. Until now, it's successfully used with [cloudbase-init] (a robust cloud initialization service for instances) under OpenStack and not only, due to its extensiveness and the ability to mimic different infrastructures. The goals of this talk are to show its generic scalability, how simple is to create such kind of recipes, the relationship between scenarios, introspection and tests and, but not last, the unlimited freedom of creating very custom aspects of these entities which lead to relevant and in-depth ready for analysis logs. There are no major prerequisites to understand it, just to be familiar with Python and optionally have a focus on cloud infrastructures.
Keywords