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

System Testing with pytest and docker-py

Formale Metadaten

Titel
System Testing with pytest and docker-py
Serientitel
Teil
134
Anzahl der Teile
169
Autor
Lizenz
CC-Namensnennung - keine kommerzielle Nutzung - Weitergabe unter gleichen Bedingungen 3.0 Unported:
Sie dürfen das Werk bzw. den Inhalt zu jedem legalen und nicht-kommerziellen Zweck nutzen, verändern und in unveränderter oder veränderter Form vervielfältigen, verbreiten und öffentlich zugänglich machen, sofern Sie den Namen des Autors/Rechteinhabers in der von ihm festgelegten Weise nennen und das Werk bzw. diesen Inhalt auch in veränderter Form nur unter den Bedingungen dieser Lizenz weitergeben
Identifikatoren
Herausgeber
Erscheinungsjahr
Sprache

Inhaltliche Metadaten

Fachgebiet
Genre
Abstract
Christie Wilson/Michael Tom-Wing - System Testing with pytest and docker-py System tests are an invaluable tool for verifying correctness of large scale online services. This talk will discuss best practices and tooling (pytest and docker-py) for writing maintainable system tests. Demonware has used System tests to verify online services for some of the biggest AAA video game launches as well as internal operational tools. Many folks who write software are familiar with unit testing, but far fewer with system testing. ----- System testing a microservice architecture is challenging. As we move away from monolithic architectures, system testing becomes more important but also more complicated. In the video game industry, if a game doesn’t work properly immediately after launch, it will heavily impact game success. We have found system testing to be an important tool for pre launch testing of game services and operational tools, to guarantee quality of these services at launch. We want to share with you best practices for system testing: when to write system tests, what to test and what not to, and common pitfalls to avoid. Using python’s pytest tool and docker-py for setting up services and their dependencies has made it easier than ever to write complex but maintainable system tests and we’ll share with you how we’ve made use of them. Developers (senior and junior) and ops folks can walk away from this talk with practical tips they can use to apply system testing to their software.