veyepar: Automate Your Integration Tests Using pytest-docker-compose

Author(s):	Phoenix Zerin
Location	Auditorium 2
Date	aug Sat 24	Days Raw Files
Start	16:20	First Raw Start	16:04
Duration	00:50:00	Offset	0:15:15
End	17:10	Last Raw End	17:22
Chapters	00:00 0:12:08
Total cuts_time	42 min.

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assets release.pdf automate_your_integration_tests_using_pytest_docker_compose.json
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"Sometimes unit tests aren't enough, and you need to actually deploy your solution to see how it behaves as a whole.  Utilities like docker-compose make it easy to stand up an entire environment, but the actual testing part still has to be done manually... or does it?

Learn how to automate your integration tests using pytest-docker-compose today! 😺"

"At Centrality I worked on the team building the PL^G blockchain.  We had comprehensive unit tests for every component, but some features could only be tested reliably by spinning up a group of nodes and broadcasting real transactions to the network.

We got really good at manually deploying a network, and we wrote some super slick tools to send test transactions.  But, the whole process was still embarrassingly manual.

Eventually I got sick of typing `docker-compose up` and wondered if there might be an easier way... and that was when I discovered that docker-compose is actually written in Python!

A few hours, lots of coffee, and just a smidgeon of cursing later... pytest-docker-compose was born!

And from that day on, no-one was ever forced to type `docker-compose up` again, and they lived happily ever after 😺

In this talk, you will learn:
- How to use Docker and docker-compose to quickly deploy a solution.
- How to use py.test to design and write automated unit tests.
- How to use the pytest-docker-compose plugin to create and run automated integration tests.
- Just how seriously I take my cat emojis 😻"

"Phoenix has been developing and architecting software applications for nearly 15 years, most notably completing a 5-year stint as a digital nomad in South America.

He has created or been a significant contributor to 25 open-source projects in active use, most notably PyOTA (the Python library for the IOTA cryptocurrency) and Filters (data validation and pipelines made easy!).

Also, he really like cat emojis.  A lot.  You've been warned 😸"

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