Master cloud-native Pytest techniques in this comprehensive 2-hour 39-minute tutorial. Explore key testing concepts, terminology, and DevOps principles before diving into hands-on setup of GitHub, Codespaces, and AWS environments. Learn to create Makefiles, configure matrix testing, and implement CI/CD pipelines with GitHub Actions. Discover how to refactor Python projects, set up test coverage, and leverage Pytest features like search expressions and test marking. Delve into advanced topics such as profiling test speed, distributed testing with xdist, and scaling tests on high-performance cloud environments. Conclude by setting up cloud-native AWS CodeBuild testing for efficient, distributed test execution.
Cloud-Native Pytest Tips and Tricks from Ground Zero
Overview
Syllabus
Intro
Key Concepts in Testing
Key Testing Terminology
Kazien equals DevOps
Setup Github
Setup Github Codespaces
Explaining Python pip freeze
Create Makefile
Pin requirements.txt
Cloud development environment concepts: AWS Cloud9 to Github Codespaces
Setup Github Actions
Configuring Matrix testing of Python
Building simple Python scripts as part of CI/CD and linting them with Pylint
Setup AWS CloudShell for CI/CD
Adding Python 3.7, 3.8, 3.9 and 3.10 to Matrix testing
Setup AWS Cloud9
Refactoring Python project to include testing directory and library directory
Setup Python Test Coverage
Adding Pytest to Github Actions YAML file
Creating Python library file that searches wikipedia and tests it
Adding Python Fire command-line tool
Running Pytests by search expression
Running Pytests by specifying tests
Marking tests in Pytest and avoiding slow tests
Profiling testing speed using Pytest
Doing distributed testing with xdist to spread tests to multiple cores
Created distributed testing group to distribute to multiple cores
Setup 32 Core 60GB RAM Cloud9 Machine to run massively parallel Pytests
Running distributed testing that doubles the speed of the tests
Setup Cloud-Native AWS Code Build testing with buildspec.yml that does distributed testing to 8 Core Build client
Taught by
Pragmatic AI Labs
