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Parallelize Tests For Efficient Ci/Cd Pipelines

Parallelize Tests For Efficient Ci/Cd Pipelines

Parallelize Tests For Efficient Ci/Cd Pipelines

Published 6/2023
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 604.53 MB | Duration: 1h 24m



Optimizing Test Efficiency: Harnessing Jest, GitHub Actions, and Parallelization for Lightning-Fast Test Suites

What you'll learn
A technique to parallelize tests using parallel jobs in Github Actions with Jest.
Learn how to use this technique with other testing frameworks and other CI platforms.
Learn the pros and cons of the technique and how to further improve the workflow.
Learn jq (a lightweight and flexible command-line JSON processor)

Requirements
Basic knowledge of jаvascript
Basic knowledge of testing
Basic knowledge of Github Actions
Basic knowledge of git
Linux, Mac or Windows Subsystem for Linux (WSL) is ALWAYS preferred (optional)
NVM (Node Version Manager) (optional)

Description
In today's fast-paced development environments, efficient testing is crucial to ensure the quality and reliability of software projects. This comprehensive course focuses on parallelizing tests using the powerful combination of Jest, a popular jаvascript testing framework, and GitHub Actions, a widely used Continuous Integration (CI) platform. However, the techniques and principles covered in this course are applicable to various testing frameworks and CI platforms.During this course, you will learn how to leverage parallelization to significantly speed up the execution of your test suite, allowing you to obtain faster feedback on the health of your codebase. You will gain hands-on experience with Jest, an industry-standard testing framework known for its simplicity and flexibility, and GitHub Actions, a versatile CI platform that seamlessly integrates with your repository on GitHub.Key Course Highlights:Understanding Parallelization: You will grasp the concepts behind parallelization and how it can improve the efficiency of your test suite. Explore the advantages of running tests in parallel, such as reduced execution time and increased scalability.Introduction to Jest: Dive into the fundamentals of Jest, a developer-friendly testing framework widely adopted for jаvascript projects. Learn how to write comprehensive test cases and utilize Jest's powerful features to validate your code's functionality.Configuring GitHub Actions: Discover how to set up GitHub Actions workflows to automate the execution of your test suite. Understand the benefits of leveraging GitHub Actions, such as seamless integration with GitHub repositories and flexible customization options.Parallelizing Tests with Jest: Master the techniques of parallelizing tests using Jest. Learn how to split your test suite into smaller, independent units and distribute them across multiple parallel jobsExtending to Other Testing Frameworks: Understand that the parallelization techniques covered in this course are not limited to Jest alone. Discover how to apply the same principles and strategies to other testing frameworks such as Mocha, Jasmine, or Pytest.Adapting to Different CI Platforms: Recognize that the concepts and practices taught in this course extend beyond GitHub Actions. Learn how to adapt the parallelization techniques to other popular CI platforms like Jenkins, CircleCI, or GitLab CI/CD.By the end of this course, you will be equipped with the knowledge and practical skills to significantly accelerate your test suite's execution time using parallelization techniques with Jest and GitHub Actions. Moreover, you will have the confidence to apply these principles to other testing frameworks and CI platforms, ensuring efficient testing in any software development workflow. Enroll now and optimize your testing process for faster, more reliable software delivery.

Overview
Section 1: Introduction

Lecture 1 Introduction

Lecture 2 Prerequisites

Section 2: Implementing the solution

Lecture 3 Project setup

Lecture 4 Understanding the solution

Lecture 5 Setting up the chunks part 1

Lecture 6 Setting up the chunks part 2

Lecture 7 Verifying the result on Github

Lecture 8 Improving the workflow

Lecture 9 Creating a pull request

Lecture 10 Further improvements

Lecture 11 The knapsack problem

Section 3: Conclusion

Lecture 12 Conclusion

Software Developers,DevOps

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