automated

Linkedin Learning – Test Automation with Python 1 Introduction to Automated Testing

Linkedin Learning – Test Automation with Python 1 Introduction to Automated Testing-XQZT
English | Size: 51.43 MB
Category: Python


The Test Automation with Python series from Headspin University is designed to teach automation skills and tools for testing applications in Appium and Selenium, the world’s most popular UI automation tools.

Linkedin Learning – Java Automated API Testing with REST Assured

Linkedin Learning – Java Automated API Testing with REST Assured-XQZT
English | Size: 253.17 MB
Category: Tutorial


Learn how to automate testing of their APIs using REST Assured, a popular open-source Java library that makes it easy to write automated API test

PacktPub – Automated Software Testing with Python [Video]

[FreeCoursesOnline.Me] PacktPub – Automated Software Testing with Python [Video]
English | Size: 3.66 GB
Category: Tutorial


Welcome to the most comprehensive course on automated software testing with Python. Software testing is an essential skill for any developer, and this course will help you truly understand all types of test automation with Python.

Pluralsight – Integrating Docker with DevOps automated Workflows(ISO)

Pluralsight – Integrating Docker with DevOps automated Workflows(ISO)
English | Size: 174.17 MB
Category: Tutorial


This course walks through the process of integrating a Dockerized app with DevOps style automated workflows. A small node.js web app (and small test) will be uploaded and tracked on GitHub. GitHub will be configured to inform the CircleCI platform whenever code updates are committed and pushed. CircleCI will perform test builds. Upon successful test builds, CircleCI will inform Docker Hub, which in turn will trigger a new Automated Build and inform the Tutum container platform. Tutum will then pull the new Docker image and deploy it as a container on the Amazon Web Service platform. The entire end-to-end workflow will be described and implemented in extensive demos, as well as demonstrating bugs in the app code and pushing fixes to production.