We expect software to work. Slow mobile apps and buggy website functionality are unacceptable, given that two-thirds of us do our banking from a mobile app and a quarter of the workforce logs in from their home office. Low-quality, poorly designed software can undermine operational efficiency, create security vulnerabilities, and contribute to customer attrition.

Why should you invest in software testing? And if you’ve already invested heavily in your testing program, why should you invest in modernizing your current practices and tools? If these are questions you’ve heard or asked yourself, take a cue from your peers, Gartner, and the World Quality Report. When you modernize your testing, you make it easier for IT staff and business stakeholders to collaborate in ways that lead to faster software delivery and better business outcomes.

Today it’s not unusual to see organizations having implemented mocking in their daily workflow, as mock APIs allow developers to speed up their development and not rely on external services. For those reasons and others, many engineers are looking to learn more about the mocked APIs and how they can best be implemented into their organization.

This has been the center of countless dialogues and debates for decades now. Some believe that institutionalizing innovation means conducting hackathons, investing in research and startups and promoting open office seating, and so on. Others say that innovation is about investing in new technologies like Artificial Intelligence (AI), Machine Learning (ML), Blockchain, Intelligent Automation, or embracing new business models.

The COVID-19 pandemic has changed how businesses in all industries and geographical areas conduct their business for years. A recent McKinsey Global Survey of executives revealed that organizations had sped up the digitalization of their internal processes and supply-chain interactions by three to four years. Additionally, their portfolios’ proportion of digital or digitally enabled items has increased startlingly by seven years.

Automating your test suite helps get your code to production faster. In this tutorial, you'll learn how to write unit tests for Django and run them with GitHub Actions.