Any defects that arise in production have a risk of reputation; the software product needs to be tested thoroughly before deploying to the production environment. There are different levels of testing, such as unit testing, integration/API Testing, end-to-end testing, etc. When organizations follow multi-level testing, the defects can be reduced. This blog post discusses the best API testing tools available in the market.

For developers and QA engineers, Black Friday and Cyber Monday are a game of watching how much weight the ice can take before it cracks. Learn how uptime goes beyond performance testing, and what you can do to prepare for the worst. In the United States, Thanksgiving is right around the corner. For many of us, this serves as a chance to see family, play some football, and stuff ourselves with an unholy amount of food.

Improve how you stay up-to-date on the latest browser drivers. With shorter release cycles, it can be difficult to keep drivers in sync with browser versions. Selenium Manager automatically configures the browser drivers for Chrome, Firefox, and Edge.

APIs facilitate communication and both-way data trafficking between disparate software systems. API testing validates that these APIs are functional, reliable, secure, and perform optimally. Before going for types and advantages of API testing, let’s first understand API testing and why it matters. This comprehensive guide will teach you all about API testing. Besides, we’d uncover one of the best automated API testing tools available in the market. Table Of Contents.

At ground level, simulation imitates a process or a system through a model. These models are usually software-based and represent the key characteristics of the chosen system you want to imitate. As a result, the simulation collectively represents how the system evolves with respect to various scenarios and times. From testing your apps for one operating system on another to creating a virtual reality environment for learning how to drive a car – simulations are used in numerous use cases.

Artificial Intelligence (AI) is revolutionizing the way healthcare is delivered today. The industry’s data-driven evidential approach to medicine combined with AI is set to transform both the practice of medicine and how the treatment is delivered. AI is already being used to reinvent how people manage their health and access care, automate care delivery plans, and help with tedious tasks.