Systems | Development | Analytics | API | Testing

In today's fast-paced business world, the only constant is change, and nowhere is this more evident than in the realm of digital transformation. According to a report by Harvard Business Review, 84% of organizations believe that digital transformation has already disrupted their industry, highlighting the urgency for businesses to adapt or risk being left behind. With new advancements in digital practices like AI, automation, and cloud computing, keeping pace is essential for survival.

Version 15 of OctoPerf bring a huge focus on continuous integration and Devops practices. We've taken steps to highlight existing integrations, add many others and we've thrown an entirely new report type on top of it.

Increasingly digital consumption of products and services, along with the shift to remote work and education, have significantly affected how software is developed and tested. According to Deloitte’s “2023 Quality Engineering Trends” report, “new technologies” is still the top factor driving testing spend.

There’s an interesting term in agriculture called the pesticide paradox. When a pesky insect infestation is threatening a farmer’s hard-earned harvest, he sprays the crop with pesticide, killing (most of) them in an instant. What a glorious win of man against nature! But there’s a catch: the tiny percentage of those insects which fortunately survive will develop a natural resistance to the pesticide.

We are humans, and humans sometimes make mistakes. We make hundreds of decisions on a daily basis, and sometimes those decisions are not entirely based on rationality, but on cognitive biases. Anyone, including testers, can be subjected to the trappings of cognitive biases. Those biases are the result of years of evolutionary adaptation, and they allow us to make quick judgements (we all want to survive). However, they usually aren't the best judgements.

API testing is critical to modern software development, ensuring that applications communicate seamlessly and function as expected. However, setting up testing environments that accurately mimic real-world conditions can be complex, time-consuming, and costly. APIs often change, and dependencies on third-party services or backend systems can delay the development process, making it challenging to conduct reliable tests in real-time.