Trend 2: Artificial Intelligence in Testing

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Top 5 Trends in Cloud Software Testing
07.12.2023
In the dynamic world of software development, the testing field is rapidly evolving to meet the ever-changing demands of technology and business. The advent of cloud-native applications and Kubernetes has accelerated this evolution even further, leading to the emergence of innovative testing frameworks, writes Bruno Lopes, Product Manager at Testkube (Kubeshop) on The New Stack.

Below are five key trends that I see shaping the current state and future of testing in a Kubernetes-dominated environment.

Trend 1: Shift-left testing
The concept of “shift-left” testing is gaining traction. This approach involves integrating testing earlier in the development cycle and increasing its frequency, ensuring that testing is not just an end-of-life spain mobile database but an ongoing process. The goal is to identify and fix problems earlier, reducing the cost and effort of fixing them.

AI is becoming more widespread in the cloud native space, including software testing. As AI becomes more sophisticated, its use in testing is moving from a novel idea to a practical necessity. Companies are increasingly branding themselves with AI capabilities, reflecting the shift to smarter and more efficient testing methodologies.

Trend 3: Focus on Security Testing
As digital threats become more sophisticated, security testing is increasingly becoming a focus, especially among large enterprises. This trend is to integrate security protocols early in development. Tools that perform SAST (Static Application Security Testing) and DAST (Dynamic Application Security Testing) are becoming a staple in testing workflows.