Topic – Intelligent Reliability Testing – Harnessing the power of Gen AI on Azure Cloud

Reliability testing is a crucial requirement in order to ensure software applications achieve optimum quality and performance. The growing complexity of modern applications and the shift to cloud infrastructure make traditional testing methods ineffective. The emergence of Artificial Intelligence opens up opportunities to create advanced methodologies that can effectively tackle this challenge. By harnessing the power of Generative AI, we can ensure efficient reliable testing of software on cloud platforms.

In this paper, we will explore how to leverage Generative AI in Azure cloud to enhance reliability testing for business applications. We will go through the following process to achieve our goal:

• Automated test scenario generation
• Predictive Analysis of application performance
• Potential Vulnerability Identification by leveraging intelligent fault injection
• Integrated evaluation and recommendations

Automated test scenario generation:

Gen AI can be utilized efficiently in generating test cases, data, and scenarios within an azure cloud-based platform. Using Azure pipelines, it streamlines the testing process by auto-generating test cases based on specific criteria and parameters. The significant role of Gen AI lies in its ability to enhance test case efficiency by constantly adapting to scalability changes. This ensures that scenarios are refined, resulting in maximum accuracy in test coverage. Furthermore, it facilitates increased collaboration among engineers, resulting in a greater number of innovations in the delivery lifecycle.