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Research Paper | Information Technology | United States of America | Volume 12 Issue 2, February 2023 | Popularity: 4.9 / 10
Exploring the Integration of Azure LLMs, Serverless Computing, and DevOps: Advancing Paradigms in API Design and Automated Testing
Sri Rama Chandra Charan Teja Tadi
Abstract: The fusion of new technologies like Azure's language models, serverless computing, and DevOps practices is redefining how developers organize APIs and automate testing, delivering fresh solutions to old problems. Although large language models are in their early days, it increasingly appears that they will revolutionize the natural language processing abilities of APIs. This confluence of technologies, although not yet entirely there, can hopefully put an end to the age-old challenges of software engineering, including making the interfaces more intuitive and simpler to create. Serverless computing, which has garnered considerable attention in recent years, inherently fits into the bursty and compute-intensive nature of language model processing. Through serverless architectures, businesses can try out the use of language models within their applications without worrying about the complexity of elaborate infrastructure. This confluence not only maximizes the use of resources but also provides advanced language processing capability to smaller teams and startups as well as big corporations, at their fingertips. The integration of DevOps practices within this new tech trinity creates a turning point axis, both as a catalyst and a unifier. This type of alignment can be thought of as a "Continuous Adaptive Development" (CAD) process, wherein the classic DevOps cycle is supplemented with AI-driven intelligence and serverless responsiveness. Besides this, the CAD model also suggests that as serverless architecture and language models are developing, in the same way, the DevOps practices that form them should develop, forming an interdependent equation that urges constant improvement in the three concepts. This theoretical framework stipulates that organizations embracing the CAD approach will, besides realizing more development agility and system reliability, experience a paradigm shift in how they think and manage the software development lifecycle of an AI-fueled, serverless era.
Keywords: language models, serverless computing, DevOps practices, Continuous Adaptive Development, API automation
Edition: Volume 12 Issue 2, February 2023
Pages: 1791 - 1797
DOI: https://www.doi.org/10.21275/SR230212120514
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