Generative AI for Cloud Infrastructure Automation
DOI:
https://doi.org/10.63282/3050-9262.IJAIDSML-V1I3P103Keywords:
Generative Artificial Intelligence, Cloud Automation, Infrastructure-as-Code (IaC), DevOps, Machine Learning, Configuration Management, CI/CD Pipelines, Natural Language Processing, Autonomous Infrastructure, Cloud ComputingAbstract
Artificial Intelligence (AI) is taking the cloud infrastructure management world by storm with its power to automate, configure, and optimize in the most advanced ways. As cloud technology is increasingly cloud-native, a complex infrastructure is required to scale, and this requires a distributed resource provisioning, configuration drift, and failure recovery to enable scaling. The generative AI models that have been trained on infrastructure-as-code (IaC), monitoring logs, and performance metrics have the ability to generate actionable scripts, predict failures, and generate system configurations that can adapt in real time to workload demands. In this paper, we explore how generative AI is democratising cloud operations through embedding intelligence into the automation pipelines. It shows how machine learning models can be integrated with automation techniques using existing automation techniques and replace rule based systems. On the other hand, the research concerns generative models' ability to generate infrastructure code, monitor the system behaviour and give autoscale policy. By synthesizing a framework and means for future AI powered cloud platforms from the pre 2019 foundational research in AI, cloud automation, and DevOps, the study provides a means to integrate techniques and approaches found in these three fields to enable high quality cloud automation and deployment of AI services at will, building upon and going beyond the currently available offerings. Finally, the paper discusses what will generative AI mean to achieve autonomous infrastructure management, lowering operational overhead, and having regular service delivery to heterogeneous environments
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