Prompt Based Complete Automated Multi–Cloud Service Management

Abstract

This study discovered that the application of manual scripting method is a massive issue as far as managing multi-cloud architecture is concerned in the contemporary cloud. The proposed solution to these issues in this paper consists of a new intelligent automation solution by combining Terraform and Large Language Models. With the strategy, it becomes much easier to manage Infrastructure-as-Code across multiple clouds. On this platform, you can just need to create, query, and visualize cloud infrastructure using natural language instructions, which connects to major cloud providers such as Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP).It is supported in three key ways: Prompt and terraform-compatible infrastructure provisioning code generation; Terraform State Visualization plain-English table modeling of deployed infrastructure; and Multi-Cloud Resource Output Extraction easily available resource data extraction with simple Terraform installations. Research indicates that this technology will be able to automate end-to-end Infrastructure as a Code operation that can radically reduce the provisioning time. This time saving could be fifteen to twenty minutes or less than a minute depending on the complexity of the service. Besides its ease of use, the system emphasizes on security with the capabilities such as minimal-privilege execution and isolation of environments. This smart automation system will make the cloud easier to operate by non-expert users and act as an AI-based tool base in the future of the DevOps environment [4].