| CPC G06F 16/24564 (2019.01) [G06F 16/2358 (2019.01)] | 18 Claims |
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1. A method for automating cloud financial operations management optimizations by utilizing one or more processors along with allocated memory, the method comprising:
implementing a cloud financial operations management module;
establishing a communication link among the cloud financial operations management module, a plurality of infrastructure observability systems, and a plurality of Infrastructure as a Code (Iaac) systems of record via a communication interface;
triggering the cloud financial operations management module through events from the infrastructure observability systems on cloud financial operations management based metrics and alerts data identifying environments to be corrected associated with a cloud;
identifying, in response to triggering, IaaC code's originating code repository and related materials through corresponding systems of record;
implementing an Artificial Intelligence (AI) Large Language Model (LLM) to automatically generate new code specific to the environments to be corrected associated with the cloud based on predefined rules received from a rule database and code received from the originating code repository;
implementing a drift detection algorithm to detect changes between the new code and the code received from the originating code repository;
automatically generating a report corresponding to the drift;
determining whether an impact of implementing the detected changes based on the generated report in correcting the environments associated with the cloud on overall network environment is below, or equal to, or more than a preconfigured threshold value; and
automatically correcting, in response to determining the impact, the environments associated with the cloud by implementing the new code.
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