Abstract
Keywords: Cloud Computing, Infrastructure as Code, Multi-Agent Systems, Natural Language Processing, Autonomous Orchestration, Shadow Infrastructure, Canonical Documentation.
Abstract
Managing and modifying infrastructure, especially when systems have been manually configured or have drifted from their original Infrastructure-as-Code (IaC) definitions, is complex, risky, and expensive. This situation can result in a fragmented understanding of the infrastructure's actual state, a loss of institutional knowledge, and increased manual operational burden, leading to fragility and availability risks. To address this, a multi-agent system implements an Infrastructure-as-Narrative (IaN) paradigm. Autonomous agents discover the current infrastructure and document its state in a high-level, human-readable Canonical Infrastructure Document (CID). Other agents then translate this narrative intent into executable IaC configurations, enforcing deterministic outcomes and safety constraints. These configurations are validated in high-fidelity shadow environments, where end-to-end functional and security tests are performed, and verification ensures changes are reversible and align with production reality. Humans interact with the system by editing the CID to initiate desired infrastructure modifications. This model reduces the cost and risk associated with infrastructure drift and migrations by providing a human-readable specification and automated validation loop.
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Recommended Citation
N/A, "Autonomous Infrastructure Orchestration via Natural Language Narratives", Technical Disclosure Commons, ()
https://www.tdcommons.org/dpubs_series/10373