A Unified Framework for Platform Engineering and Service Automation in Enterprise Cloud Architecture

Abstract

Enterprise cloud environments increasingly require scalable, automated, and self-healing platform operations that can support heterogeneous workloads with minimal manual intervention. Existing platform engineering practices remain fragmented across separate provisioning tools, developer portals, policy engines, service meshes, and observability stacks, which increases operational complexity and cognitive load for platform teams. This paper presents the Unified Framework for Platform Engineering and Service Automation (UFPESA), a vendor-neutral architecture that integrates an Internal Developer Platform (IDP), policy-as-code automation, service-mesh governance, telemetry-driven feature extraction, and automated decision support within a Kubernetes-native control plane. The framework normalizes infrastructure intent from YAML, Terraform, and OpenAPI artifacts into an intermediate representation, extracts structural and temporal features, fuses telemetry through contextual attention, and enforces ranked policy actions through Open Policy Agent and admission-control workflows. Evaluation was conducted using three enterprise benchmark settings: CNCF-2023 deployment records, GSROD incident-deployment pairs, and SWSD-2024 synthetic workload scenarios. The results show a 34.7% reduction in mean time to deployment, a 41.2% improvement in infrastructure utilization efficiency, 96.3% policy compliance accuracy, and a 28.9% decrease in incident escalation frequency. These findings demonstrate that UFPESA improves deployment efficiency, compliance consistency, and operational reliability while retaining practical applicability across heterogeneous multi-cloud environments.