Platform engineering and service automation have become pivotal paradigms to operate complex digital infrastructures across domain-specific areas. Although widely used, the current frameworks do not have domain-specific orchestration of the heterogeneous needs of healthcare and smart enterprise environments. This paper proposes a unified domain-specific platform engineering framework (DS-PEF) that integrates microservices-based service automation, policy-based orchestration, and AI-assisted workflow management. The proposed framework is evaluated through two structured case studies: a healthcare integration platform supporting automated clinical workflows and a smart enterprise automation system supporting DevSecOps pipelines and intelligent resource allocation. The experimental evaluation uses the MIMIC-IV healthcare dataset and a synthetic enterprise operations benchmark containing more than 50,000 service transactions. Findings indicate that DS-PEF achieves 94.7% workflow automation accuracy, reduces workflow latency by 38.4% compared with traditional platforms, reaches a 96.2% policy compliance rate, and improves resource utilization efficiency by 41.3%. The framework is better than the current platforms such as Backstage, Crossplane and Port both in terms of throughput and fault-tolerance. These results affirm that platform engineering that is domain specific can significantly improve operational intelligence, compliance enforcement and scalability in mission critical environments.
Baba Prasad Pendyala, P. Praveen· 2026 6th International Confe...· 0 citations
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.
Baba Prasad Pendyala, P. Praveen· 2026 6th International Confe...· 0 citations