Platform Automation Strategies for Scalable Enterprise Software Delivery in Public Clouds

Abstract

Enterprise public cloud adoption requires scalable, resilient, governance-compliant software. Traditional corporate delivery approaches struggle with multi-cloud and hybrid cloud systems' dynamic scalability and operational complexity due to manual orchestration, fragmented tools, and inflexible governance rules. Legacy techniques hinder release cycles, enforce compliance inconsistently, and raise operational risk. Policy-driven orchestration, infrastructure abstraction, continuous compliance validation, and self-service deployment paradigms are used to build platform automation systems that accelerate corporate software delivery while maintaining dependability and governance integrity. This article describes an automated maturity model, contextual policy enforcement, and adaptive reliability engineering for large cloud-native ecosystems. Automation-driven operational resilience analysis, governance-aware delivery pipeline review, and layered platform automation contributed. This study may enhance complicated public cloud infrastructure delivery, security, overhead, and developer productivity.