Enabling Rapid Application Development through Reusable Cloud Process Orchestration and Workflow Automation Frameworks

Abstract

Cloud-native applications increasingly depend on process orchestration and workflow automation frameworks to enable rapid, scalable, and resilient development practices. This review provides a comprehensive examination of reusable orchestration patterns and automation frameworks, highlighting their application in modern software delivery pipelines. We present a theoretical model for workflow composition and execution, supported by empirical benchmarks from tools like Zeebe, Argo, Apache Airflow, and AWS Step Functions. Key benefits include reduced development time, improved concurrency handling, and enhanced observability. The review concludes with a discussion on future research directions, including AI-driven workflow optimization, federated orchestration, and low-code platform evolution.