Intelligent Cloud-Native Enterprise Platforms: AI-Driven Software Engineering, Serverless Architectures, and Workflow Automation

Abstract

Intelligent Cloud-Native Enterprise Platforms: AI-Driven Software Engineering, Serverless Architectures, and Workflow Automation offers a comprehensive academic exploration and practical perspective on the technologies and engineering principles shaping intelligent enterprise computing. It establishes foundations through the evolution of enterprise systems, cloud service and deployment models, cloud-native principles, distributed systems, platform engineering and digital transformation, while examining AI-driven software ecosystems and emerging challenges. The book progresses into large-scale distributed architectures, microservices, distributed data, resilience, messaging, event streaming, scalability, multi-cloud environments and infrastructure automation. Event-driven and serverless architectures are examined through brokers, queues, Function-as-a-Service, workflow orchestration, observability, security and governance. Subscription and entitlement platforms receive detailed attention through lifecycle management, pricing, billing, access control, analytics and AI-driven optimisation. Further coverage addresses AI across software engineering, including requirements, architecture, code generation, testing, defect management, DevOps and responsible AI. Intelligent workflow automation, process orchestration, robotic process automation, multi-agent systems and enterprise integration are explored alongside cloud-native application development, Kubernetes, CI/CD, security, resilience and modernisation. The concluding discussions examine AI-assisted developer productivity, AIOps, FinOps, digital twins, self-healing platforms, agentic AI and the roadmap towards autonomous enterprise computing for contemporary digital enterprise environments worldwide.