Cloud Security and Ai-Driven DevOps: Next-Generation Software Engineering - Tapa dura

Sinopsis

Cloud Security and AI-Driven DevOps: Next-Generation Software Engineering offers an in-depth exploration of how artificial intelligence, cloud architecture, and DevSecOps are reshaping the foundations of modern software engineering. Written for developers, DevOps professionals, cybersecurity experts, and technology leaders, this book presents a comprehensive look at the strategies, tools, and cultural shifts necessary to build secure, scalable, and intelligent cloud-based systems.

Spanning ten chapters, the book begins with the evolution of software engineering in the cloud era, tracing the shift from traditional infrastructures to dynamic, AI-powered delivery models. It breaks down the key components of cloud infrastructure-such as IaaS, PaaS, and SaaS-and examines the implications of security in public and private environments. A strong emphasis is placed on the DevSecOps model, which integrates security seamlessly into Agile and CI/CD workflows through intelligent automation and threat modeling.

Throughout the book, readers will discover how machine learning enhances software delivery, optimizes testing pipelines, and improves incident response. Real-world case studies provide practical insights into enterprise DevOps at scale, while detailed sections cover advanced topics such as zero trust architectures, identity-based attack mitigation, and AI-supported security operations.

Chapters also delve into the human and organizational side of DevSecOps, including upskilling, culture change, and cross-functional collaboration. The final chapter looks forward to emerging trends such as serverless models, quantum-safe encryption, and sustainable engineering practices.

This book equips readers with the technical knowledge, strategic frameworks, and forward-thinking mindset required to thrive in the evolving landscape of software engineering. Whether you are leading cloud transformation or architecting AI-integrated systems, the content within serves as both a guide and a blueprint for engineering innovation in the digital age.

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