Description:
Platform Engineering: Concepts, Challenges and Applications
Stay at the leading edge of modern infrastructure with this definitive guide to integrating AI, blockchain, and cloud-native methodologies into robust and secure software platforms.
As enterprises across industries adopt cloud-native technologies, DevOps practices, AI-driven tools, and secure infrastructure models, platform engineering has become essential to streamlining development workflows, enhancing developer experience, and improving operational efficiency. This book is a comprehensive and timely exploration of the emerging discipline that is redefining how modern software systems are designed, developed, deployed, and scaled.
This edited volume brings together contributions from leading researchers and practitioners to offer a rich blend of theoretical foundations, design strategies, implementation methodologies, and real-world use cases. Covering a wide array of topics--from developer productivity, scalable platform design, and DevOps transformation to advanced technologies like deep learning, reinforcement learning, blockchain, and IoT--the book addresses both the opportunities and challenges involved in building robust, reusable, and secure software platforms. By presenting a structured and insightful view into this rapidly growing field, the book not only serves as a reference guide but also as a source of inspiration for innovation in platform design and deployment across diverse sectors.
Audience
Software engineers, DevOps specialists, platform engineers, cloud architects, security experts, technology leaders, and data scientists mastering modern software delivery, leveraging artificial intelligence and machine learning for building scalable and secure systems.