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This title is printed to order. This book may have been self-published. If so, we cannot guarantee the quality of the content. In the main most books will have gone through the editing process however some may not. We therefore suggest that you be aware of this before ordering this book. If in doubt check either the author or publisher’s details as we are unable to accept any returns unless they are faulty. Please contact us if you have any questions.
Mastering DevOps: Kubernetes Infrastructure Automation and AI-Driven Cloud Engineering provides a deep dive into modern DevOps practices, emphasizing Kubernetes for cloud-native development. The book covers Kubernetes fundamentals, Infrastructure as Code (IaC), cluster deployment, and CI/CD automation. It explores key aspects like monitoring, security best practices, and AI-driven optimizations, including intelligent autoscaling and self-healing mechanisms. Readers will gain insights into hybrid and multi-cloud architectures, edge computing integration, and the future of Kubernetes with AI enhancements. Designed for DevOps engineers, cloud architects, and AI practitioners, this book serves as a comprehensive guide to automating infrastructure and leveraging AI for smarter cloud engineering.
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This title is printed to order. This book may have been self-published. If so, we cannot guarantee the quality of the content. In the main most books will have gone through the editing process however some may not. We therefore suggest that you be aware of this before ordering this book. If in doubt check either the author or publisher’s details as we are unable to accept any returns unless they are faulty. Please contact us if you have any questions.
Mastering DevOps: Kubernetes Infrastructure Automation and AI-Driven Cloud Engineering provides a deep dive into modern DevOps practices, emphasizing Kubernetes for cloud-native development. The book covers Kubernetes fundamentals, Infrastructure as Code (IaC), cluster deployment, and CI/CD automation. It explores key aspects like monitoring, security best practices, and AI-driven optimizations, including intelligent autoscaling and self-healing mechanisms. Readers will gain insights into hybrid and multi-cloud architectures, edge computing integration, and the future of Kubernetes with AI enhancements. Designed for DevOps engineers, cloud architects, and AI practitioners, this book serves as a comprehensive guide to automating infrastructure and leveraging AI for smarter cloud engineering.