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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…mehr

Produktbeschreibung
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.
Autorenporträt
Pavan Srikanth Patchamatla is a highly accomplished Deployment Engineer with over eight years of experience in Cloud Computing, DevOps Automation, AI/ML workflows, and Kubernetes. Currently contributing his expertise at AT&T, he specializes in managing and deploying microservices in cloud environments.