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"Elastic Kubernetes Service in Practice"
"Elastic Kubernetes Service in Practice" is a comprehensive guide designed to help engineers, architects, and DevOps professionals navigate the full lifecycle of Kubernetes workloads running on AWS. Beginning with an in-depth exploration of EKS fundamentals and architecture, the book establishes a strong foundation by demystifying the synergy between Kubernetes and AWS, covering everything from control plane operations to node group architectures, resource management, and secure IAM integration. Readers learn to harness AWS-native tools and best practices for scalable, secure, and compliant cluster management.
As the journey progresses, the book moves into advanced operational topics including cluster provisioning and automation, multi-cluster and multi-tenancy design, cost and performance optimization, and disaster recovery strategies. Chapters dedicated to networking, load balancing, and security provide actionable insights into VPC and CNI customization, ingress management, pod isolation, and runtime protection. In-depth coverage of storage architectures, observability, and centralized logging ensures that practitioners can build resilient, audited, and performant applications aligned with enterprise requirements.
The narrative further extends into modern workload patterns and delivery ecosystems, offering hands-on guidance for deployment best practices, CI/CD automation, GitOps, and integration with AWS-native services. "Elastic Kubernetes Service in Practice" concludes by examining emerging trends in serverless Kubernetes, hybrid cloud strategies, and machine learning at scale, empowering readers to confidently architect, secure, and operate EKS clusters in both present-day and future-ready AWS environments.
"Elastic Kubernetes Service in Practice" is a comprehensive guide designed to help engineers, architects, and DevOps professionals navigate the full lifecycle of Kubernetes workloads running on AWS. Beginning with an in-depth exploration of EKS fundamentals and architecture, the book establishes a strong foundation by demystifying the synergy between Kubernetes and AWS, covering everything from control plane operations to node group architectures, resource management, and secure IAM integration. Readers learn to harness AWS-native tools and best practices for scalable, secure, and compliant cluster management.
As the journey progresses, the book moves into advanced operational topics including cluster provisioning and automation, multi-cluster and multi-tenancy design, cost and performance optimization, and disaster recovery strategies. Chapters dedicated to networking, load balancing, and security provide actionable insights into VPC and CNI customization, ingress management, pod isolation, and runtime protection. In-depth coverage of storage architectures, observability, and centralized logging ensures that practitioners can build resilient, audited, and performant applications aligned with enterprise requirements.
The narrative further extends into modern workload patterns and delivery ecosystems, offering hands-on guidance for deployment best practices, CI/CD automation, GitOps, and integration with AWS-native services. "Elastic Kubernetes Service in Practice" concludes by examining emerging trends in serverless Kubernetes, hybrid cloud strategies, and machine learning at scale, empowering readers to confidently architect, secure, and operate EKS clusters in both present-day and future-ready AWS environments.
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