Elastic Kubernetes Service In Practice


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Elastic Kubernetes Service in Practice


Elastic Kubernetes Service in Practice

Author: Richard Johnson

language: en

Publisher: HiTeX Press

Release Date: 2025-05-29


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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.

Kubernetes in Production Best Practices


Kubernetes in Production Best Practices

Author: Aly Saleh

language: en

Publisher: Packt Publishing Ltd

Release Date: 2021-03-12


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Design, build, and operate scalable and reliable Kubernetes infrastructure for production Key FeaturesImplement industry best practices to build and manage production-grade Kubernetes infrastructureLearn how to architect scalable Kubernetes clusters, harden container security, and fine-tune resource managementUnderstand, manage, and operate complex business workloads confidentlyBook Description Although out-of-the-box solutions can help you to get a cluster up and running quickly, running a Kubernetes cluster that is optimized for production workloads is a challenge, especially for users with basic or intermediate knowledge. With detailed coverage of cloud industry standards and best practices for achieving scalability, availability, operational excellence, and cost optimization, this Kubernetes book is a blueprint for managing applications and services in production. You'll discover the most common way to deploy and operate Kubernetes clusters, which is to use a public cloud-managed service from AWS, Azure, or Google Cloud Platform (GCP). This book explores Amazon Elastic Kubernetes Service (Amazon EKS), the AWS-managed version of Kubernetes, for working through practical exercises. As you get to grips with implementation details specific to AWS and EKS, you'll understand the design concepts, implementation best practices, and configuration applicable to other cloud-managed services. Throughout the book, you'll also discover standard and cloud-agnostic tools, such as Terraform and Ansible, for provisioning and configuring infrastructure. By the end of this book, you'll be able to leverage Kubernetes to operate and manage your production environments confidently. What you will learnExplore different infrastructure architectures for Kubernetes deploymentImplement optimal open source and commercial storage management solutionsApply best practices for provisioning and configuring Kubernetes clusters, including infrastructure as code (IaC) and configuration as code (CAC)Configure the cluster networking plugin and core networking components to get the best out of themSecure your Kubernetes environment using the latest tools and best practicesDeploy core observability stacks, such as monitoring and logging, to fine-tune your infrastructureWho this book is for This book is for cloud infrastructure experts, DevOps engineers, site reliability engineers, and engineering managers looking to design and operate Kubernetes infrastructure for production. Basic knowledge of Kubernetes, Terraform, Ansible, Linux, and AWS is needed to get the most out of this book.

Kubernetes Best Practices


Kubernetes Best Practices

Author: Brendan Burns

language: en

Publisher: "O'Reilly Media, Inc."

Release Date: 2023-10-05


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In this practical guide, four Kubernetes professionals with deep experience in distributed systems, enterprise application development, and open source will guide you through the process of building applications with this container orchestration system. They distill decades of experience from companies that are successfully running Kubernetes in production and provide concrete code examples to back the methods presented in this book. Revised to cover all the latest Kubernetes features, new tooling, and deprecations, this book is ideal for those who are familiar with basic Kubernetes concepts but want to get up to speed on the latest best practices. You'll learn exactly what you need to know to build your best app with Kubernetes the first time. Set up and develop applications in Kubernetes Learn patterns for monitoring, securing your systems, and managing upgrades, rollouts, and rollbacks Integrate services and legacy applications and develop higher-level platforms on top of Kubernetes Run machine learning workloads in Kubernetes Ensure pod and container security Understand issues that have become increasingly critical to the successful implementation of Kubernetes, such as chaos engineering/testing, GitOps, service mesh, and observability