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DevOps with Kubernetes : accelerating software delivery with container orchestrators /
Learn to implement DevOps using Docker & Kubernetes. About This Book Learning DevOps, container, and Kubernetes within one book. Leverage Kubernetes as a platform to deploy, scale, and run containers efficiently. A practical guide towards container management and orchestration Who This Book Is F...
| Clasificación: | Libro Electrónico |
|---|---|
| Autores principales: | , , |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Birmingham, UK :
Packt Publishing,
2017.
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| Temas: | |
| Acceso en línea: | Texto completo (Requiere registro previo con correo institucional) |
MARC
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| 245 | 1 | 0 | |a DevOps with Kubernetes : |b accelerating software delivery with container orchestrators / |c Hideto Saito, Hui-Chuan Chloe Lee, Cheng-Yang Wu. |
| 264 | 1 | |a Birmingham, UK : |b Packt Publishing, |c 2017. | |
| 300 | |a 1 online resource (1 volume) : |b illustrations | ||
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| 588 | 0 | |a Online resource; title from title page (Safari, viewed November 14, 2017). | |
| 505 | 0 | |a Cover; Title Page; Copyright; Credits; About the Authors; About the Reviewer; www.PacktPub.com; Customer Feedback; Table of Contents; Preface; Chapter 1: Introduction to DevOps; Software delivery challenges; Waterfall and physical delivery; Agile and electrical delivery; Software delivery on the cloud; Continuous Integration; Continuous Delivery; Configuration management; Infrastructure as code; Orchestration; Trend of microservices; Modular programming; Package management; MVC design pattern; Monolithic application; Remote Procedure Call; RESTful design; Microservices; Automation and tools. | |
| 505 | 8 | |a Continuous Integration toolContinuous Delivery tool; Monitoring and logging tool; Communication tool; Public cloud; Summary; Chapter 2: DevOps with Container; Understanding container; Resource isolation; Linux container concept; Containerized delivery; Getting started with container; Installing Docker for Ubuntu; Installing Docker for CentOS; Installing Docker for macOS; Container life cycle; Docker basics; Layer, image, container, and volume; Distributing images; Connect containers; Working with Dockerfile; Writing your first Dockerfile; Dockerfile syntax; Organizing a Dockerfile. | |
| 505 | 8 | |a Multi-containers orchestrationPiling up containers; Docker Compose overview; Composing containers; Summary; Chapter 3: Getting Started with Kubernetes; Understanding Kubernetes; Kubernetes components; Master components; API server (kube-apiserver); Controller Manager (kube-controller-manager); etcd; Scheduler (kube-scheduler); Node components; Kubelet; Proxy (kube-proxy); Docker; Interaction between Kubernetes master and nodes; Getting started with Kubernetes; Preparing the environment; kubectl; Kubernetes resources; Kubernetes objects; Namespace; Name; Label and selector; Annotation; Pods. | |
| 505 | 8 | |a ReplicaSet (RS) and ReplicationController (RC)Deployments; Services; Volumes; Secrets; ConfigMap; Using ConfigMap via volume; Using ConfigMap via environment variables; Multi-containers orchestration; Summary; Chapter 4: Working with Storage and Resources; Kubernetes volume management; Container volume lifecycle; Sharing volume between containers within a pod; Stateless and stateful applications; Kubernetes Persistent Volume and dynamic provisioning; Persistent Volume claiming the abstraction layer; Dynamic Provisioning and StorageClass; A problem case of ephemeral and persistent setting. | |
| 505 | 8 | |a Replicating pods with a Persistent Volume using StatefulSetPersistent Volume example; Elasticsearch cluster scenario; Elasticsearch master node; Elasticsearch master-eligible node; Elasticsearch data node; Elasticsearch coordinating node; Kubernetes resource management; Resource Quality of Service; Configuring the BestEffort pod; Configuring as the Guaranteed pod; Configuring as Burstable pod; Monitoring resource usage; Summary; Chapter 5: Network and Security; Kubernetes networking; Docker networking; Container-to-container communications; Pod-to-pod communications. | |
| 520 | |a Learn to implement DevOps using Docker & Kubernetes. About This Book Learning DevOps, container, and Kubernetes within one book. Leverage Kubernetes as a platform to deploy, scale, and run containers efficiently. A practical guide towards container management and orchestration Who This Book Is For This book is targeted for anyone, who wants to learn containerization and clustering in a practical way using Kubernetes. No prerequisite skills required, however, essential DevOps skill and public/private Cloud knowledge will accelerate the reading speed. If you're advanced readers, you can also get a deeper understanding of all the tools and technique described in the book. What You Will Learn Learn fundamental and advanced DevOps skills and tools Get a comprehensive understanding for container Learn how to move your application to container world Learn how to manipulate your application by Kubernetes Learn how to work with Kubernetes in popular public cloud Improve time to market with Kubernetes and Continuous Delivery Learn how to monitor, log, and troubleshoot your application with Kubernetes In Detail Containerization is said to be the best way to implement DevOps. Google developed Kubernetes, which orchestrates containers efficiently and is considered the frontrunner in container orchestration. Kubernetes is an orchestrator that creates and manages your containers on clusters of servers. This book will guide you from simply deploying a container to administrate a Kubernetes cluster, and then you will learn how to do monitoring, logging, and continuous deployment in DevOps. The initial stages of the book will introduce the fundamental DevOps and the concept of containers. It will move on to how to containerize applications and deploy them into. The book will then introduce networks in Kubernetes. We then move on to advanced DevOps skills such as monitoring, logging, and continuous deployment in Kubernetes. It will proceed to introduce permission control for Kubernetes resources via attribute-based access control and role-based access control. The final stage of the book will cover deploying and managing your container clusters on the popular public cloud Amazon Web Services and Google Cloud Platform. At the end of the book, other orchestration frameworks, such as Docker Swarm mode, Amazon ECS, and Apache Mesos will be discussed. Style and approach Readers will be taken through fundamental DevOps skills and Kubernetes concept and administration ... | ||
| 590 | |a O'Reilly |b O'Reilly Online Learning: Academic/Public Library Edition | ||
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| 700 | 1 | |a Lee, Hui-Chuan Chloe, |e author. | |
| 700 | 1 | |a Wu, Cheng-Yang, |e author. | |
| 776 | 0 | 8 | |i Print version: |a Saito, Hideto. |t DevOps with Kubernetes : accelerating software delivery with container orchestrators. |d Birmingham, England ; Mumbai, India : Packt Publishing, 2017 |z 9781788396646 |
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