DevOps with Kubernetes: Accelerating software delivery with container orchestrators, 2nd Edition

Hideto Saito, Hui-Chuan Chloe Lee, Cheng-Yang Wu

  • 出版商: Packt Publishing
  • 出版日期: 2019-01-29
  • 售價: $2,110
  • 貴賓價: 9.5$2,005
  • 語言: 英文
  • 頁數: 484
  • 裝訂: Paperback
  • ISBN: 1789533996
  • ISBN-13: 9781789533996
  • 相關分類: DevOpsKubernetes
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Leverage the power of Kubernetes to build an efficient software delivery pipeline.

Key Features

  • Learn about DevOps, containers, and Kubernetes all within one handy book
  • A practical guide to container management and orchestration
  • Learn how to monitor, log, and troubleshoot your Kubernetes applications

Book Description

Kubernetes has been widely adopted across public clouds and on-premise data centers. As we're living in an era of microservices, knowing how to use and manage Kubernetes is an essential skill for everyone in the IT industry.

This book is a guide to everything you need to know about Kubernetes―from simply deploying a container to administrating Kubernetes clusters wisely. You'll learn about DevOps fundamentals, as well as deploying a monolithic application as microservices and using Kubernetes to orchestrate them. You will then gain an insight into the Kubernetes network, extensions, authentication and authorization.

With the DevOps spirit in mind, you'll learn how to allocate resources to your application and prepare to scale them efficiently. Knowing the status and activity of the application and clusters is crucial, so we'll learn about monitoring and logging in Kubernetes. Having an improved ability to observe your services means that you will be able to build a continuous delivery pipeline with confidence. At the end of the book, you'll learn how to run managed Kubernetes services on three top cloud providers: Google Cloud Platform, Amazon Web Services, and Microsoft Azure.

What you will learn

  • Learn fundamental and advanced DevOps skills and tools
  • Get a comprehensive understanding of containers
  • Dockerize an application
  • Administrate and manage Kubernetes cluster
  • Extend the cluster functionality with custom resources
  • Understand Kubernetes network and service mesh
  • Implement Kubernetes logging and monitoring
  • Manage Kubernetes services in Amazon Web Services, Google Cloud Platform,and Microsoft Azure

Who this book is for

This book is for anyone who wants to learn containerization and clustering in a practical way using Kubernetes. No prerequisite skills are required, however, essential DevOps skill and public/private Cloud knowledge will accelerate the reading speed. If you're advanced, you can get a deeper understanding of all the tools and technique described in the book.

Table of Contents

  1. Introduction to DevOps
  2. DevOps with Container
  3. Getting started with Kubernetes
  4. Managing Stateful workloads
  5. Cluster Administration and Extension
  6. Kubernetes Network
  7. Monitoring and Logging
  8. Resource Management and Scaling
  9. Continuous Delivery
  10. Kubernetes on AWS
  11. Kubernetes on GCP
  12. Kubernetes on Azure


發揮 Kubernetes 的威力,打造高效的軟體交付流程。

- 在一本便利的書中學習 DevOps、容器和 Kubernetes
- 實用的容器管理和編排指南
- 學習如何監控、記錄和排除故障 Kubernetes 應用程式

Kubernetes 已被廣泛應用於公有雲和本地數據中心。在微服務時代,了解如何使用和管理 Kubernetes 是 IT 行業中每個人都必備的技能。

本書是一本關於 Kubernetes 的指南,從簡單部署容器到明智地管理 Kubernetes 叢集的一切都包含在內。您將學習 DevOps 的基礎知識,以及將單體應用程式部署為微服務並使用 Kubernetes 來編排它們的方法。然後,您將深入了解 Kubernetes 的網路、擴展、身份驗證和授權。

在 DevOps 精神的指引下,您將學習如何為應用程式分配資源並準備有效擴展。了解應用程式和叢集的狀態和活動至關重要,因此我們將學習 Kubernetes 中的監控和記錄。提升觀察服務的能力意味著您將能夠自信地建立持續交付流程。在本書的最後,您將學習如何在三個頂級雲服務提供商(Google Cloud Platform、Amazon Web Services 和 Microsoft Azure)上運行受管 Kubernetes 服務。

- 學習基礎和高級 DevOps 技能和工具
- 全面了解容器
- 將應用程式容器化
- 管理和管理 Kubernetes 叢集
- 使用自定義資源擴展叢集功能
- 了解 Kubernetes 網路和服務網格
- 實施 Kubernetes 的記錄和監控
- 在 Amazon Web Services、Google Cloud Platform 和 Microsoft Azure 中管理 Kubernetes 服務

本書適合對於使用 Kubernetes 實踐容器化和叢集化的人。不需要先備技能,但具備基本的 DevOps 技能和公有/私有雲知識將有助於加快閱讀速度。如果您已經具備高級知識,您可以更深入地了解書中描述的所有工具和技術。

1. DevOps 簡介
2. 使用容器的 DevOps
3. 開始使用 Kubernetes
4. 管理有狀態的工作負載
5. 叢集管理和擴展
6. Kubernetes 網路
7. 監控和記錄
8. 資源管理和擴展
9. 持續交付
10. 在 AWS 上使用 Kubernetes
11. 在 GCP 上使用 Kubernetes
12. 在 Azure 上使用 Kubernetes