Kubernetes Best Practices: Blueprints for Building Successful Applications on Kubernetes, 2/e (Paperback)

Burns, Brendan, Villalba, Eddie, Strebel, Dave

  • 出版商: O'Reilly
  • 出版日期: 2023-11-14
  • 定價: $2,280
  • 售價: 9.0$2,052
  • 語言: 英文
  • 頁數: 322
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 1098142160
  • ISBN-13: 9781098142162
  • 相關分類: Kubernetes
  • 立即出貨 (庫存 < 4)

商品描述

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

商品描述(中文翻譯)

在這本實用指南中,四位在分散式系統、企業應用程式開發和開源領域擁有豐富經驗的 Kubernetes 專業人士將引導您透過這個容器編排系統來建立應用程式。他們從成功在生產環境中運行 Kubernetes 的公司中提煉出數十年的經驗,並提供具體的程式碼範例來支持本書中介紹的方法。

這本書已經修訂,涵蓋了所有最新的 Kubernetes 功能、新工具和廢棄功能,非常適合那些熟悉基本 Kubernetes 概念但想要了解最新最佳實踐的人。您將學到建立最佳應用程式所需的一切關鍵知識。

以下是本書內容的一些亮點:
- 在 Kubernetes 中設置和開發應用程式
- 學習監控、保護系統以及管理升級、部署和回滾的模式
- 整合服務和舊有應用程式,並在 Kubernetes 上開發更高層次的平台
- 在 Kubernetes 中運行機器學習工作負載
- 確保 Pod 和容器的安全性
- 了解對於成功實施 Kubernetes 越來越重要的問題,例如混沌工程/測試、GitOps、服務網格和可觀察性。