Networking and Kubernetes : A Layered Approach (Paperback)

Strong, James, Lancey, Vallery

  • 出版商: O'Reilly
  • 出版日期: 2021-10-12
  • 定價: $2,180
  • 售價: 9.5$2,071
  • 貴賓價: 9.0$1,962
  • 語言: 英文
  • 頁數: 340
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 1492081655
  • ISBN-13: 9781492081654
  • 相關分類: Kubernetes
  • 立即出貨 (庫存 < 4)

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商品描述

Kubernetes has become an essential part of the daily work for most system, network, and cluster administrators today. But to work effectively together on a production-scale Kubernetes system, they must be able to speak the same language. This book provides a clear guide to the layers of complexity and abstraction that come with running a Kubernetes network.

Authors James Strong and Vallery Lancey bring you up to speed on the intricacies that Kubernetes has to offer for large container deployments. If you're to be effective in troubleshooting and maintaining a production cluster, you need to be well versed in the abstraction provided at each layer. This practical book shows you how.

  • Learn the Kubernetes networking model
  • Choose the best interface for your clusters from the CNCF Container Network Interface project
  • Explore the networking and Linux primitives that power Kubernetes
  • Quickly troubleshoot networking issues and prevent downtime
  • Examine cloud networking and Kubernetes using the three major providers: Amazon Web Services, Google Cloud, and Microsoft Azure
  • Learn the pros and cons of various network tools--and how to select the best ones for your stack

商品描述(中文翻譯)

Kubernetes已成為大多數系統、網路和叢集管理員日常工作中不可或缺的一部分。但要在生產規模的Kubernetes系統上有效地合作,他們必須能夠說同一種語言。本書提供了一個清晰的指南,介紹了運行Kubernetes網路所涉及的複雜性和抽象層級。

作者James Strong和Vallery Lancey帶您了解Kubernetes在大型容器部署中所提供的細節。如果您要在維護和疑難排解生產叢集時發揮作用,您需要熟悉每個層級提供的抽象。本實用書籍將向您展示如何做到這一點。


  • 了解Kubernetes網路模型

  • 從CNCF容器網路介面項目中選擇最適合您叢集的介面

  • 探索支持Kubernetes的網路和Linux原始工具

  • 快速疑難排解網路問題並防止停機

  • 使用三個主要提供商(Amazon Web Services、Google Cloud和Microsoft Azure)研究雲網路和Kubernetes

  • 了解各種網路工具的優缺點,並選擇最適合您的堆疊的工具

作者簡介

James began his career in Networking, first attending Cisco Networking Academy in High School. He then went on to be a Network Engineer at the University of Dayton and GE Appliances. While attending GE's Information Technology Leadership program, James was able to see many of the problems that face system administrators and developers in an Enterprise environment. As the Cloud Native Director at Contino, James leads many large-scale enterprises and financial institutions through their Cloud and DevOps journeys. He is deeply involved in his local cloud native community, running local meetups, both AWS User Group & Cloud-Native Louisville. He holds a Master of Science in Computer Science from the University of Louisville, six AWS Certifications, including the Certified Advanced Networking Specialty, along with the CNCF's CKA.

Vallery started her career at Checkfront as the company's first DevOps Engineer. She began adopting Kubernetes in 2017, living through many of the early-adopter challenges, and rapidly evolving features. At Lyft, she works on the Compute Platform team as an Infrastructure Software Engineer, building and maintaining Lyft's multi-cluster Kubernetes platform. At Lyft, she has worked on multicluster ingress support. Vallery is a Kubernetes contributor, and got her start in SIG-Network. There, she has contributed to kube-proxy, and IP dualstack support. She currently contributes to multiple areas of Kubernetes, and brings an end-user perspective to the project.

作者簡介(中文翻譯)

James在網路工程領域開始了他的職業生涯,他首先在高中時期參加了思科網路學院。之後,他成為了代頓大學和GE Appliances的網路工程師。在參加GE的資訊科技領導計畫期間,James能夠看到企業環境中系統管理員和開發人員所面臨的許多問題。作為Contino的雲原生總監,James帶領許多大型企業和金融機構進行他們的雲端和DevOps之旅。他積極參與當地的雲原生社群,主辦本地的meetup活動,包括AWS使用者群組和Cloud-Native Louisville。他擁有路易斯維爾大學的計算機科學碩士學位,以及六個AWS認證,包括認證高級網路專業,還有CNCF的CKA認證。

Vallery在Checkfront開始她的職業生涯,成為該公司的第一位DevOps工程師。她於2017年開始採用Kubernetes,經歷了許多早期採用者所面臨的挑戰,並迅速演進了各種功能。在Lyft,她作為基礎架構軟體工程師在計算平台團隊工作,建立和維護Lyft的多集群Kubernetes平台。在Lyft,她曾參與多集群入口支援的開發。Vallery是Kubernetes的貢獻者,並在SIG-Network開始了她的貢獻。在那裡,她參與了kube-proxy和IP雙堆疊支援的開發。她目前在Kubernetes的多個領域做出貢獻,並為該專案帶來了最終使用者的觀點。