Cloud Native Infrastructure: Patterns for Scalable Infrastructure and Applications in a Dynamic Environment
暫譯: 雲原生基礎設施:動態環境中可擴展基礎設施與應用的模式

Justin Garrison, Kris Nova

  • 出版商: O'Reilly
  • 出版日期: 2017-12-12
  • 定價: $1,380
  • 售價: 8.8$1,214
  • 語言: 英文
  • 頁數: 160
  • 裝訂: Paperback
  • ISBN: 1491984309
  • ISBN-13: 9781491984307
  • 相關分類: JVM 語言
  • 立即出貨 (庫存 < 3)

買這商品的人也買了...

相關主題

商品描述

If you're considering the use of cloud native applications and microservices, you also need an infrastructure with the same elasticity and scalability of the applications they're running. This practical guide shows you how to design and maintain infrastructure capable of managing the full lifecycle of these implementations.
Engineers Justin Garrison and Kris Nova reveal hard-earned lessons on architecting infrastructure for massive scale and best in class monitoring, alerting, and troubleshooting. The authors focus on Cloud Native Computing Foundation projects and explain where each is crucial to managing modern applications.
  • Understand the fundamentals of cloud native application design, and how it differs from traditional application design
  • Learn how cloud native infrastructure is different from traditional infrastructure
  • Manage application lifecycles running on cloud native infrastructure, using Kubernetes for application deployment, scaling, and upgrades
  • Monitor cloud native infrastructure and applications, using fluentd for logging and prometheus + graphana for visualizing data
  • Debug running applications and learn how to trace a distributed application and dig deep into a running system with OpenTracing

商品描述(中文翻譯)

如果您考慮使用雲原生應用程式和微服務,您還需要一個具有與其運行的應用程式相同彈性和可擴展性的基礎設施。本實用指南將向您展示如何設計和維護能夠管理這些實現的完整生命周期的基礎設施。

工程師 Justin Garrison 和 Kris Nova 揭示了在大規模架構基礎設施以及最佳監控、警報和故障排除方面所獲得的寶貴經驗。作者專注於雲原生計算基金會(Cloud Native Computing Foundation)項目,並解釋每個項目在管理現代應用程式中的重要性。

- 了解雲原生應用程式設計的基本原則,以及它與傳統應用程式設計的不同之處
- 學習雲原生基礎設施與傳統基礎設施的不同
- 管理運行在雲原生基礎設施上的應用程式生命周期,使用 Kubernetes 進行應用程式的部署、擴展和升級
- 監控雲原生基礎設施和應用程式,使用 fluentd 進行日誌記錄,使用 prometheus 和 graphana 進行數據可視化
- 調試運行中的應用程式,學習如何追蹤分散式應用程式,並使用 OpenTracing 深入挖掘運行中的系統