Managing Cloud Native Data on Kubernetes: Architecting Cloud Native Data Services Using Open Source Technology (Paperback)

Is Kubernetes ready for stateful workloads? This open source system has become the primary platform for deploying and managing cloud native applications. But because it was originally designed for stateless workloads, working with data on Kubernetes has been challenging. If you want to avoid the inefficiencies and duplicative costs of having separate infrastructure for applications and data, this practical guide can help.

Using Kubernetes as your platform, you'll learn open source technologies that are designed and built for the cloud. Authors Jeff Carpenter and Patrick McFadin provide case studies to help you explore new use cases and avoid the pitfalls others have faced. Youâ ll get an insider's view of what's coming from innovators who are creating next-generation architectures and infrastructure.

With this book, you will:

• Learn how to use basic Kubernetes resources to compose data infrastructure
• Automate the deployment and operations of data infrastructure on Kubernetes using tools like Helm and operators
• Evaluate and select data infrastructure technologies for use in your applications
• Integrate data infrastructure technologies into your overall stack
• Explore emerging technologies that will enhance your Kubernetes-based applications in the future

Kubernetes是否適用於有狀態的工作負載？這個開源系統已成為部署和管理雲原生應用程式的主要平台。但由於它最初是為無狀態的工作負載設計的，因此在Kubernetes上處理數據一直是具有挑戰性的。如果您想避免為應用程式和數據分開建立基礎設施而產生的低效率和重複成本，這本實用指南可以幫助您。

使用Kubernetes作為您的平台，您將學習針對雲端設計和建立的開源技術。作者Jeff Carpenter和Patrick McFadin提供案例研究，幫助您探索新的使用案例並避免其他人所面臨的問題。您將從創造下一代架構和基礎設施的創新者那裡獲得內部人士的觀點。

這本書將幫助您：

- 學習如何使用基本的Kubernetes資源來構建數據基礎設施
- 使用Helm和operators等工具自動部署和操作Kubernetes上的數據基礎設施
- 評估並選擇適用於您的應用程式的數據基礎設施技術
- 將數據基礎設施技術整合到您的整體堆棧中
- 探索將來將增強基於Kubernetes的應用程式的新興技術