May 2025
Beginner to intermediate
332 pages
4h 22m
Chinese
Content preview from 在 Kubernetes 上管理云原生数据
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第 11 章 将数据工作负载迁移到 Kubernetes 将数据工作负载迁移到 Kubernetes
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在第一章中，我们提出了将云原生应用所需的所有基础设施整合到一处的愿景：Kubernetes。我们的论点很简单：如果你将数据及其支持基础架构排除在 Kubernetes 部署之外，那么你就没有完全接受云原生原则。从那时起，我们已经做了很多工作，研究了各种类型的数据基础设施如何在 Kubernetes 上运行，并展示了可能的艺术。
那么，你将何去何从？完全实现这一愿景的步骤是什么？此时，您可能已经在 Kubernetes 中拥有了部分应用程序。更有可能的是，你还拥有前几代基础设施，如容器、虚拟机或裸机服务器，无论是运行在自己的数据中心还是云中。在这最后一章中，我们将利用迄今为止学到的所有知识，帮助您创建一个计划，在 Kubernetes 中全面管理云原生数据。
愿景：应用感知平台
在整本书中，我们听到了社区中不同的声音，他们介绍了有关 Kubernetes 中数据的智慧，以及对这项不朽事业的实用建议。无论你是 Kubernetes 的初学者，还是经验丰富的多年操作者，我们都可以从他们的专业知识中学到东西。现在是时候放大视野，考虑一下向 Kubernetes 的转变与软件行业的其他趋势是如何交织在一起的了。Craig McLuckie 是谷歌创建 Kubernetes 的团队成员之一，并最终将 Kubernetes 推向开源。他在云原生基础设施社区一直非常活跃，并分享了我们在 Kubernetes 上迈向数据的一些可能性和挑战。
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