March 2023
Beginner to intermediate
266 pages
4h 30m
Chinese
Content preview from FinOps云成本优化
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迁移到容器编排引擎
｜
195
图18-1 Kubernetes集群的基本视图
迁移到容器编排引擎
请记住，
FinOps
是一个能够确保你正在做对业务最有利的事情的方法。如果将正在运行
的集群的总成本，与每个容器移动到其自己的虚拟机实例（容量适合容器的需求）上的
成本进行比较，则可以看到成本的差异。但我们并不是说容器编排引擎的唯一好处是成
本优化。成本不应是迁移到容器的唯一驱动因素。如果你能够确定容器化与传统的基于
服务器的部署的成本，那么这可以当作一个成本指标，当你讨论容器化的业务优势时，
该指标将非常有用。
当你从大量单独的云服务器实例更改为
Kubernetes
或
ECS
等集群编排解决方案时，你
通常会得到数量较少的大型服务器。通过将多个容器工作负载打包到这些较大的服务器
（也称为
bin
包（
bin packing
））中，可以提高效率。
一个类比可能有助于你想象这个概念 ：集群中的每个服务器实例都像一个俄罗斯方块游
戏。容器是不同形状和大小的块，容器编排引擎尝试将尽可能多的这些“块”（容器）放
入服务器中。
像
Kubernetes
这样的平台允许你设置不同的资源保证，允许你将更多的容器部署到一个
服务器实例上，我们将在后面“
Kubernetes
中的容器类”部分更深入地介绍这些容器。
在单个服务器实例上运行多个容器时，你将无法查看每个容器的各个成本，因为云服务
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.