March 2023
Beginner to intermediate
266 pages
4h 30m
Chinese
Content preview from FinOps云成本优化
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182
｜
第
16
章
指标驱动成本优化
在没有指标的情况下运行
FinOps
优化，并不能提供真正的方法来识别优化何时达到目标。
事实上，没有指标，你甚至无法设定目标。跟踪的指标基于我们在第
6
章中讨论的反馈
循环。指标可以帮助你确定未优化或表现不佳的位置，以便进行改进。换句话说，指标
可以帮助你衡量成本优化的成果，即节省了多少成本。
将
MDCO
应用于
FinOps
允许你衡量成本优化的预期结果。当指标显示更改未成功时，
可以将其用作更改需要进一步调整的早期警告，也可以将其完全回滚。
指标驱动的流程与节奏驱动的流程
在第
14
章中，我们讨论了
RI
的策略。大多数公司在开始使用预留时，都会按计划（每月、
每季度甚至每年）购买
RI
。我们称之为基于节奏或计划驱动的成本优化。
如果你购买预留的节奏较慢，可能会有较多的使用量（
Usage
）没有被预留类型的实例
覆盖。图
16-5
显示了一段时间（
Time
）内的使用量，灰色部分表示预留覆盖率。如图
16-5
所示，
RI
的购买发生在相对固定的周期内，这些购买动作之间的资源使用量持续增
长。你通过更频繁地购买
RI
，提升预留的覆盖率，可以节省更多成本。
图16-5 不经常执行的预留覆盖率
图
16-6
显示了一个
RI
购买更频繁的策略。随着时间的推移，频率并不总是相同的，但
由此产生的预留覆盖率将紧随资源使用量的增加而增长。
图16-6 经常执行的预留覆盖率
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