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FinOps云成本优化
book

FinOps云成本优化

by J.R. Storment, Mike Fuller
March 2023
Beginner to intermediate
266 pages
4h 30m
Chinese
Publishing House of Electronics Industry
Content preview from FinOps云成本优化
放过我,时间!
41
5-1 AWS CUR账单数据的样本行
理解这种复杂性,能让你在
FinOps
这条路上尝试一些非常酷炫的事情,比如当一些“小”
变化发生时,引入异常自动检测机制。之所以说是“小”变化,是因为云效率的反馈往
往会被多次削减。想象一下,公司每月在云计算的支出是
1 000 000
美元,一个团队在
集群上运行着
50
个计算实例却不使用,每日都将导致
5000
美元的浪费。考虑到两者在
规模上的差异,当回顾服务层级总结或每月汇总时,你甚至都不会注意到任何变化,然
而每月这两笔“小”金额加起来已经超出
150 000
美元,也就是每月总花费的
15%
。你
必须通过计算机学习,来分析数据的微小变化,以免造成巨额成本浪费。幸运的是,云
供应商通过提供账单数据详单,能够帮助你洞察用量变化,在小规模浪费变成无法挽回
的巨额成本之前解决这个问题。
放过我,时间!
20
世纪
90
年代,胡蒂和河豚(
Hootie and the Blowfish
)乐队发布了一首名为《时间》的歌曲,
他们歌颂着时间如何“带你展望明天及所有的痛苦与悲伤”“明天只是另一个今天……
我不相信时间”。
鉴于此,可以猜想胡蒂和河豚乐队大概率对
FinOps
不感兴趣,毕竟云计费的本质就是
时间问题。每笔费用都有时间限制,即使固定费率项目也会按每月或每年收费。而更常
见的情况往往是需要你支付每秒的计算费、每月储存费,以及某个查询完成所需时间而
产生的费用。
当然,此规则也有例外。无服务器与数据传输并非基于时间,而是基于用量。两者仍然
属于相同的用量 × 费率的计费模型。例如 ...
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Publisher Resources

ISBN: 9787121451201