August 2019
Beginner to intermediate
232 pages
3h 50m
Chinese
Content preview from Web容量规划之美
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188
第
6
章
百花齐放
生产节点的
CPU
利用率没有任何流量的增加的情况是存在的，这种情况通常是由
于各种偶然事件而引起的。为了解决这类问题，我们制定附加扩容策略（即除了
基于
RPS
放大政策）有助于减少对最终用户的影响，如图
6-8
所示。
图
6
-
8
：检查“崩溃”的附加策略
在
2015
年
7
月，
AWS
引入了新扩缩策略的步骤。例如你可以为不同级别的平均
CPU
利用率指定不同的响应，像小于
50%
、大于等于
50%
小于
60%
、大于
60%
小于等于
80%
，以及大于等于
80%
。更进一步，如果你为同一资源创建了多个步
骤扩缩策略（可能基于
CPU
利用率和涌入的网络流量），并且它们都在同一时间
触发，自动缩放会观察策略并在其中选择最高幅度的变化的策略来执行。
注意
进一步的信息可以到下面网页查看
：
https://aws.amazon.com/blogs/aws/
auto-scalingupdate-new-scaling-policies-for-more-responsive-scaling/
。
在某些场景下，你可能想从
ASG
崩溃场景中保护特定的实例。例如，它可能是处
理长时间运行任务或工作的实例，也许是从一个
SQS
队列中提取出来的。保护实
例不异常终止可以避免无效工作。同样地，实例可能在
ASG
组内具有特殊的用途
,
例如，它可能是
Hadoop
集群的主节点，或者一个标记整组实例是否处于运行状态
的心跳节点。为此，你可以使用
AWS
提供的实例保护功能。在大多数情况下，在
ASG
的至少一个实例应该不受保护。如果所有实例都受到保护，则不会采取任何 ...
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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.