June 2021
Intermediate to advanced
335 pages
5h 50m
Chinese
Content preview from Kubernetes编程
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14
｜
第
1
章
从软件架构的角度来看，一个控制器通常会使用以下的数据结构（第
3
章中
还会进一步讨论细节）：
Informer
Informer
负责观察资源的目标状态，这个过程需要是可伸缩和可持续的。
它们还负责实现重新同步机制（参考“
3.4 Informer
和缓存”的内容）从
而保证定时地解决冲突。它们通常用于保持集群的实际状态与内存中的缓
存的状态一致（代码
Bug
或是网络问题可能会导致它们不一致）。
工作队列
事件处理器把状态变化情况放入工作队列，用于保证在必要时可以进行重
试。在
client-go
中，这个功能是通过
workqueue
包（参考第
3
章“工作
队列”）来提供的。当在对资源或外部系统进行变更或者更新状态（控制
循环中的第
2
步和第
3
步）时发生错误，资源可以被重新放回工作队列，
它也可以被用于其他不能实时处理的状态变化的情况，把相关资源放入队
列后便可以在稍晚些时候再次处理。
有关
Kubernetes
的声明式处理引擎和状态变化的深入讨论，请参考
Andrew
Chen
和
Dominik Tornow
的“
The Mechanics of Kubernetes
”一文。
下面让我们一起来深入理解控制循环，先从
Kubernetes
的事件驱动架构开始。
1.4.2
事件
Kubernetes
的控制平面重度依赖事件处理和松耦合的组件架构。其他很多分
布式系统都使用远程过程调用（
RPC
）来触发一个动作，但
Kubernetes
不是
这样。
Kubernetes
的控制器会通过
API
服务器来观察
Kubernetes
对象的变化
情况
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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.