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// The sparse map is stored in the tar header if it's small enough.
// If it's larger than four entries, then one or more extension headers are used
// to store the rest of the sparse map.
//
// The Header.Size does not reflect the size of any extended headers used.
// Thus, this function will read from the raw io.Reader to fetch extra headers.
// This method mutates blk in the process.

通过使用预制的容器镜像，可以很容易地**组合**并使用不同工具。例如，试用一个新的数据库。在大多数情况下，你可以直接使用**官方镜像**，只需通过环境变量配置即可。

这样，在很多场景中你可以学习容器和 Docker，并将这些知识复用到许多不同的工具和组件中。

因此，你可以运行包含不同内容的**多个容器**，比如一个数据库、一个 Python 应用、一个带 React 前端的 Web 服务器，并通过它们的内部网络连接在一起。

所有容器管理系统（如 Docker 或 Kubernetes）都内置了这些网络功能。

## 容器与进程 { #containers-and-processes }

**容器镜像**通常在其元数据中包含在**容器**启动时应运行的默认程序或命令以及要传递给该程序的参数。这与命令行中做的事情非常相似。

Así, ejecutarías **múltiples contenedores** con diferentes cosas, como una base de datos, una aplicación de Python, un servidor web con una aplicación frontend en React, y conectarlos entre sí a través de su red interna.

Todos los sistemas de gestión de contenedores (como Docker o Kubernetes) tienen estas funcionalidades de redes integradas.

   - In version 1.8, enable this behavior by setting the
     `--horizontal-pod-autoscaler-use-rest-clients` flag to `true`.

   - In version 1.9, this behavior will be enabled by default, and must be explicitly
     disabled by setting the `--horizontal-pod-autoscaler-use-rest-clients` flag to `false`.

### Cluster Lifecycle

Então, você rodaria **vários contêineres** com coisas diferentes, como um banco de dados, uma aplicação Python, um servidor web com uma aplicação frontend React, e conectá-los juntos via sua rede interna.

Todos os sistemas de gerenciamento de contêineres (como Docker ou Kubernetes) possuem essas funcionalidades de rede integradas a eles.

	VRGATHEREI16VV	V1, V2, V4, V3			// ERROR "invalid vector mask register"
	VRGATHERVX	X10, V2, V4, V3			// ERROR "invalid vector mask register"
	VRGATHERVI	$16, V2, V4, V3			// ERROR "invalid vector mask register"

* Retry Pod/RC updates in kubectl rolling-update ([#27509](https://github.com/kubernetes/kubernetes/pull/27509), [@janetkuo](https://github.com/janetkuo))
* GCE provider: Create TargetPool with 200 instances, then update with rest ([#27865](https://github.com/kubernetes/kubernetes/pull/27865), [@zmerlynn](https://github.com/zmerlynn))

	// setup becoming a reality we must try to shard the work properly such as
	// pick 10 nodes that precisely can send those 100 requests the first node
	// in the 10 node shard would coordinate between other 9 shards to get the
	// rest of the `99*9` requests.
	//
	// This essentially splits the workload properly and also allows for network
	// utilization to be optimal, instead of blindly throttling the way we are

 *  The `AndroidAsyncDns` class moved to the `okhttp` artifact.
 *  The `AndroidLogging` class is no longer necessary. `LoggingEventListener` and
    `HttpLoggingInterceptor` write to logcat by default.

The rest of this release is our highest-quality release yet. Though we continue to use the word
_alpha_ in the version name, the only unstable thing in it is some non-final APIs tagged