Und Sie werden beispielsweise wahrscheinlich feststellen, dass mehrere Prozesse dasselbe Browserprogramm ausführen (Firefox, Chrome, Edge, usw.). Normalerweise führen diese einen Prozess pro Browsertab sowie einige andere zusätzliche Prozesse aus.

<img class="shadow" src="/img/deployment/concepts/image01.png">

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And, for example, you will probably see that there are multiple processes running the same browser program (Firefox, Chrome, Edge, etc). They normally run one process per tab, plus some other extra processes.

<img class="shadow" src="/img/deployment/concepts/image01.png">

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  //    visible to done(). This is because there is no happens before edge between the write and a
  //    (hypothetical) unsafe read by our caller. Note: adding 'volatile' does not fix this issue,
  //    it would just add an edge such that if done() observed non-null, then it would also
  //    definitely observe all earlier writes, but we still have no guarantee that done() would see

    (by default) transferred to the TensorFlow team. This means that the benefit
    of the contribution must be compared against the cost of maintaining the
    feature.
*   Full new features (e.g., a new op implementing a cutting-edge algorithm)
    typically will live in
    [tensorflow/addons](https://github.com/tensorflow/addons) to get some
    airtime before a decision is made regarding whether they are to be migrated
    to the core.

Instead, an Istio specific field like `ExpectedTLSIdentity: spiffe://foo.bar` can encode the same information, at a fraction of the cost.

In our testing, even the most generous representations give custom types a 10x edge (in size, allocations, and CPU time) over Envoy types.
In addition, they are more clear and strictly typed; using Envoy types would require us to put a lot of information in untyped `metadata` maps.

  /** Settings we communicate to the peer. */
  val okHttpSettings =
    Settings().apply {
      // Flow control was designed more for servers, or proxies than edge clients. If we are a client,
      // set the flow control window to 16MiB.  This avoids thrashing window updates every 64KiB, yet
      // small enough to avoid blowing up the heap.
      if (builder.client) {

* 您计算机上运行的每个应用程序背后都有一些进程，每个正在运行的程序，每个窗口等。并且通常在计算机打开时**同时**运行许多进程。
* **同一程序**可以有**多个进程**同时运行。

如果您检查操作系统中的“任务管理器”或“系统监视器”（或类似工具），您将能够看到许多正在运行的进程。

例如，您可能会看到有多个进程运行同一个浏览器程序（Firefox、Chrome、Edge 等）。 他们通常每个tab运行一个进程，再加上一些其他额外的进程。

<img class="shadow" src="/img/deployment/concepts/image01.png">

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现在我们知道了术语“进程”和“程序”之间的区别，让我们继续讨论部署。

## 启动时运行

left+=o[0],p.top-=o[1]):'bottom'===d&&(p.left+=o[0],p.top+=o[1]),e.popper=p,e}var Q=Math.min,Z=Math.floor,$=Math.round,ee=Math.max,te='undefined'!=typeof window&&'undefined'!=typeof document&&'undefined'!=typeof navigator,oe=function(){for(var e=['Edge','Trident','Firefox'],t=0;t<e.length;t+=1)if(te&&0<=navigator.userAgent.indexOf(e[t]))return 1;return 0}(),ne=te&&window.Promise,ie=ne?function(e){var t=!1;return function(){t||(t=!0,window.Promise.resolve().then(function(){t=!1,e()}))}}:function(e){var...

E, por exemplo, você provavelmente verá que há vários processos executando o mesmo programa de navegador (Firefox, Chrome, Edge, etc.). Eles normalmente executam um processo por aba, além de alguns outros processos extras.

<img class="shadow" src="/img/deployment/concepts/image01.png">

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way, and nothing seems to suit them!'

  `I haven't the least idea what you're talking about,' said
Alice.

  `I've tried the roots of trees, and I've tried banks, and I've
tried hedges,' the Pigeon went on, without attending to her; `but
those serpents!  There's no pleasing them!'

  Alice was more and more puzzled, but she thought there was no
use in saying anything more till the Pigeon had finished.