"content": "The charts on this dashboard are intended to show Istio main components cost in terms of resources utilization under steady load.\n\n- **vCPU / 1k rps:** shows vCPU utilization by the main Istio components normalized by 1000 requests/second. When idle or low traffic, this chart will be blank. The curve for istio-proxy refers to the services sidecars only.\n- **vCPU:** vCPU utilization by Istio components, not normalized.\n- **Memory:** memory footprint for the components....

                    <mxGeometry relative="1" as="geometry">
                        <Array as="points">
                            <mxPoint x="800" y="521"/>
                            <mxPoint x="800" y="560"/>
                        </Array>
                        <mxPoint x="803" y="521" as="sourcePoint"/>
                    </mxGeometry>
                </mxCell>

然后，它将转换和验证数据。因此，当您使用该 `settings` 对象时，您将获得您声明的类型的数据（例如 `items_per_user` 将为 `int` 类型）。

### 使用 `settings`

然后，您可以在应用程序中使用新的 `settings` 对象：

```Python hl_lines="18-20"
{!../../docs_src/settings/tutorial001.py!}
```

### 运行服务器

接下来，您将运行服务器，并将配置作为环境变量传递。例如，您可以设置一个 `ADMIN_EMAIL` 和 `APP_NAME`，如下所示：

<div class="termy">

```console

    assertEquals(80, info.getPort());
    assertEquals(1000, info.getFlags());
  }

  public void testIsatapAddresses() {
    InetAddress ipv4 = InetAddresses.forString("1.2.3.4");
    ImmutableSet<String> validIsatapAddresses =
        ImmutableSet.of(
            "2001:db8::5efe:102:304",
            "2001:db8::100:5efe:102:304", // Private Multicast? Not likely.
            "2001:db8::200:5efe:102:304",

	adminAPIClientDevExtraTime     = "/speedtest/client/devnull/extratime"
)

var gzipHandler = func() func(http.Handler) http.HandlerFunc {
	gz, err := gzhttp.NewWrapper(gzhttp.MinSize(1000), gzhttp.CompressionLevel(gzip.BestSpeed))
	if err != nil {
		// Static params, so this is very unlikely.
		logger.Fatal(err, "Unable to initialize server")
	}
	return gz
}()

// Set of handler options as bit flags

## Changes since v1.1.1

### Major Themes

  * <strong>Significant scale improvements</strong>. Increased cluster scale by 400% to 1000 nodes with 30,000 pods per cluster.
Kubelet supports 100 pods per node with 4x reduced system overhead.
  * <strong>Simplified application deployment and management. </strong>
     * Dynamic Configuration (ConfigMap API in the core API group) enables application

 * creation time, the queue is unbounded.
 *
 * <p>Usage example:
 *
 * <pre>{@code
 * MinMaxPriorityQueue<User> users = MinMaxPriorityQueue.orderedBy(userComparator)
 *     .maximumSize(1000)
 *     .create();
 * }</pre>
 *
 * <p>As a {@link Queue} it functions exactly as a {@link PriorityQueue}: its head element -- the
 * implicit target of the methods {@link #peek()}, {@link #poll()} and {@link #remove()} -- is

      <match value="M.K." type="string" offset="1080"/>
      <match value="M!K!" type="string" offset="1080"/>
      <match value="FLT4" type="string" offset="1080"/>
      <match value="FLT8" type="string" offset="1080"/>
      <match value="4CHN" type="string" offset="1080"/>
      <match value="6CHN" type="string" offset="1080"/>
      <match value="8CHN" type="string" offset="1080"/>

 * }
 * }</pre>
 *
 * <p>It is important to note that the number of permits requested <i>never</i> affects the
 * throttling of the request itself (an invocation to {@code acquire(1)} and an invocation to {@code
 * acquire(1000)} will result in exactly the same throttling, if any), but it affects the throttling
 * of the <i>next</i> request. I.e., if an expensive task arrives at an idle RateLimiter, it will be

 * }
 * }</pre>
 *
 * <p>It is important to note that the number of permits requested <i>never</i> affects the
 * throttling of the request itself (an invocation to {@code acquire(1)} and an invocation to {@code
 * acquire(1000)} will result in exactly the same throttling, if any), but it affects the throttling
 * of the <i>next</i> request. I.e., if an expensive task arrives at an idle RateLimiter, it will be