</details>

### 실행하기

서버를 실행하십시오:

<div class="termy">

```console
$ uvicorn main:app --reload

INFO:     Uvicorn running on http://127.0.0.1:8000 (Press CTRL+C to quit)
INFO:     Started reloader process [28720]
INFO:     Started server process [28722]
INFO:     Waiting for application startup.
INFO:     Application startup complete.
```

     */
    public void setRunner(final OpenSearchRunner runner) {
        this.runner = runner;
    }

    /**
     * Checks if the search engine is running in embedded mode.
     *
     * @return true if running in embedded mode, false otherwise
     */
    public boolean isEmbedded() {
        return runner != null;
    }

    /**

- Fixed bug where dry run message was not printed when running `kubectl label` with `--dry-run` flag. ([#111571](https://github.com/kubernetes/kubernetes/pull/111571), [@brianpursley](https://github.com/brianpursley))

- Fix kubelet restart unmounts volumes of running pods if the referenced PVC is being deleted by the user ([#130684](https://github.com/kubernetes/kubernetes/pull/130684), [@carlory](https://github.com/carlory)) [SIG Node, Storage and Testing]

            ClassRealm extensionRealm = classRealmManager.createExtensionRealm(plugin, toAetherArtifacts(artifacts));

            // TODO figure out how to use the same PluginDescriptor when running mojos

            PluginDescriptor pluginDescriptor = null;
            if (plugin.isExtensions() && !artifacts.isEmpty()) {
                // ignore plugin descriptor parsing errors at this point

///

## 查看自动化的 API 文档

现在，使用 `app.main` 模块和 `app` 变量运行 `uvicorn`：

<div class="termy">

```console
$ uvicorn app.main:app --reload

<span style="color: green;">INFO</span>:     Uvicorn running on http://127.0.0.1:8000 (Press CTRL+C to quit)
```

</div>

然后打开位于 <a href="http://127.0.0.1:8000/docs" class="external-link" target="_blank">http://127.0.0.1:8000/docs</a> 的文档。

With **FastAPI** you can take advantage of concurrency that is very common for web development (the same main attraction of NodeJS).

But you can also exploit the benefits of parallelism and multiprocessing (having multiple processes running in parallel) for **CPU bound** workloads like those in Machine Learning systems.

A security issue was discovered in Kubernetes where users may be able to launch containers that bypass the mountable secrets policy enforced by the ServiceAccount admission plugin when using ephemeral containers. The policy ensures pods running with a service account may only reference secrets specified in the service account's secrets field. Kubernetes clusters are only affected if the ServiceAccount admission plugin and the `kubernetes.io/enforce-mountable-secrets` annotation are used...

///

Alternativ könnte HTTPS von einem Cloud-Anbieter als einer seiner Dienste gehandhabt werden (während die Anwendung weiterhin in einem Container ausgeführt wird).

## Beim Hochfahren ausführen und Neustarts { #running-on-startup-and-restarts }

Normalerweise gibt es ein anderes Tool, das für das **Starten und Ausführen** Ihres Containers zuständig ist.

	}

	if retries == 5 {
		scannerLogOnceIf(ctx, fmt.Errorf("maximum retry reached to load the data usage cache `%s`", name), "retry-loading-data-usage-cache")
	}

	return nil
}

// Maximum running concurrent saves on server.
var maxConcurrentScannerSaves = make(chan struct{}, 4)

// save the content of the cache to minioMetaBackgroundOpsBucket with the provided name.
// Note that no locking is done when saving.