<font color="#4E9A06">INFO</font>:     Uvicorn running on <b>http://0.0.0.0:8000</b> (Press CTRL+C to quit)
```

</div>

That would work for most of the cases. 😎

You could use that command for example to start your **FastAPI** app in a container, in a server, etc.

## ASGI Servers

Let's go a little deeper into the details.

This is because it is expected that **your users** would define the actual **URL path** where they want to receive the webhook request in some other way (e.g. a web dashboard).

### Check the docs

Now you can start your app and go to <a href="http://127.0.0.1:8000/docs" class="external-link" target="_blank">http://127.0.0.1:8000/docs</a>.

You will see your docs have the normal *path operations* and now also some **webhooks**:

		"The total number of node agent reconcile events.",
	)
)

type K8sHandlers interface {
	GetPodIfAmbient(podName, podNamespace string) (*corev1.Pod, error)
	GetAmbientPods() []*corev1.Pod
	Start()
}

type InformerHandlers struct {
	ctx             context.Context
	dataplane       MeshDataplane
	systemNamespace string

	queue      controllers.Queue
	pods       kclient.Client[*corev1.Pod]

And then it will redirect its requests to your Uvicorn running on `http://127.0.0.1:8000`.

Now start Traefik:

<div class="termy">

```console
$ ./traefik --configFile=traefik.toml

INFO[0000] Configuration loaded from file: /home/user/awesomeapi/traefik.toml
```

</div>

And now start your app, using the `--root-path` option:

<div class="termy">

```console

	ri.Bucket = bucket
	for i := range batch {
		ri.Object = batch[i].Name
		ri.countItem(batch[i].Size, batch[i].DeleteMarker, true)
	}
}

// Start start the batch replication job, resumes if there was a pending job via "job.ID"
func (r *BatchJobReplicateV1) Start(ctx context.Context, api ObjectLayer, job BatchJobRequest) error {
	ri := &batchJobInfo{
		JobID:     job.ID,
		JobType:   string(job.Type()),

A container is running as long as the **main process** (command or program) is running.

A container normally has a **single process**, but it's also possible to start subprocesses from the main process, and that way you will have **multiple processes** in the same container.

)

// Collector paths.
//
// These are paths under the top-level /minio/metrics/v3 metrics endpoint. Each
// of these paths returns a set of V3 metrics.
//
// Per-bucket metrics endpoints always start with /bucket and the bucket name is
// appended to the path. e.g. if the collector path is /bucket/api, the endpoint
// for the bucket "mybucket" would be /minio/metrics/v3/bucket/api/mybucket
const (

						}

						// For providing ranged content
						start, rangeLen, err := rs.GetOffsetLength(ci.Size)
						if err != nil {
							start, rangeLen = 0, ci.Size
						}

						// Set content length.
						w.Header().Set(xhttp.ContentLength, strconv.FormatInt(rangeLen, 10))
						if rs != nil {
							contentRange := fmt.Sprintf("bytes %d-%d/%d", start, start+rangeLen-1, ci.Size)

## Run the code

All the code blocks can be copied and used directly (they are actually tested Python files).

To run any of the examples, copy the code to a file `main.py`, and start `fastapi dev` with:

<div class="termy">

```console
$ <font color="#4E9A06">fastapi</font> dev <u style="text-decoration-style:single">main.py</u>

				getEndpointStrings: s.GetEndpointStrings(i),
				nsMutex:            mutex,
			}
		}(i)
	}

	wg.Wait()

	// start cleanup stale uploads go-routine.
	go s.cleanupStaleUploads(ctx)

	// start cleanup of deleted objects.
	go s.cleanupDeletedObjects(ctx)

	// Start the disk monitoring and connect routine.
	if !globalIsTesting {
		go s.monitorAndConnectEndpoints(ctx, defaultMonitorConnectEndpointInterval)