* It is critical that this path preserves the Service IP, if the traffic was to a Service.
* All traffic *ingressing* a pod on port 15008 in the mesh is assumed to be HBONE, and should be redirected to the node-local ztunnel on port 15008 (more on this later).

    @Inject
    SettingsBuilder settingsBuilder;

    @Inject
    ToolchainsBuilder toolchainsBuilder;

    @BeforeEach
    void setup() {
        // create session with any local repo, is redefined anyway below
        RepositorySystemSession rss = new MavenSessionBuilderSupplier(repositorySystem)
                .get()
                .withLocalRepositoryBaseDirectories(new File("target").toPath())

En el output, hay una línea que dice más o menos:

```hl_lines="4"
INFO:     Uvicorn running on http://127.0.0.1:8000 (Press CTRL+C to quit)
```

Esa línea muestra la URL dónde se está sirviendo tu app en tu maquina local.

### Revísalo

Abre tu navegador en <a href="http://127.0.0.1:8000" class="external-link" target="_blank">http://127.0.0.1:8000</a>.

Verás la respuesta en JSON:

```JSON
{"message": "Hello World"}
```

Then, in that case, it could be simpler to have **one container** with **multiple processes**, and a local tool (e.g. a Prometheus exporter) on the same container collecting Prometheus metrics for all the internal processes and exposing those metrics on that single container.

---

	// value to set the node at that path to.
	Set []string
	// ManifestsPath is a path to a ManifestsPath and profiles directory in the local filesystem with a release tgz.
	ManifestsPath string
	// Revision is the Istio control plane revision the command targets.
	Revision string
}

func (a *InstallArgs) String() string {
	var b strings.Builder

	}
	g.Wait()
}

// Clean-up the old multipart uploads. Should be run in a Go routine.
func (er erasureObjects) cleanupStaleUploads(ctx context.Context, expiry time.Duration) {
	// run multiple cleanup's local to this server.
	var wg sync.WaitGroup
	for _, disk := range er.getLocalDisks() {
		if disk != nil {
			wg.Add(1)
			go func(disk StorageAPI) {
				defer wg.Done()

	Replication replicationConfig `msg:"-"`

	// StopDiskAtLimit will stop listing on each disk when limit number off objects has been returned.
	StopDiskAtLimit bool

	// pool and set of where the cache is located.
	pool, set int
}

func init() {
	gob.Register(listPathOptions{})
}

func (o *listPathOptions) setBucketMeta(ctx context.Context) {
	lc, _ := globalLifecycleSys.Get(o.Bucket)

Então, nesse caso, poderia ser mais simples ter **um único contêiner** com **múltiplos processos**, e uma ferramenta local (por exemplo, um exportador do Prometheus) no mesmo contêiner coletando métricas do Prometheus para todos os processos internos e expor essas métricas no único contêiner.

---