In diesem Fall könnte einfacher sein, **einen Container** mit **mehreren Prozessen** und ein lokales Tool (z. B. einen Prometheus-Exporter) in demselben Container zu haben, welches Prometheus-Metriken für alle internen Prozesse sammelt und diese Metriken für diesen einzelnen Container offenlegt.

---

            is ProjectComponentIdentifier -> if (fromComponent != rootComponent.id) {
                // Only track accessible dependencies from _transitive_ local dependencies
                // We should not include the root variant's dependencies in the locally accessible set
                locallyAccessible.add(to.owner)
            }
            is ModuleComponentIdentifier -> externallyAccessible.add(to.owner)
        }

4. Install the package dependencies in the requirements file.

    The `--no-cache-dir` option tells `pip` to not save the downloaded packages locally, as that is only if `pip` was going to be run again to install the same packages, but that's not the case when working with containers.

    !!! note

// instantiate new PersistentVolumes.
//
// For example this can express things like:
// - StorageClass "standard" has "1234 GiB" available in "topology.kubernetes.io/zone=us-east1"
// - StorageClass "localssd" has "10 GiB" available in "kubernetes.io/hostname=knode-abc123"
//
// The following three cases all imply that no capacity is available for
// a certain combination:

}

// Defines a set of pods (namely those matching the labelSelector
// relative to the given namespace(s)) that this pod should be
// co-located (affinity) or not co-located (anti-affinity) with,
// where co-located is defined as running on a node whose value of
// the label with key <topologyKey> matches that of any node on which
// a pod of the set of pods is running
message PodAffinityTerm {

   ([#123527](https://github.com/kubernetes/kubernetes/pull/123527), [@aramase](https://github.com/aramase))

<font color="#4E9A06">INFO</font>:     Application startup complete.
</pre>
```

</div>

It is **HIGHLY encouraged** that you write or copy the code, edit it and run it locally.

Using it in your editor is what really shows you the benefits of FastAPI, seeing how little code you have to write, all the type checks, autocompletion, etc.

---

## Install FastAPI

// instantiate new PersistentVolumes.
//
// For example this can express things like:
// - StorageClass "standard" has "1234 GiB" available in "topology.kubernetes.io/zone=us-east1"
// - StorageClass "localssd" has "10 GiB" available in "kubernetes.io/hostname=knode-abc123"
//
// The following three cases all imply that no capacity is available for
// a certain combination:

### Auf einem entfernten Server

Wenn Sie einen entfernten Server (einen Cloud-Server, eine virtuelle Maschine, usw.) einrichten, können Sie am einfachsten Uvicorn (oder ähnliches) manuell ausführen, genau wie bei der lokalen Entwicklung.

Und es wird funktionieren und **während der Entwicklung** nützlich sein.

Wenn Ihre Verbindung zum Server jedoch unterbrochen wird, wird der **laufende Prozess** wahrscheinlich abstürzen.

Ele tinha validação de dados automática, serialização de dados e geração de _schema_ OpenAPI baseado nos mesmos _type hints_ em vários locais.