Erinnern Sie sich aus der Dokumentation [Über HTTPS](https.md){.internal-link target=_blank}, dass nur ein Prozess auf einer Kombination aus Port und IP-Adresse auf einem Server lauschen kann?

Das ist immer noch wahr.

Um also **mehrere Prozesse** gleichzeitig zu haben, muss es einen **einzelnen Prozess geben, der einen Port überwacht**, welcher dann die Kommunikation auf irgendeine Weise an jeden Workerprozess überträgt.

### Arbeitsspeicher pro Prozess

  </AssumeRoleResult>
  <ResponseMetadata>
    <RequestId>c6104cbe-af31-11e0-8154-cbc7ccf896c7</RequestId>
  </ResponseMetadata>
</AssumeRoleResponse>
```

## Using AssumeRole API

```
export MINIO_ROOT_USER=minio
export MINIO_ROOT_PASSWORD=minio123
minio server ~/test
```

Create new users following the multi-user guide [here](https://docs.min.io/community/minio-object-store/administration/identity-access-management.html)

`MINIO_STORAGE_CLASS_STANDARD=EC:parity`
`MINIO_STORAGE_CLASS_RRS=EC:parity`

For example, set `MINIO_STORAGE_CLASS_RRS` parity 2 and `MINIO_STORAGE_CLASS_STANDARD` parity 3

```sh
export MINIO_STORAGE_CLASS_STANDARD=EC:3
export MINIO_STORAGE_CLASS_RRS=EC:2
```

So, let's say you have a frontend running in your browser at `http://localhost:8080`, and its JavaScript is trying to communicate with a backend running at `http://localhost` (because we don't specify a port, the browser will assume the default port `80`).

                                    <tr>
                                        <th><la:message key="labels.file_auth_port"/></th>
                                        <td>${f:h(port)}<la:hidden property="port"/></td>
                                    </tr>
                                    <tr>
                                        <th><la:message key="labels.file_auth_scheme"/></th>

    python_bin="python"
  fi
  tfrun "$python_bin" tensorflow/tools/ci_build/update_version.py --nightly
  # replace tensorflow to tf_nightly in the wheel name
  export TFCI_BUILD_PIP_PACKAGE_WHEEL_NAME_ARG="$(echo $TFCI_BUILD_PIP_PACKAGE_WHEEL_NAME_ARG | sed 's/tensorflow/tf_nightly/')"
  export TFCI_BUILD_PIP_PACKAGE_ADDITIONAL_WHEEL_NAMES="$(echo $TFCI_BUILD_PIP_PACKAGE_ADDITIONAL_WHEEL_NAMES | sed 's/tensorflow/tf_nightly/g')"
fi

import com.vanniktech.maven.publish.KotlinJvm

plugins {
  kotlin("jvm")
  id("org.jetbrains.dokka")
  id("com.vanniktech.maven.publish.base")
  id("binary-compatibility-validator")
}

project.applyOsgi(
  "Export-Package: okhttp3.java.net.cookiejar",
  "Automatic-Module-Name: okhttp3.java.net.cookiejar",
  "Bundle-SymbolicName: com.squareup.okhttp3.java.net.cookiejar"
)

dependencies {
  "friendsApi"(projects.okhttp)

RUN pip install --no-cache-dir --upgrade -r /code/requirements.txt

COPY ./app /code/app

CMD ["fastapi", "run", "app/main.py", "--port", "80"]

# If running behind a proxy like Nginx or Traefik add --proxy-headers
# CMD ["fastapi", "run", "app/main.py", "--port", "80", "--proxy-headers"]
```

</details>

## What is a Container { #what-is-a-container }

            <_fixupmessages>^Classes found in the wrong directory: .*</_fixupmessages>
            <Export-Package>
              !com.google.common.base.internal,
              !com.google.common.util.concurrent.internal,
              !META-INF.*,
              com.google.common.*
            </Export-Package>
            <Import-Package>
              com.google.common.util.concurrent.internal,

import com.vanniktech.maven.publish.KotlinJvm

plugins {
  kotlin("jvm")
  id("org.jetbrains.dokka")
  id("com.vanniktech.maven.publish.base")
  id("binary-compatibility-validator")
}

project.applyOsgi(
  "Export-Package: okhttp3.logging",
  "Automatic-Module-Name: okhttp3.logging",
  "Bundle-SymbolicName: com.squareup.okhttp3.logging"
)

dependencies {
  "friendsApi"(projects.okhttp)

  testImplementation(libs.junit)