docker push "$TFCI_DOCKER_IMAGE"
  fi
fi

# Keep the existing "tf" container if it's already present.
# The container is not cleaned up automatically! Remove it with:
# docker rm tf
if ! docker container inspect tf >/dev/null 2>&1 ; then
  # Pass all existing TFCI_ variables into the Docker container
  env_file=$(mktemp)
  env | grep ^TFCI_ > "$env_file"

  if [[ $(uname -s) == MSYS_NT* ]]; then

services, that scale well. It is not about just retrofitting monolithic applications onto modern container based compute environment. A cloud-native application is portable and resilient by design, and can scale horizontally by simply replicating. Modern orchestration platforms like Kubernetes, DC/OS make replicating and managing containers in huge clusters easier than ever.

While containers provide isolated application execution environment, orchestration platforms allow seamless scaling...

        return attrs;
    }
}

/**
* HTML API: If current script has container(s) specified, initialise Termynal.
*/
if (document.currentScript.hasAttribute('data-termynal-container')) {
    const containers = document.currentScript.getAttribute('data-termynal-container');
    containers.split('|')
        .forEach(container => new Termynal(container))

    steps:
      - name: Stop old running containers (if any)
        shell: bash
        run: |
          running_containers=$(docker ps -q) && \
          if [[ $running_containers == "" ]]; then
            echo "No running containers";
          else
            echo "Running container(s) found" && \
            docker stop $running_containers;
          fi
          docker container prune -f
          docker image prune -af

/// info

If you are using containers, for example with Docker or Kubernetes, I'll tell you more about that in the next chapter: [FastAPI in Containers - Docker](docker.md){.internal-link target=_blank}.

In particular, when running on **Kubernetes** you will probably **not** want to use workers and instead run **a single Uvicorn process per container**, but I'll tell you about it later in that chapter.

///

    steps:
      - name: Stop old running containers (if any)
        shell: bash
        run: |
          running_containers=$(docker ps -q) && \
          if [[ $running_containers == "" ]]; then
            echo "No running containers";
          else
            echo "Running container(s) found" && \
            docker stop $running_containers;
          fi
          docker container prune -f
      - name: Clean repository

ue","makeArray","results","inArray","isXMLDoc","namespace","namespaceURI","docElem","ownerDocument","test","second","invert","matches","callbackExpect","arg","value","guid","Symbol","iterator","split","_i","pop","whitespace","rtrimCSS","RegExp","contains","a","b","bup","compareDocumentPosition","rcssescape","fcssescape","ch","asCodePoint","charCodeAt","escapeSelector","sel","preferredDoc","pushNative","Expr","outermostContext","sortInput","hasDuplicate","documentIsHTML","rbuggyQSA","dirruns","do...

    steps:
      - name: Stop old running containers (if any)
        shell: bash
        run: |
          running_containers=$(docker ps -q) && \
          if [[ $running_containers == "" ]]; then
            echo "No running containers";
          else
            echo "Running container(s) found" && \
            docker stop $running_containers;
          fi
          docker container prune -f
      - name: Clean repository

   * containers with a known order other than insertion order must override this method.
   *
   * <p>Note: This default implementation is overkill (but valid) for an unordered container. An
   * equally valid implementation for an unordered container is to throw an exception. The chosen
   * implementation, however, has the advantage of working for insertion-ordered containers, as
   * well.
   */
  @Override

Wenn Sie in hier **mehrere Container** hätten, würde Prometheus beim **Lesen der Metriken** standardmäßig jedes Mal diejenigen für **einen einzelnen Container** abrufen (für den Container, der den spezifischen Request verarbeitet hat), anstatt die **akkumulierten Metriken** für alle replizierten Container abzurufen.