/// tip

Don't worry if some of these items about **containers**, Docker, or Kubernetes don't make a lot of sense yet.

/// tip | Tipp

Machen Sie sich keine Sorgen, wenn einige dieser Punkte zu **Containern**, Docker oder Kubernetes noch nicht viel Sinn ergeben.

Ich werde Ihnen in einem zukünftigen Kapitel mehr über Container-Images, Docker, Kubernetes, usw. erzählen: [FastAPI in Containern – Docker](docker.md){.internal-link target=_blank}.

///

## Schritte vor dem Start

import org.codelibs.fess.crawler.helper.impl.MimeTypeHelperImpl;
import org.dbflute.utflute.core.PlainTestCase;
import org.testcontainers.Testcontainers;
import org.testcontainers.containers.GenericContainer;
import org.testcontainers.containers.wait.strategy.HttpWaitStrategy;

import io.minio.MakeBucketArgs;
import io.minio.MinioClient;
import io.minio.PutObjectArgs;
import io.minio.SetObjectTagsArgs;

/**

Two alpha features were also added in this release.

The RuntimeClass alpha feature enables a node to surface multiple runtime options to support a variety of workload types.  Examples include native linux containers, and “sandboxed” containers that isolate the container from the host kernel.

/// info

Wenn Sie Container verwenden, beispielsweise mit Docker oder Kubernetes, erzähle ich Ihnen mehr darüber im nächsten Kapitel: [FastAPI in Containern – Docker](docker.md){.internal-link target=_blank}.

TFCI_BUILD_PIP_PACKAGE_WHEEL_NAME_ARG="--repo_env=WHEEL_NAME=tensorflow"
TFCI_DOCKER_ENABLE=1
TFCI_DOCKER_IMAGE=us-docker.pkg.dev/ml-oss-artifacts-published/ml-public-container/ml-build-arm64:latest
TFCI_DOCKER_PULL_ENABLE=1
TFCI_DOCKER_REBUILD_ARGS="--target=tf ci/official/containers/ml_build_arm64"
TFCI_INDEX_HTML_ENABLE=1
TFCI_LIB_SUFFIX="-cpu-linux-arm64"
TFCI_OUTPUT_DIR=build_output
TFCI_WHL_AUDIT_ENABLE=1

  - Changed the Pod API so that the `resources` defined for containers are mutable for `cpu` and `memory` resource types.
  - Added `resizePolicy` for containers in a pod to allow users control over how their containers are resized.
  - Added `allocatedResources` field to container status in pod status that describes the node resources allocated to a pod.
  - Added `resources` field to container status that reports actual resources applied to running containers.

#   TF uses hub.docker.com/r/tensorflow/build containers for CI,
#   and scripts on Linux create a persistent container called "tf"
#   which mounts your TensorFlow directory into the container.
#
#   Important: because the container is persistent, you cannot change TFCI
#   variables in between script executions. To forcibly remove the
#   container and start fresh, run "docker rm -f tf". Removing the container

t.target?t.target:this.defaultTarget,this.text="function"==typeof t.text?t.text:this.defaultText,this.container="object"===p(t.container)?t.container:document.body}},{key:"listenClick",value:function(t){var e=this;this.listener=u()(t,"click",function(t){return e.onClick(t)})}},{key:"onClick",value:function(t){var e=t.delegateTarget||t.currentTarget,n=this.action(e)||"copy",t=s({action:n,container:this.container,target:this.target(e),text:this.text(e)});this.emit(t?"success":"error",{action:n,text:t,trig...

                        "-s", "testuser2 private share;/testuser2;no;no;no;testuser2", //
                        "-g", "log level = 3");
        logger.info("Starting Samba container with image {}", IMAGE_NAME);
        sambaServer.start();
        logger.info("Samba container started");

        String host = sambaServer.getContainerIpAddress();
        Integer port = sambaServer.getMappedPort(445);