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...

    protected RepositorySystem system;

    @Inject
    protected PlexusContainer container;

    protected RepositorySystemSession session;

    @BeforeEach
    public void setUp() throws Exception {
        session = newMavenRepositorySystemSession(system);
    }

    protected PlexusContainer getContainer() {
        return container;
    }

    @Inject
    private org.apache.maven.repository.legacy.repository.ArtifactRepositoryFactory factory;

    @Inject
    private LegacySupport legacySupport;

    @Inject
    private PlexusContainer container;

    @Override
    public ArtifactRepositoryLayout getLayout(String layoutId) throws UnknownRepositoryLayoutException {
        return factory.getLayout(layoutId);
    }

    @Override

- github.com/aws/aws-sdk-go: [v1.38.49 → v1.44.116](https://github.com/aws/aws-sdk-go/compare/v1.38.49...v1.44.116)
- github.com/container-storage-interface/spec: [v1.6.0 → v1.7.0](https://github.com/container-storage-interface/spec/compare/v1.6.0...v1.7.0)
- github.com/containerd/ttrpc: [v1.0.2 → v1.1.0](https://github.com/containerd/ttrpc/compare/v1.0.2...v1.1.0)

## Pasos Previos Antes de Comenzar y Contenedores { #previous-steps-before-starting-and-containers }

Si estás usando contenedores (por ejemplo, Docker, Kubernetes), entonces hay dos enfoques principales que puedes usar.

### Múltiples Contenedores { #multiple-containers }

- github.com/container-storage-interface/spec: [v1.2.0 → v1.3.0](https://github.com/container-storage-interface/spec/compare/v1.2.0...v1.3.0)
- github.com/containerd/console: [v1.0.0 → v1.0.1](https://github.com/containerd/console/compare/v1.0.0...v1.0.1)
- github.com/containerd/containerd: [v1.4.1 → v1.4.4](https://github.com/containerd/containerd/compare/v1.4.1...v1.4.4)

### Node

* Summary of Container Runtime changes:
  * [beta] [cri-tools](https://github.com/kubernetes-incubator/cri-tools): CLI and validation tools for CRI is now v1.0.0-beta.0. This release mainly focused on UX improvements. [@feiskyer]

        title: Update the RBE images to the latest container versions
        committer: TensorFlow Release Automation <******@****.***>
        token: ${{ secrets.JENKINS_TOKEN }}
        reviewers: mihaimaruseac,learning-to-play,nitins17
        body: |
          This PR was created by a GitHub Actions workflow to update all the SIG Build-based RBE containers to the most recent containers. See:

## Install using Helm Charts

There are two paths for installing MinIO onto Kubernetes infrastructure:

- Use the [MinIO Operator](https://github.com/minio/operator)
- Use the community-maintained [Helm charts](https://github.com/minio/minio/tree/master/helm/minio)

     *
     * @param model The model to validate, must not be {@code null}.
     * @param request The model building request that holds further settings, must not be {@code null}.
     * @param problems The container used to collect problems that were encountered, must not be {@code null}.
     */
    void validateRawModel(Model model, ModelBuildingRequest request, ModelProblemCollector problems);

    /**