import org.mockserver.proxyconfiguration.ProxyConfiguration
import org.mockserver.socket.tls.KeyStoreFactory
import org.testcontainers.containers.MockServerContainer
import org.testcontainers.junit.jupiter.Container
import org.testcontainers.junit.jupiter.Testcontainers

@Testcontainers
class BasicProxyTest {
  @Container
  val mockServer: MockServerContainer =
    MockServerContainer(MOCKSERVER_IMAGE)
      .withNetworkAliases("mockserver")

    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

import org.mockserver.socket.tls.KeyStoreFactory
import org.testcontainers.containers.MockServerContainer
import org.testcontainers.junit.jupiter.Container
import org.testcontainers.junit.jupiter.Testcontainers
import org.testcontainers.utility.DockerImageName

@Testcontainers
class BasicMockServerTest {
  @Container
  val mockServer: MockServerContainer = MockServerContainer(MOCKSERVER_IMAGE)

  val client =

    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

  // +optional
  map<string, k8s.io.apimachinery.pkg.api.resource.Quantity> podFixed = 1;
}

// RuntimeClass defines a class of container runtime supported in the cluster.
// The RuntimeClass is used to determine which container runtime is used to run
// all containers in a pod. RuntimeClasses are (currently) manually defined by a
// user or cluster provisioner, and referenced in the PodSpec. The Kubelet is

        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:

OkHttp Container Tests
======================

This module contains tests against other services

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...

  // +optional
  map<string, k8s.io.apimachinery.pkg.api.resource.Quantity> podFixed = 1;
}

// RuntimeClass defines a class of container runtime supported in the cluster.
// The RuntimeClass is used to determine which container runtime is used to run
// all containers in a pod. RuntimeClasses are (currently) manually defined by a
// user or cluster provisioner, and referenced in the PodSpec. The Kubelet is

			Annotations: args.Annotations,
		},
		Spec: corev1.PodSpec{
			NodeName: args.NodeName,
			Volumes:  nil,
			InitContainers: []corev1.Container{
				{
					Name: args.InitContainerName,
				},
			},
			Containers: []corev1.Container{
				{
					Name: "payload-container",
				},
			},
		},
		Status: corev1.PodStatus{
			InitContainerStatuses: []corev1.ContainerStatus{
				*args.InitContainerStatus,
			},