log.put("failing task running")
      throw RuntimeException("boom!")
    }

    queue.schedule("task", TimeUnit.MILLISECONDS.toNanos(200)) {
      log.put("normal task running")
      return@schedule -1L
    }

    queue.idleLatch().await(500, TimeUnit.MILLISECONDS)

    assertThat(log.take()).isEqualTo("failing task running")

    TestService service = new TestService();
    assertEquals(0, service.startUpCalled);
    service.startAsync().awaitRunning();
    assertEquals(1, service.startUpCalled);
    assertEquals(Service.State.RUNNING, service.state());
    assertThat(service.transitionStates).containsExactly(Service.State.STARTING);
  }

  public void testStart_failed() {
    final Exception exception = new Exception("deliberate");

                if (crawler1.crawlerContext.getStatus() == CrawlerStatus.RUNNING) {
                    break;
                }
                Thread.sleep(500);
            }
            assertEquals(CrawlerStatus.RUNNING, crawler1.crawlerContext.getStatus());
            for (int i = 0; i < 10; i++) {
                if (crawler2.crawlerContext.getStatus() == CrawlerStatus.RUNNING) {
                    break;
                }

Just keep in mind that when you read "server" in general, it could refer to one of those two things.

When referring to the remote machine, it's common to call it **server**, but also **machine**, **VM** (virtual machine), **node**. Those all refer to some type of remote machine, normally running Linux, where you run programs.

## Install the Server Program

    strategy:
      matrix:
        pyver: ['3.10']
    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

    String result;
    if (state == DONE) {
      result = "running=[DONE]";
    } else if (state instanceof Blocker) {
      result = "running=[INTERRUPTED]";
    } else if (state instanceof Thread) {
      // getName is final on Thread, no need to worry about exceptions
      result = "running=[RUNNING ON " + ((Thread) state).getName() + "]";
    } else {
      result = "running=[NOT STARTED YET]";
    }

  // The total number of nodes that should be running the daemon
  // pod (including nodes correctly running the daemon pod).
  // More info: https://kubernetes.io/docs/concepts/workloads/controllers/daemonset/
  optional int32 desiredNumberScheduled = 3;

  // numberReady is the number of nodes that should be running the daemon pod and have one
  // or more of the daemon pod running with a Ready Condition.
  optional int32 numberReady = 4;

		fi

		# Failure
		fail
	done

	if ! ps -p $pid1 1>&2 >/dev/null; then
		echo "minio-server-1 is not running." && fail
	fi

	if ! ps -p $pid2 1>&2 >/dev/null; then
		echo "minio-server-2 is not running." && fail
	fi

	if ! ps -p $pid3 1>&2 >/dev/null; then
		echo "minio-server-3 is not running." && fail
	fi

	if ! pkill minio; then
		fail
	fi

	sleep 1
	if pgrep minio; then

// Package-wide variables from generator "generated".
option go_package = "k8s.io/api/node/v1alpha1";

// Overhead structure represents the resource overhead associated with running a pod.
message Overhead {
  // podFixed represents the fixed resource overhead associated with running a pod.
  // +optional
  map<string, k8s.io.apimachinery.pkg.api.resource.Quantity> podFixed = 1;
}

    strategy:
      matrix:
        pyver: ['3.10']
    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