// Package-wide variables from generator "generated".
option go_package = "k8s.io/api/node/v1beta1";

// 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;
}

      matrix:
        pyver: ['3.9', '3.10', '3.11', '3.12']
    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

    + row.withPanels([
      panels.timeSeries.base('Ztunnel Versions', queries.istioBuild, 'Version number of each running instance'),
      panels.timeSeries.bytes('Memory Usage', queries.memUsage, 'Memory usage of each running instance'),
      panels.timeSeries.base('CPU Usage', queries.cpuUsage, 'CPU usage of each running instance'),
    ]),
    row.new('Network')
    + row.withPanels([

    private final CountDownLatch stopLatch = new CountDownLatch(1);

    private volatile boolean running = false;

    @Override
    public @Nullable Void call() throws InterruptedException {
      running = true;
      startLatch.countDown();
      stopLatch.await();
      running = false;
      return null;
    }

    public void waitForStart() throws InterruptedException {

Let's check back those deployment concepts from before:

* Security - HTTPS
* Running on startup
* Restarts
* **Replication (the number of processes running)**
* Memory
* Previous steps before starting

Up to this point, with all the tutorials in the docs, you have probably been running a **server program**, for example, using the `fastapi` command, that runs Uvicorn, running a **single process**.

                startedCrawlerNum++;
                activeCrawlerNum++;
                ThreadUtil.sleep(crawlingExecutionInterval);
                continue;
            }

            // check status
            for (int i = 0; i < startedCrawlerNum; i++) {
                if (!dataCrawlingThreadList.get(i).isRunning() && Constants.RUNNING.equals(dataCrawlingThreadStatusList.get(i))) {

      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