}
      };
  private static final ListenerCallQueue.Event<Listener> RUNNING_EVENT =
      new ListenerCallQueue.Event<Listener>() {
        @Override
        public void call(Listener listener) {
          listener.running();
        }

        @Override
        public String toString() {
          return "running()";
        }
      };

    assertLessThan(NEW, STARTING);
    assertLessThan(NEW, TERMINATED);

    assertLessThan(STARTING, RUNNING);
    assertLessThan(STARTING, STOPPING);
    assertLessThan(STARTING, FAILED);

    assertLessThan(RUNNING, STOPPING);
    assertLessThan(RUNNING, FAILED);

    assertLessThan(STOPPING, FAILED);
    assertLessThan(STOPPING, TERMINATED);
  }

// 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;
}

research](https://scholar.google.com/scholar?q=gpu+side+channel) shows that it
might be possible to use side channel attacks on the GPU to leak data from other
running models or processes in the same system. GPUs can also have
implementation bugs that might allow attackers to leave malicious code running
and leak or tamper with applications from other users. Please report
vulnerabilities to the vendor of the affected hardware accelerator.

    }
  }

  private static class NoOpService extends AbstractService {
    boolean running = false;

    @Override
    protected void doStart() {
      assertFalse(running);
      running = true;
      notifyStarted();
    }

    @Override
    protected void doStop() {
      assertTrue(running);
      running = false;
      notifyStopped();
    }
  }

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** like 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))) {

     * State#RUNNING RUNNING}. This occurs when a service has successfully started.
     */
    public void running() {}

    /**
     * Called when the service transitions to the {@linkplain State#STOPPING STOPPING} state. The
     * only valid values for {@code from} are {@linkplain State#STARTING STARTING} or {@linkplain
     * State#RUNNING RUNNING}. This occurs when {@link Service#stopAsync} is called.

// Package-wide variables from generator "generated".
option go_package = "k8s.io/api/node/v1";

// 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;
}

    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]";
    }