val executor =
      ThreadPoolExecutor(
        // corePoolSize:
        0,
        // maximumPoolSize:
        Int.MAX_VALUE,
        // keepAliveTime:
        60L,
        TimeUnit.SECONDS,
        SynchronousQueue(),
        threadFactory,
      )

    override fun nanoTime() = System.nanoTime()

    override fun coordinatorNotify(taskRunner: TaskRunner) {

  // reason UnknownTimeZone.
  // More information can be found in https://kubernetes.io/docs/concepts/workloads/controllers/cron-jobs/#time-zones
  // +optional
  optional string timeZone = 8;

  // Optional deadline in seconds for starting the job if it misses scheduled
  // time for any reason.  Missed jobs executions will be counted as failed ones.
  // +optional
  optional int64 startingDeadlineSeconds = 2;

	for _, api := range APIs {
		list = append(list, madmin.KMSAPI{
			Method:  api.Method,
			Path:    api.Path,
			MaxBody: api.MaxBody,
			Timeout: int64(api.Timeout.Truncate(time.Second).Seconds()),
		})
	}
	return list, nil
}

// Stat returns the current KES status containing a
// list of KES endpoints and the default key ID.

## Problèmes/Questions

[discuss.codelibs.org](https://discuss.codelibs.org/c/FessEN/)

## Démarrage rapide

Il existe 2 manières d'essayer Fess. La première est de le télécharger et l'installer vous-même. La seconde est d'utiliser [Docker](https://www.docker.com/products/docker-engine).

### Télécharger et Installer/Exécuter

This can be quite noticeable when using `docker compose`. See this Docker Compose FAQ section for more technical details: <a href="https://docs.docker.com/compose/faq/#why-do-my-services-take-10-seconds-to-recreate-or-stop" class="external-link" target="_blank">Why do my services take 10 seconds to recreate or stop?</a>.

#### Directory Structure

You should now have a directory structure like:

```
.
├── app
│   ├── __init__.py

        localhostIpv4,
        localhostIpv6,
      )

    client =
      clientTestRule.newClientBuilder()
        .eventListenerFactory(clientTestRule.wrap(listener))
        .connectTimeout(60, TimeUnit.SECONDS) // Deliberately exacerbate slow fallbacks.
        .dns { dnsResults }
        .fastFallback(true)
        .build()
    url =
      serverIpv4.url("/")
        .newBuilder()
        .host("localhost")

      "ResponseBodyEnd", "ConnectionReleased", "CallEnd",
    )
  }

  @Test
  fun failedCallEventSequence() {
    server.enqueue(
      MockResponse.Builder()
        .headersDelay(2, TimeUnit.SECONDS)
        .build(),
    )
    client =
      client.newBuilder()
        .readTimeout(Duration.ofMillis(250))
        .build()
    val call =
      client.newCall(
        Request.Builder()

    assertThat(Adapters.parseGeneralizedTime("19920622123421Z"))
      .isEqualTo(date("1992-06-22T12:34:21.000+0000").time)
  }

  @Disabled("fractional seconds are not implemented")
  @Test
  fun `parse generalized time with fractional seconds`() {
    assertThat(Adapters.parseGeneralizedTime("19920722132100.3Z"))
      .isEqualTo(date("1992-07-22T13:21:00.300+0000").time)
  }

1. While `ztunnel-old` will not accept *new* connections, it will continue processing existing connections.
1. After `drain period` seconds, `ztunnel-old` will forcefully terminate any outstanding connections.

> [!NOTE]
> Kubernetes will eventually `SIGQUIT` our process if we do not terminate in time.

  // An update strategy to replace existing DaemonSet pods with new pods.
  // +optional
  optional DaemonSetUpdateStrategy updateStrategy = 3;

  // The minimum number of seconds for which a newly created DaemonSet pod should
  // be ready without any of its container crashing, for it to be considered
  // available. Defaults to 0 (pod will be considered available as soon as it
  // is ready).