All of these can be accessed via Prometheus dashboard. A sample list of exposed metrics along with their definition is available on our public demo server at

```sh
curl https://play.min.io/minio/v2/metrics/cluster
```

### List of metrics reported Cluster and Bucket level

 * publicly visible subclass), and I doubt any of our current or future Kotlin extensions for the
 * package will refer to the class. Plus, @ParametricNullness is only a temporary workaround,
 * anyway, so we just need to get by without the annotations here until Kotlin better understands
 * our other nullness annotations.
 */
final class Synchronized {
  private Synchronized() {}

 * publicly visible subclass), and I doubt any of our current or future Kotlin extensions for the
 * package will refer to the class. Plus, @ParametricNullness is only a temporary workaround,
 * anyway, so we just need to get by without the annotations here until Kotlin better understands
 * our other nullness annotations.
 */
final class Synchronized {
  private Synchronized() {}

```Python
from typing import List

my_list: List[str]
```

That's all standard Python syntax for type declarations.

Use that same standard syntax for model attributes with internal types.

So, in our example, we can make `tags` be specifically a "list of strings":

//// tab | Python 3.10+

```Python hl_lines="12"
{!> ../../docs_src/body_nested_models/tutorial002_py310.py!}
```

////

      const val OPENJSSE_PROPERTY = "openjsse"
      const val BOUNCYCASTLE_PROPERTY = "bouncycastle"
      const val LOOM_PROPERTY = "loom"

      /**
       * For whatever reason our BouncyCastle provider doesn't work with ECDSA keys. Just configure it
       * to use RSA-2048 instead.
       *
       * (We otherwise prefer ECDSA because it's faster.)
       */

---

"_**Netflix** is pleased to announce the open-source release of our **crisis management** orchestration framework: **Dispatch**! [built with **FastAPI**]_"

    // Service b startup takes at least 353 millis, but starting the timer is delayed by at least
    // 150 milliseconds. so in a perfect world the timing would be 353-150=203ms, but since either
    // of our sleep calls can be arbitrarily delayed we should just assert that there is a time
    // recorded.
    assertThat(startupTimes.get(b)).isNotNull();
  }

  public void testServiceStartStop() {

Then we use the request directly, and extract the body as `bytes`. This means that FastAPI won't even try to parse the request payload as JSON.

And then in our code, we parse that YAML content directly, and then we are again using the same Pydantic model to validate the YAML content:

//// tab | Pydantic v2

```Python hl_lines="26-33"

  }

  /**
   * Test to ensure we don't  throw a read timeout on responses that are progressing.  For this
   * case, we take a 4KiB body and throttle it to 1KiB/second.  We set the read timeout to two
   * seconds.  If our implementation is acting correctly, it will not throw, as it is progressing.
   */
  @ParameterizedTest
  @ArgumentsSource(ProtocolParamProvider::class)
  fun readTimeoutMoreGranularThanBodySize(
    protocol: Protocol,

             * A word about communicating header info to andx smbs
             *
             * This is where we recursively invoke the provided andx smb
             * object to write it's parameter words and bytes to our outgoing
             * array. Incedentally when these andx smbs are created they are not
             * necessarily populated with header data because they're not writing