| Minimum number of drives per server when server count is 1      | 02            |
| Minimum number of drives per server when server count is 2 or 3 | 01            |
| Minimum number of drives per server when server count is 4      | 01            |
| Maximum number of drives per server                             | no-limit      |
| Read quorum                                                     | N/2           |

Questo con le annotazioni per i tipi standard di Python.

Non c'è bisogno di imparare una nuova sintassi, metodi o classi specifici a una libreria, ecc.

È normalissimo **Python 3.6+**.

Per esempio, per un `int`:

```Python
item_id: int
```

o per un modello `Item` più complesso:

```Python
item: Item
```

message HorizontalPodAutoscalerBehavior {
  // scaleUp is scaling policy for scaling Up.
  // If not set, the default value is the higher of:
  //   * increase no more than 4 pods per 60 seconds
  //   * double the number of pods per 60 seconds
  // No stabilization is used.
  // +optional
  optional HPAScalingRules scaleUp = 1;

  // scaleDown is scaling policy for scaling Down.

message HorizontalPodAutoscalerBehavior {
  // scaleUp is scaling policy for scaling Up.
  // If not set, the default value is the higher of:
  //   * increase no more than 4 pods per 60 seconds
  //   * double the number of pods per 60 seconds
  // No stabilization is used.
  // +optional
  optional HPAScalingRules scaleUp = 1;

  // scaleDown is scaling policy for scaling Down.

 * }</pre>
 *
 * <p>As another example, imagine that we produce a stream of data, and we want to cap it at 5kb per
 * second. This could be accomplished by requiring a permit per byte, and specifying a rate of 5000
 * permits per second:
 *
 * <pre>{@code
 * final RateLimiter rateLimiter = RateLimiter.create(5000.0); // rate = 5000 permits per second
 * void submitPacket(byte[] packet) {
 *   rateLimiter.acquire(packet.length);

    + row.withPanels([
      panels.timeSeries.connections('Connections', queries.connections, 'Connections opened and closed per instance'),
      panels.timeSeries.bytesRate('Bytes Transmitted', queries.bytes, 'Bytes sent and received per instance'),
      panels.timeSeries.dns('DNS Request', queries.dns, 'DNS queries received per instance'),
    ]),
    row.new('Operations')
    + row.withPanels([
      panels.timeSeries.base(

 * }</pre>
 *
 * <p>As another example, imagine that we produce a stream of data, and we want to cap it at 5kb per
 * second. This could be accomplished by requiring a permit per byte, and specifying a rate of 5000
 * permits per second:
 *
 * <pre>{@code
 * final RateLimiter rateLimiter = RateLimiter.create(5000.0); // rate = 5000 permits per second
 * void submitPacket(byte[] packet) {
 *   rateLimiter.acquire(packet.length);

  // object refers to a metric describing a single kubernetes object
  // (for example, hits-per-second on an Ingress object).
  // +optional
  optional ObjectMetricSource object = 2;

  // pods refers to a metric describing each pod in the current scale target
  // (for example, transactions-processed-per-second).  The values will be
  // averaged together before being compared to the target value.
  // +optional

			Type:        "string",
		},
		config.HelpKV{
			Key:         ExcessVersions,
			Description: `alert per object beyond this many versions` + defaultHelpPostfix(ExcessVersions),
			Optional:    true,
			Type:        "int",
		},
		config.HelpKV{
			Key:         ExcessFolders,
			Description: `alert beyond this many sub-folders per folder in an erasure set` + defaultHelpPostfix(ExcessFolders),
			Optional:    true,
			Type:        "int",

  // object refers to a metric describing a single kubernetes object
  // (for example, hits-per-second on an Ingress object).
  // +optional
  optional ObjectMetricSource object = 2;

  // pods refers to a metric describing each pod in the current scale target
  // (for example, transactions-processed-per-second).  The values will be
  // averaged together before being compared to the target value.
  // +optional