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
```

| `minio_node_drive_reads_per_sec`     | Reads per second on a drive.                             |
| `minio_node_drive_reads_kb_per_sec`  | Kilobytes read per second on a drive.                    |
| `minio_node_drive_reads_await`       | Average time for read requests to be served on a drive.  |
| `minio_node_drive_writes_per_sec`    | Writes per second on a drive.                            |

mc admin service restart myminio
```

NOTE: `http://endpoint:port/path` is a placeholder value to indicate the URL format, please change this accordingly as per your configuration.

MinIO also honors environment variable for HTTP target logging as shown below, this setting will override the endpoint settings in the MinIO server config.

```

		memCache:          "Cache memory on the node",
		memAvailable:      "Available memory on the node",
		readsPerSec:       "Reads per second on a drive",
		writesPerSec:      "Writes per second on a drive",
		readsKBPerSec:     "Kilobytes read per second on a drive",
		writesKBPerSec:    "Kilobytes written per second on a drive",
		readsAwait:        "Average time for read requests to be served on a drive",

require distributed deploying MinIO with Erasure Coding. For extended development and production, deploy MinIO with Erasure Coding enabled - specifically,
with a *minimum* of 4 drives per MinIO server. See [MinIO Erasure Code Overview](https://docs.min.io/community/minio-object-store/operations/concepts/erasure-coding.html)
for more complete documentation.

### Stable

	format *formatErasureV3

	// erasureDisks mutex to lock erasureDisks.
	erasureDisksMu sync.RWMutex

	// Re-ordered list of disks per set.
	erasureDisks [][]StorageAPI

	// Distributed locker clients.
	erasureLockers setsDsyncLockers

	// Distributed lock owner (constant per running instance).
	erasureLockOwner string

	// List of endpoints provided on the command line.
	endpoints PoolEndpoints

	var apiRequestsMaxPerNode int
	if cfg.RequestsMax <= 0 {
		maxSetDrives := slices.Max(setDriveCounts)

		// Returns 75% of max memory allowed
		maxMem := globalServerCtxt.MemLimit

		// max requests per node is calculated as
		// total_ram / ram_per_request
		blockSize := xioutil.LargeBlock + xioutil.SmallBlock
		if legacy {
			// ram_per_request is (1MiB+32KiB) * driveCount \

sync_events                     (boolean)   set to enable synchronous bucket notifications (default: 'off')
object_max_versions             (number)    set max allowed number of versions per object (default: '9223372036854775807')
```

or environment variables

```
MINIO_API_REQUESTS_MAX                    (number)    set the maximum number of concurrent requests (default: 'auto')

	)

	// MinIO Offline Disks per node
	ch <- prometheus.MustNewConstMetric(
		prometheus.NewDesc(
			prometheus.BuildFQName(minioNamespace, "disks", "offline"),
			"Total number of offline drives in current MinIO server instance",
			nil, nil),
		prometheus.GaugeValue,
		float64(offlineDisks.Sum()),
	)

	// MinIO Total Disks per node
	ch <- prometheus.MustNewConstMetric(

### One Process per Container { #one-process-per-container }

In this type of scenario, you probably would want to have **a single (Uvicorn) process per container**, as you would already be handling replication at the cluster level.