One of those distributed container management systems like Kubernetes normally has some integrated way of handling **replication of containers** while still supporting **load balancing** for the incoming requests. All at the **cluster level**.

     */
    @CanIgnoreReturnValue
    @GwtIncompatible("java.lang.ref.WeakReference")
    public InternerBuilder weak() {
      this.strong = false;
      return this;
    }

    /**
     * Sets the concurrency level that will be used by the to-be-built {@link Interner}.
     *
     * @see MapMaker#concurrencyLevel(int)
     */
    @CanIgnoreReturnValue
    public InternerBuilder concurrencyLevel(int concurrencyLevel) {

///

## Other models { #other-models }

You can now get the current user directly in the *path operation functions* and deal with the security mechanisms at the **Dependency Injection** level, using `Depends`.

And you can use any model or data for the security requirements (in this case, a Pydantic model `User`).

But you are not restricted to using some specific data model, class or type.

be same across the federated deployment, i.e. all the MinIO instances within a federated deployment should use same
etcd back-end.

#### MINIO_DOMAIN

This is the top level domain name used for the federated setup. This domain name should ideally resolve to a load-balancer
running in front of all the federated MinIO instances. The domain name is used to create sub domain entries to etcd. For

```
KEY:
storage_class  define object level redundancy

ARGS:
standard  (string)    set the parity count for default standard storage class e.g. "EC:4"
rrs       (string)    set the parity count for reduced redundancy storage class e.g. "EC:2"
comment   (sentence)  optionally add a comment to this setting
```

or environment variables

```
KEY:
storage_class  define object level redundancy

ARGS:

        single_not_embedded_field = True
        # If headers are in a Pydantic model, the way to disable convert_underscores
        # would be with Header(convert_underscores=False) at the Pydantic model level
        default_convert_underscores = getattr(
            first_field.field_info, "convert_underscores", True
        )

    params_to_process: dict[str, Any] = {}

    processed_keys = set()

set JVM_OPTS=-XX:+UseG1GC%FESS_JAVA_OPTS: =;%

if "%FESS_START_TYPE%" == "" set FESS_START_TYPE=manual

	loadDataUsage := func(ctx context.Context) (u DataUsageInfo, err error) {
		objLayer := newObjectLayerFn()
		if objLayer == nil {
			return u, err
		}

		// Collect cluster level object metrics.
		u, err = loadDataUsageFromBackend(GlobalContext, objLayer)
		return u, err
	}
	return cachevalue.NewFromFunc(1*time.Minute,
		cachevalue.Opts{ReturnLastGood: true},
		loadDataUsage)
}

## **FastAPI**'s `OAuth2PasswordBearer` { #fastapis-oauth2passwordbearer }

**FastAPI** provides several tools, at different levels of abstraction, to implement these security features.

In this example we are going to use **OAuth2**, with the **Password** flow, using a **Bearer** token. We do that using the `OAuth2PasswordBearer` class.

/// info

MinIO server configuration file allows users to provide topology that allows for heterogeneous hostnames, allowing MinIO to deployed in pre-existing environments without any further OS level configurations.

### Usage

```
minio server --config config.yaml
```