if err != nil {
		writeErrorResponse(ctx, w, toAPIError(ctx, err), r.URL)
		return
	}

	// Call site replication hook.
	//
	// We encode the xml bytes as base64 to ensure there are no encoding
	// errors.
	cfgStr := base64.StdEncoding.EncodeToString(configData)
	replLogIf(ctx, globalSiteReplicationSys.BucketMetaHook(ctx, madmin.SRBucketMeta{
		Type:      madmin.SRBucketMetaTypeSSEConfig,

# Compression Guide [![Slack](https://slack.min.io/slack?type=svg)](https://slack.min.io)

MinIO server allows streaming compression to ensure efficient disk space usage.
Compression happens inflight, i.e objects are compressed before being written to disk(s).
MinIO uses [`klauspost/compress/s2`](https://github.com/klauspost/compress/tree/master/s2)
streaming compression due to its stability and performance.

   * calling thread wait for that time.
   *
   * The simplest way to maintain a rate of QPS is to keep the timestamp of the last granted
   * request, and ensure that (1/QPS) seconds have elapsed since then. For example, for a rate of
   * QPS=5 (5 tokens per second), if we ensure that a request isn't granted earlier than 200ms after
   * the last one, then we achieve the intended rate. If a request comes and the last request was

`COMPLETED` only after the replication operation succeeds on each of the targets specified in the replication configuration. If multiple targets are configured to use active-active replication and multi destination replication, the administrator should ensure that the replication features enabled (such as replica metadata sync, delete marker replication etc) are identical to avoid asymmetric state. This is because all replication activity is inherently a one-way operation from source to target, irrespective...

```sh
mc admin trace myminio
```

To trace entire HTTP request

```sh
mc admin trace --verbose myminio
```

To trace entire HTTP request and also internode communication

```sh
mc admin trace --all --verbose myminio
```

## Subnet Health

      assertWrapsInterruptedException(expected);
    } finally {
      interruptenator.shutdown();
      Thread.interrupted();
    }
  }

  /**
   * awaitFullGc() is not quite as reliable a way to ensure calling of a specific finalize method as
   * the more direct await* methods, but should be reliable enough in practice to avoid flakiness of
   * this test. (And if it isn't, we'd like to know about it first!)
   */

   *
   * To avoid leaking resources callers should close the [Response] which in turn will close the
   * underlying [ResponseBody].
   *
   * ```java
   * // ensure the response (and underlying response body) is closed
   * try (Response response = client.newCall(request).execute()) {
   *   ...
   * }
   * ```
   *

	},
	{
		header: []byte{0x42, 0x5a, 'h'},
		f:      formatBZ2,
	},
}

type untarOptions struct {
	ignoreDirs bool
	ignoreErrs bool
	prefixAll  string
}

// disconnectReader will ensure that no reads can take place on
// the upstream reader after close has been called.
type disconnectReader struct {
	r  io.Reader
	mu sync.Mutex
}

func (d *disconnectReader) Read(p []byte) (n int, err error) {

        applyRule<DependencyRemovalByNameRule>(libs.samplesCheck, setOf("slf4j-simple"))

        // GCS transitively depends on commons-logging.
        // Ensure jcl-over-slf4j is pulled in when we use GCS so it can conflict.
        applyRule<DependencyAdditionRule>(libs.gcs, libs.jclToSlf4j)

It also re-declares `id: int`. By doing this, we are making a **contract** with the API clients, so that they can always expect the `id` to be there and to be an `int` (it will never be `None`).

/// tip

Having the return model ensure that a value is always available and always `int` (not `None`) is very useful for the API clients, they can write much simpler code having this certainty.