if target.SourceBucket == bucket &&
				target.TargetBucket == bucket &&
				target.Endpoint == prevEp.Host &&
				target.Secure == (prevEp.Scheme == "https") &&
				target.Type == madmin.ReplicationService {
				bucketTarget := target
				bucketTarget.Secure = ep.Scheme == "https"
				bucketTarget.Endpoint = ep.Host
				if peer.DefaultBandwidth.IsSet && target.BandwidthLimit == 0 {

// Errors are ignored, only errors from the callback are returned.
// For now only direct file paths are supported.
func (z *erasureServerPools) GetRawData(ctx context.Context, volume, file string, fn func(r io.Reader, host string, disk string, filename string, info StatInfo) error) error {
	found := 0
	for _, s := range z.serverPools {
		for _, set := range s.sets {
			for _, disk := range set.getDisks() {
				if disk == OfflineDisk {

   * @since 15.0 (present as an interface in 14.0)
   */
  public abstract static class Listener {
    /**
     * Called when the service initially becomes healthy.
     *
     * <p>This will be called at most once after all the services have entered the {@linkplain
     * State#RUNNING running} state. If any services fail during start up or {@linkplain

   * following conditions:
   *
   * <ul>
   *   <li>You want to assign the same fraction of inputs to each bucket.
   *   <li>When you reduce the number of buckets, you can accept that the most recently added
   *       buckets will be removed first. More concretely, if you are dividing traffic among tasks,
   *       you can decrease the number of tasks from 15 and 10, killing off the final 5 tasks, and

   * @since 15.0 (present as an interface in 14.0)
   */
  public abstract static class Listener {
    /**
     * Called when the service initially becomes healthy.
     *
     * <p>This will be called at most once after all the services have entered the {@linkplain
     * State#RUNNING running} state. If any services fail during start up or {@linkplain

    }
    if (testsEquals) {
      testEquals(interfaceType, wrapperFunction);
    }
    testToString(interfaceType, wrapperFunction);
  }

  /** Returns the most concrete public methods from {@code type}. */
  private static Method[] getMostConcreteMethods(Class<?> type) {
    Method[] methods = type.getMethods();
    for (int i = 0; i < methods.length; i++) {
      try {

```

Here `prometheus.yml` is the name of configuration file. You can now see MinIO metrics in Prometheus dashboard. By default Prometheus dashboard is accessible at `http://localhost:9090`.

import (
	"encoding/json"
	"encoding/xml"
)

// Name - event type enum.
// Refer http://docs.aws.amazon.com/AmazonS3/latest/dev/NotificationHowTo.html#notification-how-to-event-types-and-destinations
// for most basic values we have since extend this and its not really much applicable other than a reference point.
// "s3:Replication:OperationCompletedReplication" is a MinIO extension.
type Name int

// Values of event Name
const (

RUN pip install --no-cache-dir --upgrade -r /code/requirements.txt

COPY ./app /code/app

CMD ["uvicorn", "app.main:app", "--host", "0.0.0.0", "--port", "80"]

# If running behind a proxy like Nginx or Traefik add --proxy-headers
# CMD ["uvicorn", "app.main:app", "--host", "0.0.0.0", "--port", "80", "--proxy-headers"]
```

</details>

## 컨테이너란

The most common is the implicit flow.

The most secure is the code flow, but it's more complex to implement as it requires more steps. As it is more complex, many providers end up suggesting the implicit flow.

/// note