buckets: # # Name of the bucket # - name: bucket1 # # Policy to be set on the # # bucket [none|download|upload|public] # policy: none # # Purge if bucket exists already # purge: false # # set versioning for # # bucket [true|false] # versioning: false # # set objectlocking for # # bucket [true|false] NOTE: versioning is enabled by default if you use locking # objectlocking: false # - name: bucket2 # policy: none # purge: false # versioning: true # # set objectlocking for # # bucket [true|false] NOTE:...

  metrics_path: /minio/v2/metrics/bucket
  scheme: http
  static_configs:
  - targets: ['localhost:9000']
```

##### Node (optional)

Optionally you can also collect per node metrics. This needs to be done on a per server instance.
The scrape configurations should use all the servers under `targets` so that graphing systems like
grafana can visualize them for all the nodes

```yaml
scrape_configs:
- job_name: minio-job

	r.input = make(chan *queueItem, runtime.GOMAXPROCS(0))
	r.readerWg.Add(1)

	// Start splitter
	go func() {
		defer close(r.input)
		defer close(r.queue)
		defer r.readerWg.Done()
		for {
			next, err := r.nextSplit(jsonSplitSize, r.bufferPool.Get().([]byte))
			q := queueItem{
				input: next,
				dst:   make(chan []jstream.KVS, 1),
				err:   err,
			}
			select {

		closeWithErr: rb.CloseWithError,
		h:            h,
		shardSize:    shardSize,
		canClose:     &sync.WaitGroup{},
		byteBuf:      buf,
	}
	bw.canClose.Add(1)
	go func() {
		defer bw.canClose.Done()

		totalFileSize := int64(-1) // For compressed objects length will be unknown (represented by length=-1)
		if length != -1 {

	target := &WebhookTarget{
		id:         event.TargetID{ID: id, Name: "webhook"},
		args:       args,
		loggerOnce: loggerOnce,
		transport:  transport,
		cancel:     cancel,
		cancelCh:   ctx.Done(),
	}

	return target, nil

   *
   * @param c the character to escape
   * @return the replacement characters, or {@code null} if no escaping was required
   */
  // TODO(dbeaumont,cpovirk): Rename this something better once refactoring done
  @CheckForNull
  protected abstract char[] escapeUnsafe(char c);

    int countToRemove = 30;
    AtomicInteger current = new AtomicInteger(countToRemove);

    when(backingMap.get(KEY)).thenReturn(current);
    // it's ok if removal fails: another thread may have done the remove
    when(backingMap.remove(KEY, current)).thenReturn(false);

    assertEquals(countToRemove, multiset.remove(KEY, countToRemove));
    assertEquals(0, current.get());
  }

			select {
			case ch <- itemOrErr[string]{Err: err}:
			case <-ctx.Done():
			}
			return
		}

		for obj := range objInfoCh {
			if obj.Err != nil {
				select {
				case ch <- itemOrErr[string]{Err: obj.Err}:
				case <-ctx.Done():
					return
				}
			}
			item := strings.TrimPrefix(obj.Item.Name, pathPrefix)

    Client--Plain-->CZ
    CZ-."HBONE (target)".->Server
    CZ--"HBONE (actual)"-->SZ
    SZ--Plain-->Server
```

### Pooling

User connections can be multiplexed over shared HBONE connections.
This is done through standard HTTP/2 pooling.
The pooling is keyed off the `{source identity, destination identity, destination ip}`.

### Headers

Ztunnel uses the following well-known headers in HBONE:

// save the content of the cache to minioMetaBackgroundOpsBucket with the provided name.
// Note that no locking is done when saving.
func (d *dataUsageCache) save(ctx context.Context, store objectIO, name string) error {
	select {
	case <-ctx.Done():
		return ctx.Err()
	case maxConcurrentScannerSaves <- struct{}{}:
	}

	buf := bytebufferpool.Get()
	defer func() {