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())
			q := queueItem{
				input: next,
				dst:   make(chan []jstream.KVS, 1),
				err:   err,
			}
			select {
			case <-r.close:

function(){return k.fireWith(this,arguments),this},fired:function(){return!!c}};return k},n.extend({Deferred:function(a){var b=[["resolve","done",n.Callbacks("once memory"),"resolved"],["reject","fail",n.Callbacks("once memory"),"rejected"],["notify","progress",n.Callbacks("memory")]],c="pending",d={state:function(){return c},always:function(){return e.done(arguments).fail(arguments),this},then:function(){var a=arguments;return n.Deferred(function(c){n.each(b,function(b,f){var g=n.isFunction(a[b...

repeated in a wondering tone.

  `Why, what are YOUR shoes done with?' said the Gryphon.  `I
mean, what makes them so shiny?'

  Alice looked down at them, and considered a little before she
gave her answer.  `They're done with blacking, I believe.'

  `Boots and shoes under the sea,' the Gryphon went on in a deep
voice, `are done with a whiting.  Now you know.'

	}
	go s.trackEWMA()
	return &s
}

func (sr *SRStats) trackEWMA() {
	for {
		select {
		case <-sr.movingAvgTicker.C:
			sr.updateMovingAvg()
		case <-GlobalContext.Done():
			return
		}
	}
}

func (sr *SRStats) updateMovingAvg() {
	sr.lock.Lock()
	defer sr.lock.Unlock()
	for _, s := range sr.M {
		s.XferRateLrg.measure.updateExponentialMovingAverage(time.Now())

		Endpoint  string
		ItemState madmin.ItemState
	}

	var wg sync.WaitGroup
	results := make([]Result, len(c.client.Endpoints))
	for i := range c.client.Endpoints {
		wg.Add(1)
		go func(i int) {
			defer wg.Done()

			client := kes.Client{
				Endpoints:  []string{c.client.Endpoints[i]},
				HTTPClient: c.client.HTTPClient,
			}

			var item madmin.ItemState
			if _, err := client.Status(ctx); err == nil {

  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

Then your API will (let's imagine):

* Send the invoice to some customer of the external developer.
* Collect the money.
* Send a notification back to the API user (the external developer).
    * This will be done by sending a POST request (from *your API*) to some *external API* provided by that external developer (this is the "callback").

## The normal **FastAPI** app { #the-normal-fastapi-app }

	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 {
			q := queueItem{
				input: next,
				dst:   make(chan [][]string, 1),
				err:   nextErr,
			}
			select {
			case <-r.close:
				return
			case r.queue <- &q:
			}

    /**
     * Negotiate password hashes with MSIE clients using NTLM SSP
     * @param req The servlet request
     * @param resp The servlet response
     * @param skipAuthentication If true the negotiation is only done if it is
     * initiated by the client (MSIE post requests after successful NTLM SSP
     * authentication). If false and the user has not been authenticated yet

/**
 * A mapping from disjoint nonempty ranges to non-null values. Queries look up the value associated
 * with the range (if any) that contains a specified key.
 *
 * <p>In contrast to {@link RangeSet}, no "coalescing" is done of {@linkplain
 * Range#isConnected(Range) connected} ranges, even if they are mapped to the same value.
 *
 * @author Louis Wasserman
 * @since 14.0
 */