cpuSubsystem              MetricSubsystem = "cpu_avg"
	storageClassSubsystem     MetricSubsystem = "storage_class"
	fileDescriptorSubsystem   MetricSubsystem = "file_descriptor"
	goRoutines                MetricSubsystem = "go_routine"
	ioSubsystem               MetricSubsystem = "io"
	nodesSubsystem            MetricSubsystem = "nodes"
	objectsSubsystem          MetricSubsystem = "objects"

	// non-profitable and allows to confirm that spinning does not do harm.
	// To achieve this we create excess of goroutines most of which do local work.
	// These goroutines yield during local work, so that switching from
	// a blocked goroutine to other goroutines is profitable.
	// As a matter of fact, this benchmark still triggers some spinning in the mutex.
	m := NewDRWMutex(ds, "")
	var acc0, acc1 uint64

      panels.timeSeries.base('CPU Usage', queries.cpuUsage, 'CPU usage of each running instance'),
      panels.timeSeries.base('Goroutines', queries.goroutines, 'Goroutine count for each running instance'),
    ]),
  ], panelHeight=10, startY=1)
  + g.util.grid.makeGrid([
    row.new('Push Information')
    + row.withPanels([
      panels.timeSeries.xdsPushes(

                  "uid": "$datasource"
               },
               "expr": "sum by (pod) (go_goroutines{app=\"istiod\"})",
               "legendFormat": "Goroutines ({{pod}})"
            }
         ],
         "title": "Goroutines",
         "type": "timeseries"
      },
      {
         "collapsed": false,
         "gridPos": {
            "h": 1,
            "w": 24,
            "x": 0,

			return buf.Bytes(), err
		}
	case madmin.ProfilerGoroutines:
		prof.ext = "txt"
		prof.record("goroutine", 1, "before")
		prof.record("goroutine", 2, "before,debug=2")
		prof.stopFn = func() ([]byte, error) {
			var buf bytes.Buffer
			err := pprof.Lookup("goroutine").WriteTo(&buf, 1)
			return buf.Bytes(), err
		}
	case madmin.ProfilerTrace:
		dirPath, err := os.MkdirTemp("", "profile")

## Coroutine'ler

**Coroutine**, bir `async def` fonksiyonu tarafından döndürülen değer için çok süslü bir terimdir. Python bunun bir fonksiyon gibi bir noktada başlayıp biteceğini bilir, ancak içinde bir `await` olduğunda dahili olarak da duraklatılabilir ⏸.

	return dstRec, nil
}

// Close - closes underlying reader.
func (r *Reader) Close() error {
	// Close the input.
	err := r.readCloser.Close()
	for range r.valueCh {
		// Drain values so we don't leak a goroutine.
		// Since we have closed the input, it should fail rather quickly.
	}
	return err
}

// NewReader - creates new JSON reader using readCloser.
func NewReader(readCloser io.ReadCloser, args *ReaderArgs) *Reader {

	acceptCh    chan acceptResult // channel where all TCP listeners write accepted connection.
	ctx         context.Context
	ctxCanceler context.CancelFunc
}

// start - starts separate goroutine for each TCP listener.  A valid new connection is passed to httpListener.acceptCh.
func (listener *httpListener) start() {
	// Closure to send acceptResult to acceptCh.

		m.outBlock <- struct{}{}
	}

	// Handler goroutine.
	var handlerErr atomic.Pointer[RemoteErr]
	go func() {
		wg.Wait()
		defer xioutil.SafeClose(send)
		err := m.handleRequests(ctx, msg, send, handler, handlerIn)
		if err != nil {
			handlerErr.Store(err)
		}
	}()

	// Response sender goroutine...
	go func(outBlock <-chan struct{}) {
		wg.Wait()

			bucketCh <- b
		}
	}
	xioutil.SafeClose(bucketCh)

	bucketResults := make(chan dataUsageEntryInfo, len(disks))

	// Start async collector/saver.
	// This goroutine owns the cache.
	var saverWg sync.WaitGroup
	saverWg.Add(1)
	go func() {
		// Add jitter to the update time so multiple sets don't sync up.