return cfg, err
	}
	cfg.RemoteTransportDeadline = remoteTransportDeadline

	listQuorum := env.Get(EnvAPIListQuorum, kvs.GetWithDefault(apiListQuorum, DefaultKVS))
	switch listQuorum {
	case "strict", "optimal", "reduced", "disk", "auto":
	default:
		return cfg, fmt.Errorf("invalid value %v for list_quorum: will default to 'strict'", listQuorum)
	}
	cfg.ListQuorum = listQuorum

Notably, this prevents us from sending a GOAWAY to notify peers we have shutdown.

As a result, while we meet our two must-haves (send and accept traffic throughout the entire pod lifetime), we do not have an optimal solution here yet.
Alternatively, we could send the GOAWAY prior to the pod termination (assuming this allows existing and new connections to function still).

## Ztunnel Shutdown/Upgrade/Restart

		if v == nil {
			field.ReflectValueOf(ctx, value).Set(reflect.New(field.FieldType).Elem())
		} else {
			reflectV := reflect.ValueOf(v)
			// Optimal value type acquisition for v
			reflectValType := reflectV.Type()

			if reflectValType.AssignableTo(field.FieldType) {
				if reflectV.Kind() == reflect.Ptr && reflectV.Elem().Kind() == reflect.Ptr {

	return c(ctx, network, address)
}

const (
	defaultOutQueue    = 65535    // kind of close to max open fds per user
	readBufferSize     = 32 << 10 // 32 KiB is the most optimal on Linux
	writeBufferSize    = 32 << 10 // 32 KiB is the most optimal on Linux
	defaultDialTimeout = 2 * time.Second
	connPingInterval   = 10 * time.Second
	connWriteTimeout   = 3 * time.Second
)

type connectionParams struct {

 * Second, it is always backed by an array large enough to hold a value for every possible
 * combination of row and column keys. (This is rarely optimal unless the table is extremely dense.)
 * Finally, every possible combination of row and column keys is always considered to have a value
 * associated with it: It is not possible to "remove" a value, only to replace it with {@code null},

// acceptable quorum expected for list operations
func getListQuorum(quorum string, driveCount int) int {
	switch quorum {
	case "disk":
		return 1
	case "reduced":
		return 2
	case "optimal":
		return (driveCount + 1) / 2
	case "auto":
		return -1
	}
	// defaults to 'strict'
	return driveCount
}

	}
	if buffered := wr.Buffered(); buffered != wantBuffered {
		t.Fatalf("Buffered = %v; want %v", buffered, wantBuffered)
	}
}

func BenchmarkReaderCopyOptimal(b *testing.B) {
	// Optimal case is where the underlying reader implements io.WriterTo
	srcBuf := bytes.NewBuffer(make([]byte, 8192))
	src := NewReader(srcBuf)
	dstBuf := new(bytes.Buffer)
	dst := onlyWriter{dstBuf}
	for i := 0; i < b.N; i++ {

	maxProcs := runtime.GOMAXPROCS(0)
	cpuProcs := runtime.NumCPU()
	if maxProcs < cpuProcs {
		warnings = append(warnings, color.YellowBold("Detected GOMAXPROCS(%d) < NumCPU(%d), please make sure to provide all PROCS to MinIO for optimal performance",
			maxProcs, cpuProcs))
	}

	// Initialize grid
	bootstrapTrace("initGrid", func() {
		logger.FatalIf(initGlobalGrid(GlobalContext, globalEndpoints), "Unable to configure server grid RPC services")

	// in the 10 node shard would coordinate between other 9 shards to get the
	// rest of the `99*9` requests.
	//
	// This essentially splits the workload properly and also allows for network
	// utilization to be optimal, instead of blindly throttling the way we are
	// doing below. However the changes that are needed here are a bit involved,
	// further discussion advised. Remove this comment and remove the worker model

 */
@DoNotMock("Use Optional.of(value) or Optional.absent()")
@GwtCompatible(serializable = true)
@ElementTypesAreNonnullByDefault
public abstract class Optional<T> implements Serializable {
  /**
   * Returns an {@code Optional} instance with no contained reference.
   *
   * <p><b>Comparison to {@code java.util.Optional}:</b> this method is equivalent to Java 8's
   * {@code Optional.empty}.
   */
  public static <T> Optional<T> absent() {