// -t mangle -A PREROUTING -j ISTIO_PRERT
	iptablesBuilder.AppendRule(
		iptableslog.UndefinedCommand, iptablesconstants.PREROUTING, iptablesconstants.MANGLE,
		"-j", ChainInpodPrerouting,
	)

	// -t mangle -A OUTPUT -p tcp -j ISTIO_OUTPUT
	iptablesBuilder.AppendRule(
		iptableslog.UndefinedCommand, iptablesconstants.OUTPUT, iptablesconstants.MANGLE,
		"-j", ChainInpodOutput,
	)

  }

  private static final Range<Comparable> ALL = new Range<>(Cut.belowAll(), Cut.aboveAll());

  /**
   * Returns a range that contains every value of type {@code C}.
   *
   * @since 14.0
   */
  @SuppressWarnings("unchecked")
  public static <C extends Comparable<?>> Range<C> all() {
    return (Range) ALL;
  }

  /**

  }

  private static final Range<Comparable> ALL = new Range<>(Cut.belowAll(), Cut.aboveAll());

  /**
   * Returns a range that contains every value of type {@code C}.
   *
   * @since 14.0
   */
  @SuppressWarnings("unchecked")
  public static <C extends Comparable<?>> Range<C> all() {
    return (Range) ALL;
  }

  /**

#### Docker Compose

You could be deploying to a **single server** (not a cluster) with **Docker Compose**, so you wouldn't have an easy way to manage replication of containers (with Docker Compose) while preserving the shared network and **load balancing**.

      MemoryReleaser memory_releaser, void* memory_releaser_arg) = 0;

  // Create a handle to wrap and manage a Tensor
  virtual ImmediateExecutionTensorHandle* CreateLocalHandle(
      AbstractTensorInterface* t) = 0;
  // Copy the handle to another device.
  virtual ImmediateExecutionTensorHandle* CopyTensorHandleToDevice(
      ImmediateExecutionTensorHandle* handle, const char* device_name,
      absl::Status* status) = 0;

* **Cloud services** that handle this for you
    * The cloud service will probably **handle replication for you**. It would possibly let you define **a process to run**, or a **container image** to use, in any case, it would most probably be **a single Uvicorn process**, and the cloud service would be in charge of replicating it.

/// tip

	// There is flow control in both directions.
	StreamHandler struct {
		// Handle an incoming request. Initial payload is sent.
		// Additional input packets (if any) are streamed to request.
		// Upstream will block when request channel is full.
		// Response packets can be sent at any time.
		// Any non-nil error sent as response means no more responses are sent.
		Handle StreamHandlerFn

		// Subroute for handler.

	newFormats := make([][]*formatErasureV3, setCount)
	for i := range refFormat.Erasure.Sets {
		newFormats[i] = make([]*formatErasureV3, setDriveCount)
	}
	currentDisksInfo := make([][]DiskInfo, setCount)
	for i := range refFormat.Erasure.Sets {
		currentDisksInfo[i] = make([]DiskInfo, setDriveCount)
	}
	for i := range refFormat.Erasure.Sets {
		for j := range refFormat.Erasure.Sets[i] {

	const requests = 10
	// Create n managers.
	for _, remote := range grid.Managers {
		// Register a single handler which echos the payload.
		errFatal(remote.RegisterStreamingHandler(handlerTest, StreamHandler{
			// Send 10x requests.
			Handle: func(ctx context.Context, payload []byte, in <-chan []byte, out chan<- []byte) *RemoteErr {
				got := 0
				for b := range in {
					PutByteBuffer(b)
					got++
				}

import javax.annotation.CheckForNull;

/**
 * Base class for implementing services that can handle {@link #doStart} and {@link #doStop}
 * requests, responding to them with {@link #notifyStarted()} and {@link #notifyStopped()}
 * callbacks. Its subclasses must manage threads manually; consider {@link
 * AbstractExecutionThreadService} if you need only a single execution thread.
 *
 * @author Jesse Wilson
 * @author Luke Sandberg
 * @since 1.0
 */