The main constraint to consider is that there has to be a **single** component handling the **port** in the **public IP**. And then it has to have a way to **transmit** the communication to the replicated **processes/workers**.

Here are some possible combinations and strategies:

* **Uvicorn** with `--workers`

		if err != nil {
			t.Fatalf("Test %d: %s: Failed to create HTTP request for PutBucketPolicyHandler: <ERROR> %v", i+1, instanceType, err)
		}
		// Since `apiRouter` satisfies `http.Handler` it has a ServeHTTP to execute the logic of the handler.
		// Call the ServeHTTP to execute the handler.
		apiRouter.ServeHTTP(recV4, reqV4)
		if recV4.Code != testCase.expectedRespStatus {

 *
 * <p>The {@code toString} method is forwarded to the delegate. Although this class does not
 * implement {@link Serializable}, a serializable subclass may be created since this class has a
 * parameter-less constructor.
 *
 * @author Mike Bostock
 * @since 2.0
 */
@GwtCompatible
public abstract class ForwardingObject {

  /** Constructor for use by subclasses. */

	ARCH=$(uname -m)
	case "${KNAME}" in
	SunOS)
		ARCH=$(isainfo -k)
		;;
	esac
}

## FIXME:
## In OSX, 'readlink -f' option does not exist, hence
## we have our own readlink -f behavior here.
## Once OSX has the option, below function is good enough.
##
## readlink() {
##     return /bin/readlink -f "$1"
## }
##
readlink() {
	TARGET_FILE=$1

	cd $(dirname $TARGET_FILE)
	TARGET_FILE=$(basename $TARGET_FILE)

I discovered Molten in the first stages of building **FastAPI**. And it has quite similar ideas:

* Based on Python type hints.
* Validation and documentation from these types.
* Dependency Injection system.

It doesn't use a data validation, serialization and documentation third-party library like Pydantic, it has its own. So, these data type definitions would not be reusable as easily.

              try {
                if (state() != State.STOPPING) {
                  // This means that the state has changed since we were scheduled. This implies
                  // that an execution of runOneIteration has thrown an exception and we have
                  // transitioned to a failed state, also this means that shutDown has already
                  // been called, so we do not want to call it again.
                  return;

     *
     * @return whether the share is in DFS
     */
    boolean isShareDfs();

    /**
     * Indicates whether the tree connection has been successfully established and has a valid tree ID.
     *
     * @return whether the tree id is a valid one
     */
    boolean isValidTid();

    for details.

    The summary is that it ignores one file in favor of the other.
    util.concurrent, like nearly all our packages, has two .gwt.xml files: one
    for prod and one for tests. However, unlike our other packages, as of this
    writing it has test supersource but no prod supersource.

    GWT happens to use the prod .gwt.xml, so it looks for no supersource for

 *       only by the subtypes mentioned below.
 *   <dt>{@link ListMultimap}
 *   <dd>An extension of {@link Multimap} which permits duplicate entries, supports random access of
 *       values for a particular key, and has <i>partially order-dependent equality</i> as defined
 *       by {@link ListMultimap#equals(Object)}. {@code ListMultimap} takes its name from the fact

}

// ContainsDuplicateTag - returns true if duplicate keys are present in And
func (a And) ContainsDuplicateTag() bool {
	x := make(map[string]struct{}, len(a.Tags))

	for _, t := range a.Tags {
		if _, has := x[t.Key]; has {
			return true
		}
		x[t.Key] = struct{}{}
	}

	return false