will have a more or less well-defined, stable, and limited amount of memory consumed by each of those containers (more than one if they are replicated).

And then you can set those same memory limits and requirements in your configurations for your container management system (for example in **Kubernetes**). That way it will be able to **replicate the containers** in the **available machines** taking into account the amount of memory needed by them, and the amount available in the machines...

When reviewing a pull request, it's better not to suggest changes in the same pull request, because it is LLM generated, and it won't be possible to make sure that small individual changes are replicated in other similar sections, or that they are preserved when translating the same content again.

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`

Load balancer'lı dağıtık sistem, request'leri uygulamanızın bulunduğu container'ların her birine sırayla **dağıtır**. Böylece her request, uygulamanızın birden fazla **replicated container**'ından biri tarafından işlenebilir.

    <!-- These packages are duplicated in ide-native from ide, don't require a package-info.java in each place -->
    <suppress checks="JavadocPackage"
              files=".*[/\\]ide-native[/\\]src[/\\]main[/\\]java[/\\]org[/\\]gradle[/\\]plugins[/\\]ide[/\\]api[/\\][^/\\]+"/>

    <!-- These packages are duplicated in platform-native from language-native, don't require a package-info.java in each place -->

    @Nullable ImmutableMapEntry<K, V>[] table = createEntryArray(tableSize);
    int mask = tableSize - 1;
    // If duplicates are allowed, this IdentityHashMap will record the final Entry for each
    // duplicated key. We will use this final Entry to overwrite earlier slots in the entries array
    // that have the same key. Then a second pass will remove all but the first of the slots that

/**
 * A map from artifact name to a set of class name prefixes that should be kept.
 * Artifacts matched by this map will be minified to only contain the specified
 * classes and the classes they depend on. The classes are not relocated, they all
 * remain in their original namespace. This reduces the final Gradle distribution
 * size and makes us more conscious of which parts of a library we really need.
 *

		// show warning message the callback name already exists
		if idx := getRIndex(names, c.name); idx > -1 && !c.replace && !c.remove && !cs[idx].remove {
			c.processor.db.Logger.Warn(context.Background(), "duplicated callback `%s` from %s\n", c.name, utils.FileWithLineNum())
		}
		names = append(names, c.name)
	}

	sortCallback = func(c *callback) error {
		if c.before != "" { // if defined before callback

### Preprocess the OpenAPI Specification for the Client Generator { #preprocess-the-openapi-specification-for-the-client-generator }

The generated code still has some **duplicated information**.

We already know that this method is related to the **items** because that word is in the `ItemsService` (taken from the tag), but we still have the tag name prefixed in the method name too. 😕

     * Displays the form for duplicating an existing data store configuration.
     *
     * @param id the ID of the data config to duplicate
     * @return HTML response for the data config creation form pre-populated with duplicated values
     */
    @Execute
    @Secured({ ROLE })
    public HtmlResponse duplicate(final String id) {
        saveToken();
        return asEditHtml().useForm(CreateForm.class, op -> {