}

	// Apply the deployment to the configured cluster.
	if err = ctx.ConfigKube(cfg.Cluster).
		YAML(cfg.Namespace.Name(), deploymentYAML).
		Apply(apply.NoCleanup); err != nil {
		return nil, fmt.Errorf("failed deploying echo %s to cluster %s: %v",
			cfg.ClusterLocalFQDN(), cfg.Cluster.Name(), err)
	}

	return &deployment{
		ctx:             ctx,
		cfg:             cfg,

* Memory
* Previous steps before starting

Up to this point, with all the tutorials in the docs, you have probably been running a **server program** like Uvicorn, running a **single process**.

When deploying applications you will probably want to have some **replication of processes** to take advantage of **multiple cores** and to be able to handle more requests.

Œx-minio-internal-inline-dataÄ true§MetaUsr ¬content-type­text/markdown€etagÙ 4af243ccccbadaf12545¡vÎeçnÐÎÓ° , €nullÅ%u&vÎ e ( [ ðK Ô X· Øü *š ÂWåion. Certain features such as versioning, object locking, and bucket replication require distributed deploying MinIO with Erasure Coding. For extended development and production, deploy MinIO with Erasure Coding enabled - specifically, with a *minimum* of 4 drives per MinIO server. See [MinIO Erasure Code Overview](https://min.io/docs/minio/linux/operati...

            </plugin>
        </plugins>
    </reporting>

    <profiles>
        <profile>
            <id>junit-release</id>
            <!--
            Signs all artifacts before deploying to Maven Central.
            -->
            <build>
                <plugins>
                    <plugin>
                        <!--

            </plugin>
        </plugins>
    </reporting>

    <profiles>
        <profile>
            <id>junit-release</id>
            <!--
            Signs all artifacts before deploying to Maven Central.
            -->
            <build>
                <plugins>
                    <plugin>
                        <!--

			shouldSkip = true
			continue
		}

		var ref *echo.Instance
		if idx == 0 {
			// ref only applies to the first cluster deployed to
			// refs shouldn't be used when deploying to multiple targetClusters
			// TODO: should we just panic if a ref is passed in a multi-cluster context?
			ref = i
		}
		perClusterConfig = perClusterConfig.DeepCopy()
		perClusterConfig.Cluster = ec

		return nil
	}
	// If not a pre-release version, handle the validation normally.
	if k8sVersion.LessThan(mcpVersion) {
		return errors.Errorf("this version of kubeadm only supports deploying clusters with the control plane version >= %s. Current version: %s",
			mcpVersion, cfg.KubernetesVersion)
	}
	return nil
}

But everything else it can do is supplied by plugins.

Plugins encapsulate logic for specific tasks or integrations, such as compiling code, running tests, or deploying artifacts.
By applying plugins, users can easily add new features to their build process without having to write complex code from scratch.

This plugin-based approach allows Gradle to be lightweight and modular.

It might represent a library JAR, a web application, or a distribution ZIP assembled from the JARs produced by other projects.

On the other hand, it might represent a thing to be done, such as deploying your application to staging or production environments.

Gradle scripts are written in either Groovy DSL or Kotlin DSL (domain-specific language).

apiVersion: kubeproxy.config.k8s.io/v1alpha1
kind: KubeProxyConfiguration
mode: ipvs
...
```

before running

`kubeadm init --config <path_to_configuration_file>`

to specify the ipvs mode before deploying the cluster.

**Notes**
If ipvs mode is successfully on, you should see IPVS proxy rules (use `ipvsadm`) like
```shell
 # ipvsadm -ln
IP Virtual Server version 1.2.1 (size=4096)