# Ztunnel

This document provides an overview of the architecture and design decisions around Ztunnel, the node-proxy component in ambient mode.

## Background and motivation

Motivations to implement ztunnel generally came from two areas.

First, and most importantly, it serves as a means to implement the real goal: waypoints.

Download a file, print its headers, and print its response body as a string.

The `string()` method on response body is convenient and efficient for small documents. But if the response body is large (greater than 1 MiB), avoid `string()` because it will load the entire document into memory. In that case, prefer to process the body as a stream.

=== ":material-language-kotlin: Kotlin"
    ```kotlin
      private val client = OkHttpClient()

        public String propertiesPath;

        @Option(name = "-e", aliases = "--expires", metaVar = "expires", usage = "Expires for documents")
        public String expires;

        @Option(name = "-h", aliases = "--hotThread", metaVar = "hotThread", usage = "Interval for Hot Thread logging")
        public Integer hotThread;

    /** The key of the message: Suggest from Documents */
    public static final String LABELS_suggest_documents_enabled = "{labels.suggest_documents_enabled}";

    /** The key of the message: Purge Suggest Documents Before */
    public static final String LABELS_purge_suggest_search_log_day = "{labels.purge_suggest_search_log_day}";

## This can be useful for LDAP password, etc
## The key in the secret must be 'config.env'
##
extraSecret: ~

## OpenID Identity Management
## The following section documents environment variables for enabling external identity management using an OpenID Connect (OIDC)-compatible provider.

                for (final Map<String, Object> document : documentItems) {
                    if (!first1) {
                        buf.append(',');
                    } else {
                        first1 = false;
                    }
                    buf.append('{');
                    boolean first2 = true;
                    for (final Map.Entry<String, Object> entry : document.entrySet()) {

format is used, MinIO synchronizes objects in the bucket with documents in the index. For each event in the MinIO, the server creates a document with the bucket and object name from the event as the document ID. Other details of the event are stored in the body of the document. Thus if an existing object is over-written in MinIO, the corresponding document in the Elasticsearch index is updated. If an object is deleted, the corresponding document is deleted from the index.

When the _access_ format...

		"The duration to wait before failing")
	analysisCmd.PersistentFlags().BoolVar(&ignoreUnknown, "ignore-unknown", false,
		"Don't complain about un-parseable input documents, for cases where analyze should run only on k8s compliant inputs.")
	analysisCmd.PersistentFlags().StringVarP(&revisionSpecified, "revision", "", "default",
		"analyze a specific revision deployed.")

 *   <li>It does not know how to look for classes when running under an Android VM. (ClassGraph does
 *       not support this directly, either, but ClassGraph documents how to <a
 *       href="https://github.com/classgraph/classgraph/wiki/Build-Time-Scanning">perform build-time
 *       classpath scanning and make the results available to an Android app</a>.)

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