# KMS IAM/Config Encryption

MinIO supports encrypting config, IAM assets with KMS provided keys. If the KMS is not enabled, MinIO will store the config, IAM data as plain text erasure coded in its backend.

## MinIO KMS Quick Start

MinIO supports two ways of encrypting IAM and configuration data.
You can either use KES - together with an external KMS - or, much simpler,

							<span class="status-text"><la:message key="labels.chat_status_ready" /></span>
						</div>
						<div class="d-flex gap-2">
							<button type="button" id="filterToggleBtn" class="btn btn-outline-secondary btn-sm" data-bs-toggle="collapse" data-bs-target="#filterPanel" aria-expanded="false" aria-controls="filterPanel">
								<i class="fa fa-filter" aria-hidden="true"></i>
								<la:message key="labels.chat_filter" />

SSE, HTTP üzerinden sunucudan istemciye veri akışı için bir standarttır.

Her olay, aralarında boş satırlar bulunan ve `data`, `event`, `id` ve `retry` gibi "alanlar" içeren küçük bir metin bloğudur.

Şuna benzer:

```
data: {"name": "Portal Gun", "price": 999.99}

data: {"name": "Plumbus", "price": 32.99}

```

    return new ByteSourceFactory() {
      @Override
      public ByteSource createSource(byte[] data) throws IOException {
        return factory.createSource(new String(data, UTF_8)).asByteSource(UTF_8);
      }

      @Override
      public byte[] getExpected(byte[] data) {
        return factory.getExpected(new String(data, UTF_8)).getBytes(UTF_8);
      }

      @Override

    /**
     * Do not instantiate.
     */
    protected Base64Util() {
    }

    /**
     * Encodes data in Base64.
     * <p>
     * This method uses {@link java.util.Base64.Encoder} for encoding.
     * </p>
     *
     * @param inData
     *            The data to encode
     * @return The encoded data, or an empty string if the input is null or empty
     */
    public static String encode(final byte[] inData) {

Pydantic models have a `.model_dump()` method that returns a `dict` with the model's data.

So, if we create a Pydantic object `user_in` like:

```Python
user_in = UserIn(username="john", password="secret", email="******@****.***")
```

and then we call:

```Python
user_dict = user_in.model_dump()
```

we now have a `dict` with the data in the variable `user_dict` (it's a `dict` instead of a Pydantic model object).

  });

  $(document).on("click touchend", function(e) {
    if (!$(e.target).closest("#searchOptions, [data-toggle='control-options']").length) {
      $("#searchOptions").removeClass("active");
    }
  });

  $("[data-toggle='control-options']").on("click", function(e) {
    e.preventDefault();
    var target = $(this).attr("data-target") || $(this).attr("href");
    if (target) {
      $(target).toggleClass("active");
    }
  });

        `tf.data.Dataset.group_by_window` and deprecating the experimental
        endpoint.
    *   Promoting `tf.data.experimental.RandomDataset` API to
        `tf.data.Dataset.random` and deprecating the experimental endpoint.
    *   Promoting `tf.data.experimental.scan` API to `tf.data.Dataset.scan` and
        deprecating the experimental endpoint.

## Filter Data - Security { #filter-data-security }

To ensure that you don't return more data than you should, read the docs for [Tutorial - Response Model - Return Type](../tutorial/response-model.md).

## Optimize Response Performance - Response Model - Return Type { #optimize-response-performance-response-model-return-type }

/**
 * Search request body for data configuration administration.
 * Extends BaseSearchBody with data configuration-specific search parameters.
 */
public class SearchBody extends BaseSearchBody {

    /** The data configuration name to search for. */
    public String name;

    /** The handler name to search for in data configurations. */
    public String handlerName;