#### **Cloud Provider Integration**

*   Added `cloud-controller-manager` to `hyperkube`. This is useful as a number of deployment tools run all of the kubernetes components from the `hyperkube `image/binary. It also makes testing easier as a single binary/image can be built and pushed quickly.  ([#54197](https://github.com/kubernetes/kubernetes/pull/54197),[ @colemickens](https://github.com/colemickens))

errors.design_jsp_file_does_not_exist = O arquivo JSP não existe.
errors.design_file_name_is_not_found = O nome do arquivo não foi especificado.
errors.failed_to_write_design_image_file = Não foi possível carregar o arquivo de imagem.
errors.failed_to_update_jsp_file = Não foi possível atualizar o arquivo JSP.
errors.design_file_name_is_invalid = O nome do arquivo é inválido.
errors.design_file_is_unsupported_type = Este tipo de arquivo não é suportado.

    /** The key of the message: WEBP Image */
    public static final String LABELS_facet_filetype_wepb = "{labels.facet_filetype_wepb}";

    /** The key of the message: BMP Image */
    public static final String LABELS_facet_filetype_bmp = "{labels.facet_filetype_bmp}";

    /** The key of the message: ICO Image */

	// execute the HTTP request to create bucket.
	response, err := s.client.Do(request)
	c.Assert(err, nil)
	c.Assert(response.StatusCode, http.StatusOK)

	// Uploading a new object with Content-Type "image/png".
	// content for the object to be uploaded.
	buffer1 := bytes.NewReader([]byte("hello world"))
	objectName := "test-object.png"
	// constructing HTTP request for object upload.

```console
$ docker build -t myimage .

---> 100%
```

</div>

/// tip | 팁

맨 끝에 있는 `.` 에 주목합시다. 이는 `./`와 동등하며, 도커에게 컨테이너 이미지를 빌드하기 위한 디렉터리를 알려줍니다.

이 경우에는 현재 디렉터리(`.`)와 같습니다.

///

### 도커 컨테이너 시작하기

* 여러분의 이미지에 기반하여 컨테이너를 실행합니다:

<div class="termy">

```console
$ docker run -d --name mycontainer -p 80:80 myimage
```

</div>

## 체크하기

![Interceptors Diagram](../assets/images/******@****.***)

### Application Interceptors

Interceptors are registered as either _application_ or _network_ interceptors. We'll use the `LoggingInterceptor` defined above to show the difference.

- **SMB/CIFS**: Windows shares (SMB1/SMB2+)
- **Storage**: MinIO/S3-compatible

### Content Formats

Office (Word, Excel, PowerPoint), PDF, Archives (ZIP, TAR, GZ), HTML, XML, JSON, Media (audio/video metadata), Images (EXIF/IPTC/XMP)

---

## Architecture

### Module Structure

```
fess-crawler-parent/
├── fess-crawler/              # Core framework
├── fess-crawler-lasta/        # LastaFlute DI integration

					<div class="me-3">
						<a class="link d-none d-sm-flex" href="${doc.url_link}" data-uri="${doc.url_link}" data-id="${doc.doc_id}"
							data-order="${s.index}"
						> <img src="${fe:url('/images/blank.png')}" alt="thumbnail"
							data-src="${fe:url('/thumbnail/')}?docId=${f:u(doc.doc_id)}&queryId=${f:u(queryId)}" class="thumbnail"
						>
						</a>
					</div>
					</c:if>

---

Common examples of CPU bound operations are things that require complex math processing.

For example:

* **Audio** or **image processing**.
* **Computer vision**: an image is composed of millions of pixels, each pixel has 3 values / colors, processing that normally requires computing something on those pixels, all at the same time.

---

Exemplos comuns de operações limitadas por CPU são coisas que exigem processamento matemático complexo.

Por exemplo:

* **Processamento de áudio** ou **imagem**
* **Visão Computacional**: uma imagem é composta por milhões de pixels, cada pixel tem 3 valores / cores, processar isso normalmente exige alguma computação em todos esses pixels ao mesmo tempo