# $TFCI_OUTPUT_DIR/script.log
exec > >(tee "$TFCI_OUTPUT_DIR/script.log") 2>&1

# Setup tfrun, a helper function for executing steps that can either be run
# locally or run under Docker. setup_docker.sh, below, redefines it as "docker
# exec".
# Important: "tfrun foo | bar" is "( tfrun foo ) | bar", not "tfrun (foo | bar)".
# Therefore, "tfrun" commands cannot include pipes -- which is

/// tip

Don't worry if some of these items about **containers**, Docker, or Kubernetes don't make a lot of sense yet.

I'll tell you more about container images, Docker, Kubernetes, etc. in a future chapter: [FastAPI in Containers - Docker](docker.md){.internal-link target=_blank}.

///

## Previous Steps Before Starting { #previous-steps-before-starting }

    $ ./bin/fess

更多详情请参阅 [安装指南](https://fess.codelibs.org/14.17/install/index.html)。

### Docker

我们在 [ghcr.io](https://github.com/orgs/codelibs/packages) 上提供了 Docker 镜像。我们还在[此存储库](https://github.com/codelibs/docker-fess/tree/master/compose)中提供了 Docker Compose (YAML) 文件。

### 浏览器 UI

- 搜索 UI: http://localhost:8080/

![Search UI](https://fess.codelibs.org/_images/fess_search_result1.png)

        shell: bash
        run: |
          running_containers=$(docker ps -q) && \
          if [[ $running_containers == "" ]]; then
            echo "No running containers";
          else
            echo "Running container(s) found" && \
            docker stop $running_containers;
          fi
          docker container prune -f
      - name: Clean repository
        shell: bash

* **Running on startup**
* ***Restarts***
* Replication (the number of processes running)
* **Memory**
* **Previous steps before starting**

## Containers and Docker { #containers-and-docker }

In the next chapter about [FastAPI in Containers - Docker](docker.md){.internal-link target=_blank} I'll explain some strategies you could use to handle the other **deployment concepts**.

* **Arbeitsspeicher**
* **Schritte vor dem Start**

## Container und Docker

Im nächsten Kapitel über [FastAPI in Containern – Docker](docker.md){.internal-link target=_blank} werde ich einige Strategien erläutern, die Sie für den Umgang mit den anderen **Deployment-Konzepten** verwenden können.

#   container and start fresh, run "docker rm -f tf". Removing the container
#   destroys some temporary bazel data and causes longer builds.
#
#   You will need the NVIDIA Container Toolkit for GPU testing:
#   https://github.com/NVIDIA/nvidia-container-toolkit
#
#   Note: if you interrupt a bazel command on docker (ctrl-c), you
#   will need to run `docker exec tf pkill bazel` to quit bazel.
#

/// tip | Заметка

Если вы не знаете, что такое **контейнеры**, Docker или Kubernetes, не переживайте.

Я поведаю Вам о контейнерах, образах, Docker, Kubernetes и т.п. в главе: [FastAPI внутри контейнеров - Docker](docker.md){.internal-link target=_blank}.

///

## Шаги, предшествующие запуску

Para más detalles, consulta la [Guía de Instalación](https://fess.codelibs.org/14.17/install/index.html).

### Docker

Proporcionamos imágenes de Docker en [ghcr.io](https://github.com/orgs/codelibs/packages). También proporcionamos un archivo Docker Compose (YAML) en [este repositorio](https://github.com/codelibs/docker-fess/tree/master/compose).

### Interfaz de Usuario en el Navegador

- Interfaz de búsqueda: http://localhost:8080/

    $ cd fess-14.17.x
    $ ./bin/fess

자세한 내용은 [설치 가이드](https://fess.codelibs.org/14.17/install/index.html)를 참조하십시오.

### Docker

우리는 [ghcr.io](https://github.com/orgs/codelibs/packages)에서 Docker 이미지를 제공합니다. 또한 [이 리포지토리](https://github.com/codelibs/docker-fess/tree/master/compose)에 Docker Compose (YAML) 파일도 제공합니다.

### 브라우저 UI

- 검색 UI: http://localhost:8080/