<module>
<source path="">
  <!-- Hack to keep collect from hiding collect.testing supersource: -->
  <exclude name="**/testing/**"/>
</source>

<!--
    We used to set this only for packages that had manual supersource. That
    worked everywhere that I know of except for one place: when running the GWT
    util.concurrent tests under Guava.

    The problem is that GWT responds poorly to two .gwt.xml files in the same
    Java package; see

<module>
<source path="">
  <!-- Hack to keep collect from hiding collect.testing supersource: -->
  <exclude name="**/testing/**"/>
</source>

<!--
    We used to set this only for packages that had manual supersource. That
    worked everywhere that I know of except for one place: when running the GWT
    util.concurrent tests under Guava.

    The problem is that GWT responds poorly to two .gwt.xml files in the same
    Java package; see

ics-vidhya/deploy-machine-learning-models-with-keras-fastapi-redis-and-docker-4940df614ece title: Deploy Machine Learning Models with Keras, FastAPI, Redis and Docker - author: Mandy Gu author_link: https://towardsdatascience.com/@mandygu link: https://towardsdatascience.com/deploying-iris-classifications-with-fastapi-and-docker-7c9b83fdec3a title: 'Towards Data Science: Deploying Iris Classifications with FastAPI and Docker' - author: Michael Herman author_link: https://testdriven.io/authors/herman...

<module>
<source path="">
  <!-- Hack to keep collect from hiding collect.testing supersource: -->
  <exclude name="**/testing/**"/>
</source>

<!--
    We used to set this only for packages that had manual supersource. That
    worked everywhere that I know of except for one place: when running the GWT
    util.concurrent tests under Guava.

    The problem is that GWT responds poorly to two .gwt.xml files in the same
    Java package; see

### Action required

  * Docker v1.9.1 is officially recommended. Docker v1.8.3 and Docker v1.10 are
supported. If you are using an older release of Docker, please upgrade. Known
issues with Docker 1.9.1 can be found below.
  * CPU hardcapping will be enabled by default for containers with CPU limit set,

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

詳細については、[インストールガイド](https://fess.codelibs.org/14.17/install/index.html)を参照してください。

### Docker

[ghcr.io](https://github.com/orgs/codelibs/packages)にDockerイメージを提供しています。また、このリポジトリにはDocker Compose（YAML）ファイルも用意されています。[こちらのリポジトリ](https://github.com/codelibs/docker-fess/tree/master/compose)で確認できます。

### ブラウザUI

- 検索UI: http://localhost:8080/

    - 🧪 E2E 테스트를 위한 [Playwright](https://playwright.dev).
    - 🦇 다크 모드 지원.
- 🐋 [Docker Compose](https://www.docker.com): 개발 환경과 프로덕션(운영).
- 🔒 기본으로 지원되는 안전한 비밀번호 해싱.
- 🔑 JWT 토큰 인증.
- 📫 이메일 기반 비밀번호 복구.
- ✅ [Pytest]를 이용한 테스트(https://pytest.org).
- 📞 [Traefik](https://traefik.io): 리버스 프록시 / 로드 밸런서.
- 🚢 Docker Compose를 이용한 배포 지침: 자동 HTTPS 인증서를 처리하기 위한 프론트엔드 Traefik 프록시 설정 방법을 포함.

Pour plus de détails, consultez le [guide d'installation](https://fess.codelibs.org/14.17/install/index.html).

### Docker

Nous fournissons des images Docker sur [ghcr.io](https://github.com/orgs/codelibs/packages). Nous fournissons également un fichier Docker Compose (YAML) dans [ce dépôt](https://github.com/codelibs/docker-fess/tree/master/compose). 

### Interface Web

- Interface de recherche : http://localhost:8080/

    $ ./bin/fess

Para mais detalhes, veja o [Guia de Instalação](https://fess.codelibs.org/14.17/install/index.html).

### Docker

Nós fornecemos imagens Docker em [ghcr.io](https://github.com/orgs/codelibs/packages). Também fornecemos um arquivo Docker Compose (YAML) neste [repositório](https://github.com/codelibs/docker-fess/tree/master/compose).

### Interface do Navegador

- Interface de Busca: http://localhost:8080/

# MinIO Server Throttling Guide [![Slack](https://slack.min.io/slack?type=svg)](https://slack.min.io) [![Docker Pulls](https://img.shields.io/docker/pulls/minio/minio.svg?maxAge=604800)](https://hub.docker.com/r/minio/minio/)

MinIO server allows to throttle incoming requests:

- limit the number of active requests allowed across the cluster
- limit the wait duration for each request in the queue