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...

/// tip | Consejo

No te preocupes si algunos de estos elementos sobre **contenedores**, Docker, o Kubernetes no tienen mucho sentido todavía.

Te contaré más sobre imágenes de contenedores, Docker, Kubernetes, etc. en un capítulo futuro: [FastAPI en Contenedores - Docker](docker.md){.internal-link target=_blank}.

///

## Pasos Previos Antes de Iniciar

	connection *grid.Connection
}

// IsOnline - returns whether REST client failed to connect or not.
func (c *lockRESTClient) IsOnline() bool {
	return c.connection.State() == grid.StateConnected
}

// Not a local locker
func (c *lockRESTClient) IsLocal() bool {
	return false
}

// Close - marks the client as closed.
func (c *lockRESTClient) Close() error {
	return nil
}

				"application/vnd.commonspace",
				"application/vnd.contact.cmsg",
				"application/vnd.cosmocaller",
				"application/vnd.crick.clicker",
				"application/vnd.crick.clicker.keyboard",
				"application/vnd.crick.clicker.palette",
				"application/vnd.crick.clicker.template",
				"application/vnd.crick.clicker.wordbank",
				"application/vnd.criticaltools.wbs+xml",
				"application/vnd.ctc-posml",
				"application/vnd.ctct.ws+xml",

- Additional memory overhead per container in docker v1.11 ([#21737](https://github.com/docker/docker/issues/21737))
- [List of upstream fixes](https://github.com/docker/docker/compare/v1.10.3...runcom:docker-1.10.3-stable) for docker v1.10 identified by RedHat

#### Rkt runtime Known Issues

- A detailed list of known issues can be found [here](https://github.com/kubernetes/kubernetes.github.io/blob/release-1.3/docs/getting-started-guides/rkt/notes.md)

	}
	// A UID is added for every resource.
	// We removed Add Rlocked entries
	if len(l.lockUID) != len(wResources)*m {
		t.Fatalf("lockUID len, got %d, want %d + %d", len(l.lockUID), 0, len(wResources)*m)
	}

	// Remove write locked
	for i, names := range wResources {
		arg := dsync.LockArgs{
			UID:       wUIDs[i],
			Resources: names[:],

    $ 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/