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docs/de/docs/deployment/docker.md
standardmäßig jedes Mal diejenigen für **einen einzelnen Container** abrufen (für den Container, der den spezifischen Request verarbeitet hat), anstatt die **akkumulierten Metriken** für alle replizierten Container abzurufen. In diesem Fall könnte einfacher sein, **einen Container** mit **mehreren Prozessen** und ein lokales Tool (z. B. einen Prometheus-Exporter) in demselben Container zu haben, welches Prometheus-Metriken für alle internen Prozesse sammelt und diese Metriken für diesen einzelnen...
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docs/en/docs/deployment/docker.md
A container image is comparable to the **program** file and contents, e.g. `python` and some file `main.py`.
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docs/en/docs/js/termynal.js
return attrs; } } /** * HTML API: If current script has container(s) specified, initialise Termynal. */ if (document.currentScript.hasAttribute('data-termynal-container')) { const containers = document.currentScript.getAttribute('data-termynal-container'); containers.split('|') .forEach(container => new Termynal(container))
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docs/de/docs/deployment/server-workers.md
!!! info Wenn Sie Container verwenden, beispielsweise mit Docker oder Kubernetes, erzähle ich Ihnen mehr darüber im nächsten Kapitel: [FastAPI in Containern – Docker](docker.md){.internal-link target=_blank}.
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.github/workflows/people.yml
GITHUB_CONTEXT: ${{ toJson(github) }} run: echo "$GITHUB_CONTEXT" - uses: actions/checkout@v4 # Ref: https://github.com/actions/runner/issues/2033 - name: Fix git safe.directory in container run: mkdir -p /home/runner/work/_temp/_github_home && printf "[safe]\n\tdirectory = /github/workspace" > /home/runner/work/_temp/_github_home/.gitconfig # Allow debugging with tmate - name: Setup tmate session
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docs/en/docs/deployment/server-workers.md
!!! info If you are using containers, for example with Docker or Kubernetes, I'll tell you more about that in the next chapter: [FastAPI in Containers - Docker](docker.md){.internal-link target=_blank}. In particular, when running on **Kubernetes** you will probably **not** want to use Gunicorn and instead run **a single Uvicorn process per container**, but I'll tell you about it later in that chapter.
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docs/en/docs/js/custom.js
}); termynals.push(termynal); }); } function loadVisibleTermynals() { termynals = termynals.filter(termynal => { if (termynal.container.getBoundingClientRect().top - innerHeight <= 0) { termynal.init(); return false; } return true; }); }
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docs/en/docs/deployment/concepts.md
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docs/pt/docs/deployment.md
```console $ docker build -t myimage . ---> 100% ``` </div> ### Inicie o container Docker * Rode um container baseado em sua imagem: <div class="termy"> ```console $ docker run -d --name mycontainer -p 80:80 myimage ``` </div> Agora você tem um servidor FastAPI otimizado em um container Docker. Auto-ajustado para seu servidor atual (e número de núcleos de CPU). ### Verifique
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docs/en/docs/fastapi-cli.md
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