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docs/de/docs/project-generation.md
* **PGAdmin** für die PostgreSQL-Datenbank, können Sie problemlos ändern, sodass PHPMyAdmin und MySQL verwendet wird. * **Flower** für die Überwachung von Celery-Jobs. * Load Balancing zwischen Frontend und Backend mit **Traefik**, sodass Sie beide unter derselben Domain haben können, getrennt durch den Pfad, aber von unterschiedlichen Containern ausgeliefert.
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docs/fr/docs/deployment/docker.md
![ReDoc](https://fastapi.tiangolo.com/img/index/index-02-redoc-simple.png) ## Traefik <a href="https://traefik.io/" class="external-link" target="_blank">Traefik</a> est un reverse proxy/load balancer haute performance. Il peut faire office de "Proxy de terminaison TLS" (entre autres fonctionnalités).
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docs/en/docs/deployment/concepts.md
### Server Memory For example, if your code loads a Machine Learning model with **1 GB in size**, when you run one process with your API, it will consume at least 1 GB of RAM. And if you start **4 processes** (4 workers), each will consume 1 GB of RAM. So in total, your API will consume **4 GB of RAM**. And if your remote server or virtual machine only has 3 GB of RAM, trying to load more than 4 GB of RAM will cause problems. 🚨
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docs/pt/docs/deployment.md
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docs/en/docs/release-notes.md
from fastapi import FastAPI def fake_answer_to_everything_ml_model(x: float): return x * 42 ml_models = {} @asynccontextmanager async def lifespan(app: FastAPI): # Load the ML model ml_models["answer_to_everything"] = fake_answer_to_everything_ml_model yield # Clean up the ML models and release the resources ml_models.clear()
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docs/en/docs/project-generation.md
- 🔒 Secure password hashing by default. - 🔑 JWT token authentication. - 📫 Email based password recovery. - ✅ Tests with [Pytest](https://pytest.org). - 📞 [Traefik](https://traefik.io) as a reverse proxy / load balancer. - 🚢 Deployment instructions using Docker Compose, including how to set up a frontend Traefik proxy to handle automatic HTTPS certificates.
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README.md
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docs/en/docs/deployment/docker.md
As this component would take the **load** of requests and distribute that among the workers in a (hopefully) **balanced** way, it is also commonly called a **Load Balancer**. !!! tip The same **TLS Termination Proxy** component used for HTTPS would probably also be a **Load Balancer**.
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docs/de/docs/deployment/docker.md
### Ein Load Balancer – mehrere Workercontainer
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docs/en/docs/advanced/events.md
You could load it at the top level of the module/file, but that would also mean that it would **load the model** even if you are just running a simple automated test, then that test would be **slow** because it would have to wait for the model to load before being able to run an independent part of the code.
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