assertEquals(200, response.getHttpStatusCode());
        }

        // ## Assert ##
        // After execute(), the threadPool should be restored
        // We verify by running async execute which should use the pool
        CountDownLatch latch = new CountDownLatch(1);
        AtomicReference<String> threadName = new AtomicReference<>();

<img class="shadow" src="/img/deployment/concepts/image01.png">

---

이제 **프로세스**와 **프로그램**의 차이를 알았으니, 배포에 대한 이야기를 계속해 보겠습니다.

## 시작 시 실행 { #running-on-startup }

대부분의 경우 웹 API를 만들면, 클라이언트가 언제나 접근할 수 있도록 **항상 실행**되고 중단되지 않기를 원합니다. 물론 특정 상황에서만 실행하고 싶은 특별한 이유가 있을 수는 있지만, 대부분은 지속적으로 실행되며 **사용 가능**한 상태이기를 원합니다.

### 원격 서버에서 { #in-a-remote-server }

TF_CAPI_EXPORT void TFE_ContextSetLogDevicePlacement(TFE_Context* ctx,
                                                     unsigned char enable,
                                                     TF_Status* status);

// Enables running eager ops as function.
TF_CAPI_EXPORT void TFE_ContextSetRunEagerOpAsFunction(TFE_Context* ctx,
                                                       unsigned char enable,

///

Alternativement, HTTPS pourrait être géré par un fournisseur cloud comme l'un de leurs services (tout en exécutant l'application dans un conteneur).

## Exécution au démarrage et redémarrages { #running-on-startup-and-restarts }

Il y a normalement un autre outil chargé de **démarrer et exécuter** votre conteneur.

Cela pourrait être **Docker** directement, **Docker Compose**, **Kubernetes**, un **service cloud**, etc.

- Fix kubelet restart unmounts volumes of running pods if the referenced PVC is being deleted by the user ([#130684](https://github.com/kubernetes/kubernetes/pull/130684), [@carlory](https://github.com/carlory)) [SIG Node, Storage and Testing]

and installation of the library.

  Activities other than copying, distribution and modification are not
covered by this License; they are outside its scope.  The act of
running a program using the Library is not restricted, and output from
such a program is covered only if its contents constitute a work based
on the Library (independent of the use of the Library in a tool for

- Fixed bug where dry run message was not printed when running `kubectl label` with `--dry-run` flag. ([#111571](https://github.com/kubernetes/kubernetes/pull/111571), [@brianpursley](https://github.com/brianpursley))

With **FastAPI** you can take advantage of concurrency that is very common for web development (the same main attraction of NodeJS).

But you can also exploit the benefits of parallelism and multiprocessing (having multiple processes running in parallel) for **CPU bound** workloads like those in Machine Learning systems.

A GODEBUG setting is a `key=value` pair
that controls the execution of certain parts of a Go program.
The environment variable `GODEBUG`
can hold a comma-separated list of these settings.
For example, if a Go program is running in an environment that contains

	GODEBUG=http2client=0,http2server=0

then that Go program will disable the use of HTTP/2 by default in both
the HTTP client and the HTTP server.

WORKDIR /code

COPY ./requirements.txt /code/requirements.txt

RUN pip install --no-cache-dir --upgrade -r /code/requirements.txt

COPY ./app /code/app

CMD ["fastapi", "run", "app/main.py", "--port", "80"]

# If running behind a proxy like Nginx or Traefik add --proxy-headers
# CMD ["fastapi", "run", "app/main.py", "--port", "80", "--proxy-headers"]
```

</details>

## コンテナとは何か { #what-is-a-container }