---

"_Ti o ba n wa láti kọ ọkan **ìlànà igbalode** fún kikọ àwọn REST API, ṣayẹwo **FastAPI** [...] Ó yára, ó rọrùn láti lò, ó sì rọrùn láti kọ́[...]_"

"_A ti yipada si **FastAPI** fún **APIs** wa [...] Mo lérò pé wà á fẹ́ràn rẹ̀ [...]_"

I'll show you how to **build your own image from scratch** to run a single Uvicorn process. It is a simple process and is probably what you would want to do when using a distributed container management system like **Kubernetes**.

## Recap { #recap }

You can use multiple worker processes with the `--workers` CLI option with the `fastapi` or `uvicorn` commands to take advantage of **multi-core CPUs**, to run **multiple processes in parallel**.

   The root credentials can now be changed easily.

> Does this mean I need an enterprise KMS setup to run MinIO (securely)?

No, MinIO does not depend on any third-party KMS provider. You have three options here:

- Run MinIO without a KMS. In this case all IAM data will be stored in plain-text.
- Run MinIO with a single secret key. MinIO supports a static cryptographic key

# `auditlog-echo`: A tool to view MinIO Audit logs on the console

1. Run the tool with:

```
go run docs/auditlog/auditlog-echo.go
```

The listen port has a default value (8080), but can be set with the `-port` flag.

2. Configure audit logging in MinIO with for example:

```
mc admin config set myminio audit_webhook enable=on endpoint=http://localhost:8080
```

## `fastapi run`

Chạy `fastapi run` mặc định sẽ khởi động FastAPI cho quá trình vận hành thực tế.

 */
@NullUnmarked
final class InterruptionUtil {
  private static final Logger logger = Logger.getLogger(InterruptionUtil.class.getName());

  /** Runnable which will interrupt the target thread repeatedly when run. */
  private static final class Interruptenator implements Runnable {
    private final long everyMillis;
    private final Thread interruptee;
    private volatile boolean shouldStop = false;

    ```bash
    docker run -it --rm -v $PWD:/tmp -w /tmp tensorflow/build:2.15-python3.10
    ```

    Once you have the packages installed, you can run a specific unit test in
    bazel by doing as follows:

    ```bash
    export flags="--config=linux -k"
    ```

    If the tests are to be run on the GPU:

      debug_enabled:
        description: 'Run the build with tmate debugging enabled (https://github.com/marketplace/actions/debugging-with-tmate)'
        required: false
        default: 'false'

jobs:
  latest-changes:
    runs-on: ubuntu-latest
    steps:
      - name: Dump GitHub context
        env:
          GITHUB_CONTEXT: ${{ toJson(github) }}
        run: echo "$GITHUB_CONTEXT"
      - uses: actions/checkout@v5

public final class PostStreamingWithPipe {
  public static final MediaType MEDIA_TYPE_MARKDOWN
      = MediaType.get("text/x-markdown; charset=utf-8");

  private final OkHttpClient client = new OkHttpClient();

  public void run() throws Exception {
    final PipeBody pipeBody = new PipeBody();

    Request request = new Request.Builder()
        .url("https://api.github.com/markdown/raw")
        .post(pipeBody)
        .build();

    assertTrue("Should run callable immediately", taskDone);
    assertEquals(6, (int) future.get());
  }

  public void testSameThreadScheduledExecutorWithException() throws InterruptedException {
    Runnable runnable =
        new Runnable() {
          @Override
          public void run() {
            throw new RuntimeException("Oh no!");
          }
        };