##### Cluster

```yaml
scrape_configs:
- job_name: minio-job
  bearer_token: <secret>
  metrics_path: /minio/v2/metrics/cluster
  scheme: http
  static_configs:
  - targets: ['localhost:9000']
```

##### Bucket centric

```yaml
- job_name: minio-job-bucket
  bearer_token: <secret>
  metrics_path: /minio/v2/metrics/bucket
  scheme: http
  static_configs:
  - targets: ['localhost:9000']

- Remove iSCSI volume storage cleartext secrets in logs ([#81215](https://github.com/kubernetes/kubernetes/pull/81215), [@zouyee](https://github.com/zouyee))

   * MD5 (128 hash bits) hash function and the given secret key.
   *
   * <p>If you are designing a new system that needs HMAC, prefer {@link #hmacSha256} or other
   * future-proof algorithms <a
   * href="https://datatracker.ietf.org/doc/html/rfc6151#section-2.3">over {@code hmacMd5}</a>.
   *
   * @param key the secret key

    void testHandlePasswordOnly() throws Exception {
        JAASAuthenticator auth = new JAASAuthenticator("DOM", "user", "secret");
        PasswordCallback pc = new PasswordCallback("pass:", false);
        auth.handle(new Callback[] { pc });
        assertEquals("secret", new String(pc.getPassword()));
    }

    @Test
    @DisplayName("handle: empty user/domain edge yields '@' and null password")

		echo "server1 log:"
		cat "${WORK_DIR}/server1.log"
		echo "FAILED"
		purge "$WORK_DIR"
		exit 1
	fi

	if ! ./s3-check-md5 \
		-debug \
		-versions \
		-access-key minio \
		-secret-key minio123 \
		-endpoint "http://127.0.0.1:${start_port}/" 2>&1 | grep INTACT; then
		echo "server1 log:"
		cat "${WORK_DIR}/server1.log"
		echo "FAILED"
		mkdir -p inspects
		(
			cd inspects

func main() {
	flag.StringVar(&endpoint, "endpoint", "https://play.min.io", "S3 endpoint URL")
	flag.StringVar(&accessKey, "access-key", "Q3AM3UQ867SPQQA43P2F", "S3 Access Key")
	flag.StringVar(&secretKey, "secret-key", "zuf+tfteSlswRu7BJ86wekitnifILbZam1KYY3TG", "S3 Secret Key")
	flag.StringVar(&bucket, "bucket", "", "Select a specific bucket")
	flag.StringVar(&prefix, "prefix", "", "Select a prefix")

Los modelos Pydantic tienen un método `.dict()` que devuelve un `dict` con los datos del modelo.

Así que, si creamos un objeto Pydantic `user_in` como:

```Python
user_in = UserIn(username="john", password="secret", email="******@****.***")
```

y luego llamamos a:

```Python
user_dict = user_in.dict()
```

	}
	return nil
}

// getTokenSigningKey returns secret key used to sign JWT session tokens
func getTokenSigningKey() (string, error) {
	secret := globalActiveCred.SecretKey
	if globalSiteReplicationSys.isEnabled() {
		secretKey, err := globalSiteReplicatorCred.Get(GlobalContext)
		if err != nil {
			return "", err
		}
		return secretKey, nil
	}
	return secret, nil
}

```Python
user_in = UserIn(username="john", password="secret", email="******@****.***")
```

& ⤴️ 👥 🤙:

```Python
user_dict = user_in.dict()
```

👥 🔜 ✔️ `dict` ⏮️ 💽 🔢 `user_dict` (⚫️ `dict` ↩️ Pydantic 🏷 🎚).

& 🚥 👥 🤙:

```Python
print(user_dict)
```

👥 🔜 🤚 🐍 `dict` ⏮️:

```Python
{
    'username': 'john',
    'password': 'secret',
    'email': '******@****.***',

잠금 아이콘을 클릭하고 로그아웃한 다음 동일한 작업을 다시 시도하면 다음과 같은 HTTP 401 오류가 발생합니다.

```JSON
{
  "detail": "Not authenticated"
}
```

### 비활성된 유저

이제 비활성된 사용자로 시도하고, 인증해봅시다:

유저명: `alice`

패스워드: `secret2`

그리고 `/users/me` 경로와 함께 `GET` 작업을 사용해 봅시다.

다음과 같은 "Inactive user" 오류가 발생합니다:

```JSON
{
  "detail": "Inactive user"
}
```

## 요약