## Healthcheck Probe

MinIO server has two healthcheck related un-authenticated endpoints, a liveness probe to indicate if server is responding, cluster probe to check if server can be taken down for maintenance.

- Liveness probe available at `/minio/health/live`
- Cluster probe available at `/minio/health/cluster`

## Creating a hotfix branch

Customers in MinIO are allowed LTS on any release they choose to standardize. Production setups seldom change and require maintenance. Hotfix branches are such maintenance branches that allow customers to operate a production cluster without drastic changes to their deployment.

## Backporting a fix

*   Include unit tests when you contribute new features, as they help to a)
    prove that your code works correctly, and b) guard against future breaking
    changes to lower the maintenance cost.
*   Bug fixes also generally require unit tests, because the presence of bugs
    usually indicates insufficient test coverage.
*   Keep API compatibility in mind when you change code in core TensorFlow,

# generated artifacts like .whl files, and "script.log", from the script.
# Note that files created under Docker will be owned by "root".
ls build_output
```

## Contribution & Maintenance

The TensorFlow team does not yet have guidelines in place for contributing to
this directory. We are working on it. Please join a TF SIG Build meeting (see:

      }
    }

    if (connections.isEmpty()) cleanupQueue.cancelAll()

    for (policy in addressStates.values) {
      policy.scheduleOpener()
    }
  }

  /**
   * Performs maintenance on this pool, evicting the connection that has been idle the longest if
   * either it has exceeded the keep alive limit or the idle connections limit.
   *

  private val taskFaker = TaskFaker()
  private val taskRunner = taskFaker.taskRunner

  /**
   * Note that we don't use the same [TaskFaker] for this factory. That way off-topic tasks like
   * connection pool maintenance tasks don't add noise to route planning tests.
   */
  private val routePlanner = FakeRoutePlanner(taskFaker = taskFaker)
  private val finder = FastFallbackExchangeFinder(routePlanner, taskRunner)

  @AfterEach

* Le _chemin_ `/items/{item_id}` a un _<abbr title="en anglais : query param">paramètre de requête</abbr>_ optionnel `q` de type `str`.

### Documentation API interactive

Maintenant, rendez-vous sur <a href="http://127.0.0.1:8000/docs" class="external-link" target="_blank">http://127.0.0.1:8000/docs</a>.

### Bug Fixes and Other Changes

*  The use of the ambe config to build and test aarch64 is not needed. The ambe config will be removed in the future. Making cpu_arm64_pip.sh and cpu_arm64_nonpip.sh more similar for easier future maintenance.

# Release 2.12.0

### Breaking Changes

*   Build, Compilation and Packaging

Maintenant, voyons comment vous pourriez utiliser cela pour retourner une réponse personnalisée.

Disons que vous voulez retourner une réponse <a href="https://en.wikipedia.org/wiki/XML" class="external-link" target="_blank">XML</a>.

    Cela a en fait inspiré la mise à jour de certaines parties de Pydantic, afin de supporter le même style de déclaration de validation (toute cette fonctionnalité est maintenant déjà disponible dans Pydantic).

### <a href="https://www.hug.rest/" class="external-link" target="_blank">Hug</a>