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**Description**
- The `airflow serve_logs` command has been removed from the CLI as of 2.0.0
- When using `CeleryExecutor`, the `airflow celery worker` command runs the `serve_logs` process in the background.
- We should do the same with `airflow scheduler` command when using `LocalExecutor` or `SequentialExecutor`
 
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**Use case / motivation**
- This will allow for viewing task logs in the UI when using `LocalExecutor` or `SequentialExecutor` without elasticsearch configured.

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**Are you willing to submit a PR?**
Yes. Working with @dimberman .

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**Related Issues**
- https://github.com/apache/airflow/issues/14222
- https://github.com/apache/airflow/issues/13331

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airflow/cli/cli_parser.py
)
ARG_QUEUES = Arg(
    ("-q", "--queues"),
    help="Comma delimited list of queues to serve",
    default=conf.get('operators', 'DEFAULT_QUEUE'),
)
ARG_CONCURRENCY = Arg(
    ("-c", "--concurrency"),
    type=int,
    help="The number of worker processes",
    default=conf.get('celery', 'worker_concurrency'),
)
ARG_CELERY_HOSTNAME = Arg(
    ("-H", "--celery-hostname"),
    help="Set the hostname of celery worker if you have multiple workers on a single machine",
)
ARG_UMASK = Arg(
    ("-u", "--umask"),
    help="Set the umask of celery worker in daemon mode",
    default=conf.get('celery', 'worker_umask'),
)
ARG_WITHOUT_MINGLE = Arg(
    ("--without-mingle",),
    default=False,
    help="Don’t synchronize with other workers at start-up",
    action="store_true",
)
ARG_WITHOUT_GOSSIP = Arg(
    ("--without-gossip",),
    default=False,