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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
("--ssl-key",),
    default=conf.get('webserver', 'WEB_SERVER_SSL_KEY'),
    help="Path to the key to use with the SSL certificate",
)
ARG_WORKERS = Arg(
    ("-w", "--workers"),
    default=conf.get('webserver', 'WORKERS'),
    type=int,
    help="Number of workers to run the webserver on",
)
ARG_WORKERCLASS = Arg(
    ("-k", "--workerclass"),
    default=conf.get('webserver', 'WORKER_CLASS'),
    choices=['sync', 'eventlet', 'gevent', 'tornado'],
    help="The worker class to use for Gunicorn",
)
ARG_WORKER_TIMEOUT = Arg(
    ("-t", "--worker-timeout"),
    default=conf.get('webserver', 'WEB_SERVER_WORKER_TIMEOUT'),
    type=int,
    help="The timeout for waiting on webserver workers",
)
ARG_HOSTNAME = Arg(
    ("-H", "--hostname"),
    default=conf.get('webserver', 'WEB_SERVER_HOST'),
    help="Set the hostname on which to run the web server",
)
ARG_DEBUG = Arg(
    ("-d", "--debug"), help="Use the server that ships with Flask in debug mode", action="store_true"
)