## Problem
The helm chart does not implement a way for SequentialExecutor Airflow 2 deployments to serve logs; without using elasticsearch.

## Details
Prior implementations utilize the CLI function `serve_logs`. This function has been deprecated as of v2.

In `airflow/templates/scheduler/scheduler-deployment.yaml`:
```yaml
    181 {{- if and $local (not $elasticsearch) }}
    182         # Start the sidecar log server if we're in local mode and
    183         # we don't have elasticsearch enabled.
    184         - name: scheduler-logs
    185           image: {{ template "airflow_image" . }}
    186           imagePullPolicy: {{ .Values.images.airflow.pullPolicy }}
    187           args: ["serve_logs"]
```

This will cause the helm deployment to break; and the scheduler will perpetually fail to start the `scheduler-logs` container inside of the scheduler deployment.

Snippet from airflow [upgrade guide](https://airflow.apache.org/docs/apache-airflow/stable/upgrading-to-2.html).

```
Remove serve_logs command from CLI

The serve_logs command has been deleted. This command should be run only by internal application mechanisms and there is no need for it to be accessible from the CLI interface.
```

## Partial Solution
Not sure how the non-elastic method for serving logs going forward.

Astronomer branches yaml by:
```yaml
{{- if semverCompare ">=1.10.12" .Values.airflowVersion }}
...
{{- else }}
...
{{- end }}
```
airflow/cli/cli_parser.py
type=positive_int(allow_zero=True),
    help="The number of recent jobs that will be checked. To disable limit, set 0. ",
)
ARG_ALLOW_MULTIPLE = Arg(
    ("--allow-multiple",),
    action='store_true',
    help="If passed, this command will be successful even if multiple matching alive jobs are found.",
)
# sync-perm
ARG_INCLUDE_DAGS = Arg(
    ("--include-dags",), help="If passed, DAG specific permissions will also be synced.", action="store_true"
)
ALTERNATIVE_CONN_SPECS_ARGS = [
    ARG_CONN_TYPE,
    ARG_CONN_DESCRIPTION,
    ARG_CONN_HOST,
    ARG_CONN_LOGIN,
    ARG_CONN_PASSWORD,
    ARG_CONN_SCHEMA,
    ARG_CONN_PORT,
]
class ActionCommand(NamedTuple):
    """Single CLI command"""
    name: str
    help: str
    func: Callable
    args: Iterable[Arg]
    description: Optional[str] = None
    epilog: Optional[str] = None
class GroupCommand(NamedTuple):