## 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
name='test',
        help="Execute one single DagRun",
        description=(
            "Execute one single DagRun for a given DAG and execution date, "
            "using the DebugExecutor.\n"
            "\n"
            "The --imgcat-dagrun option only works in iTerm.\n"
            "\n"
            "For more information, see: https://www.iterm2.com/documentation-images.html\n"
            "\n"
            "If --save-dagrun is used, then, after completing the backfill, saves the diagram "
            "for current DAG Run to the indicated file.\n"
            "The file format is determined by the file extension. "
            "For more information about supported format, "
            "see: https://www.graphviz.org/doc/info/output.html\n"
            "\n"
            "If you want to create a PNG file then you should execute the following command:\n"
            "airflow dags test <DAG_ID> <EXECUTION_DATE> --save-dagrun output.png\n"
            "\n"
            "If you want to create a DOT file then you should execute the following command:\n"
            "airflow dags test <DAG_ID> <EXECUTION_DATE> --save-dagrun output.dot\n"
        ),
        func=lazy_load_command('airflow.cli.commands.dag_command.dag_test'),
        args=(
            ARG_DAG_ID,
            ARG_EXECUTION_DATE,
            ARG_SUBDIR,
            ARG_SHOW_DAGRUN,
            ARG_IMGCAT_DAGRUN,
            ARG_SAVE_DAGRUN,