## 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
func = import_string(import_path)
        return func(*args, **kwargs)
    command.__name__ = name
    return command
class DefaultHelpParser(argparse.ArgumentParser):
    """CustomParser to display help message"""
    def _check_value(self, action, value):
        """Override _check_value and check conditionally added command"""
        executor = conf.get('core', 'EXECUTOR')
        if value == 'celery' and executor not in (CELERY_EXECUTOR, CELERY_KUBERNETES_EXECUTOR):
            message = f'celery subcommand works only with CeleryExecutor, your current executor: {executor}'
            raise ArgumentError(action, message)
        if value == 'kubernetes':
            try:
                import kubernetes.client  
            except ImportError:
                message = (
                    'The kubernetes subcommand requires that you pip install the kubernetes python client.'
                    "To do it, run: pip install 'apache-airflow[cncf.kubernetes]'"
                )
                raise ArgumentError(action, message)
        if action.choices is not None and value not in action.choices:
            check_legacy_command(action, value)
        super()._check_value(action, value)
    def error(self, message):
        """Override error and use print_instead of print_usage"""
        self.print_help()
        self.exit(2, f'\n{self.prog} command error: {message}, see help above.\n')
_UNSET = object()
class Arg: