## 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
#
#
#
"""Command-line interface"""
import argparse
import json
import os
import textwrap
from argparse import Action, ArgumentError, RawTextHelpFormatter
from functools import lru_cache
from typing import Callable, Dict, Iterable, List, NamedTuple, Optional, Union
from airflow import settings
from airflow.cli.commands.legacy_commands import check_legacy_command
from airflow.configuration import conf
from airflow.exceptions import AirflowException
from airflow.executors.executor_constants import CELERY_EXECUTOR, CELERY_KUBERNETES_EXECUTOR
from airflow.utils.cli import ColorMode
from airflow.utils.helpers import partition
from airflow.utils.module_loading import import_string
from airflow.utils.timezone import parse as parsedate
BUILD_DOCS = "BUILDING_AIRFLOW_DOCS" in os.environ
def lazy_load_command(import_path: str) -> Callable:
    """Create a lazy loader for command"""
    _, _, name = import_path.rpartition('.')
    def command(*args, **kwargs):