### Apache Airflow Provider(s)

cncf-kubernetes

### Versions of Apache Airflow Providers

apache-airflow-providers-cncf-kubernetes==2.0.2

### Apache Airflow version

2.1.2

### Operating System

GCP Container-Optimized OS

### Deployment

Composer

### Deployment details

_No response_

### What happened

```
[2021-11-02 14:16:27,086] {pod_launcher.py:193} ERROR - Error parsing timestamp. Will continue execution but won't update timestamp
[2021-11-02 14:16:27,086] {pod_launcher.py:149} INFO - rpc error: code = NotFound desc = an error occurred when try to find container "8f8c2f3dce295f70ba5d60175ff847854e05ab288f7efa3ce6d0bd976d0378ea": not found
[2021-11-02 14:16:28,152] {taskinstance.py:1503} ERROR - Task failed with exception
Traceback (most recent call last):
  File "/opt/python3.8/lib/python3.8/site-packages/airflow/models/taskinstance.py", line 1158, in _run_raw_task
    self._prepare_and_execute_task_with_callbacks(context, task)
  File "/opt/python3.8/lib/python3.8/site-packages/airflow/models/taskinstance.py", line 1333, in _prepare_and_execute_task_with_callbacks
    result = self._execute_task(context, task_copy)
  File "/opt/python3.8/lib/python3.8/site-packages/airflow/models/taskinstance.py", line 1363, in _execute_task
    result = task_copy.execute(context=context)
  File "/opt/python3.8/lib/python3.8/site-packages/airflow/providers/cncf/kubernetes/operators/kubernetes_pod.py", line 367, in execute
    final_state, remote_pod, result = self.create_new_pod_for_operator(labels, launcher)
  File "/opt/python3.8/lib/python3.8/site-packages/airflow/providers/cncf/kubernetes/operators/kubernetes_pod.py", line 521, in create_new_pod_for_operator
    final_state, remote_pod, result = launcher.monitor_pod(pod=self.pod, get_logs=self.get_logs)
  File "/opt/python3.8/lib/python3.8/site-packages/airflow/providers/cncf/kubernetes/utils/pod_launcher.py", line 154, in monitor_pod
    if not self.base_container_is_running(pod):
  File "/opt/python3.8/lib/python3.8/site-packages/airflow/providers/cncf/kubernetes/utils/pod_launcher.py", line 215, in base_container_is_running
    status = next(iter(filter(lambda s: s.name == 'base', event.status.container_statuses)), None)
TypeError: 'NoneType' object is not iterable
```

in the GKE logs I see 
```
airflow-XXX.XXXXX.b14f7e38312c4e83984d1d7a3987655a
"Pod ephemeral local storage usage exceeds the total limit of containers 10Mi. "
```

So the pod failed because I set to low limit for local storage , but the airflow operator should not raise an exception but fail normally.

### What you expected to happen

The KubernetesPodOperator should managed this kind of error

### How to reproduce

launch KubernetesPodOperator with a very small local disk limit and run a container using more than this limit

```python
 KubernetesPodOperator(
        task_id="XXX",
        name="XXXXXXXXX",
        namespace="default",
        resources={'limit_memory': "512M",
                           'limit_cpu': "250m",
                           'limit_ephemeral_storage': "10M"},
        is_delete_operator_pod=True,
        image="any_image_using_more_than_limit_ephemeral_storage")
 ```

### Anything else

_No response_

### Are you willing to submit PR?

- [ ] Yes I am willing to submit a PR!

### Code of Conduct

- [X] I agree to follow this project's [Code of Conduct](https://github.com/apache/airflow/blob/main/CODE_OF_CONDUCT.md)

airflow/providers/cncf/kubernetes/utils/pod_launcher.py
#
#
"""Launches PODs"""
import json
import math
import time
from datetime import datetime as dt
from typing import Iterable, Optional, Tuple, Union
import pendulum
import tenacity
from kubernetes import client, watch
from kubernetes.client.models.v1_event import V1Event
from kubernetes.client.models.v1_event_list import V1EventList
from kubernetes.client.models.v1_pod import V1Pod
from kubernetes.client.rest import ApiException
from kubernetes.stream import stream as kubernetes_stream
from pendulum import Date, DateTime, Duration, Time
from pendulum.parsing.exceptions import ParserError
from requests.exceptions import BaseHTTPError
from airflow.exceptions import AirflowException
from airflow.kubernetes.kube_client import get_kube_client
from airflow.kubernetes.pod_generator import PodDefaults
from airflow.settings import pod_mutation_hook
from airflow.utils.log.logging_mixin import LoggingMixin
from airflow.utils.state import State
def should_retry_start_pod(exception: Exception) -> bool: