**Apache Airflow version**:  1.10.10


**Kubernetes version (if you are using kubernetes)** (use `kubectl version`): v1.15.11

KubernetesPodOperator truncates logs when container produces more than 10 lines of logs before execution of `read_pod_logs` function. Is there any reason to make 10 as default value for `tail_lines` argument ?
```python
    def read_pod_logs(self, pod: V1Pod, tail_lines: int = 10):
        """Reads log from the POD"""
        try:
            return self._client.read_namespaced_pod_log(
                name=pod.metadata.name,
                namespace=pod.metadata.namespace,
                container='base',
                follow=True,
                tail_lines=tail_lines,
                _preload_content=False
            )
        except BaseHTTPError as e:
            raise AirflowException(
                'There was an error reading the kubernetes API: {}'.format(e)
            )
```
airflow/kubernetes/pod_launcher.py
"""Deletes POD"""
        try:
            self._client.delete_namespaced_pod(
                pod.metadata.name, pod.metadata.namespace, body=client.V1DeleteOptions())
        except ApiException as e:
            
            if e.status != 404:
                raise
    def start_pod(
            self,
            pod: V1Pod,
            startup_timeout: int = 120):
        """
        Launches the pod synchronously and waits for completion.
        :param pod:
        :param startup_timeout: Timeout for startup of the pod (if pod is pending for too long, fails task)
        :return:
        """
        resp = self.run_pod_async(pod)
        curr_time = dt.now()
        if resp.status.start_time is None:
            while self.pod_not_started(pod):
                self.log.warning("Pod not yet started: %s", pod.metadata.name)
                delta = dt.now() - curr_time
                if delta.total_seconds() >= startup_timeout:
                    raise AirflowException("Pod took too long to start")
                time.sleep(1)
    def monitor_pod(self, pod: V1Pod, get_logs: bool) -> Tuple[State, Optional[str]]: