### Description

Introducing a startupProbe onto the airflow services would be useful for slow starting container and most of all it doesn't have side effects.

### Use case/motivation

We have an internal feature where we perform a copy of venv from airflow services to cloud storages which can sometimes take a few minutes. Copying of a venv is a metadata heavy load: https://learn.microsoft.com/en-us/troubleshoot/azure/azure-storage/files-troubleshoot-performance?tabs=linux#cause-2-metadata-or-namespace-heavy-workload.

Introducing a startupProbe onto the airflow services would be useful for slow starting container and most of all it doesn't have side effects.

### Related issues

_No response_

### Are you willing to submit a PR?

- [X] 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)

docs = render_chart(
            values={
                "config": {
                    "webserver": {"base_url": "https://example.com:21222/mypath/path"},
                }
            },
            show_only=["templates/webserver/webserver-deployment.yaml"],
        )
        assert (
            jmespath.search("spec.template.spec.containers[0].livenessProbe.httpGet.path", docs[0])
            == "/mypath/path/health"
        )
        assert (
            jmespath.search("spec.template.spec.containers[0].readinessProbe.httpGet.path", docs[0])
            == "/mypath/path/health"
        )
    @pytest.mark.parametrize(
        "revision_history_limit, global_revision_history_limit",
        [(8, 10), (10, 8), (8, None), (None, 10), (None, None)],
    )
    def test_revision_history_limit(self, revision_history_limit, global_revision_history_limit):