`TensorBoardLogger` fails with remote FS (azure)

Nobody has claimed this yet.

### Bug description

When using `TensorBoardLogger` with a `save_dir` pointing to azure blob storage, it will yield a `The blob type is invalid for this operation` error on log calls. Similar behaviour was reported in #18861 for `CSVLogger`.

### What version are you seeing the problem on?

v2.2

### How to reproduce the bug

```python
import lightning
from lightning.pytorch import loggers
from lightning.pytorch.demos import boring_classes
from typing import Any

log_dir = "az://@.blob.core.windows.net/test/"

class Model(boring_classes.BoringModel):
def training_step(self, batch: Any, batch_idx: int):
loss = self.step(batch)
self.log('loss', loss, on_step=True, logger=True)
self.logger.log_metrics({"loss": loss})
return {"loss": loss}

if __name__ == '__main__':
model = Model()
logger = loggers.TensorBoardLogger(log_dir, name="test")
trainer = lightning.Trainer(max_epochs=3, logger=logger)
trainer.fit(model)
```

### Error messages and logs

```
RequestId:6e66d9c5-d01e-0033-375a-8670de000000
Time:2024-04-04T06:33:45.2051891Z
ErrorCode:InvalidBlobType
Content: InvalidBlobTypeThe blob type is invalid for this operation.
RequestId:6e66d9c5-d01e-0033-375a-8670de000000
Time:2024-04-04T06:33:45.2051891Z
```

### Environment

Current environment

* CUDA:
- GPU: None
- available: False
- version: None
* Lightning:
- lightning: 2.2.1
- lightning-utilities: 0.10.1
- pytorch-lightning: 2.2.1
- torch: 2.2.1
- torchmetrics: 1.3.2
- torchvision: 0.17.1
* Packages:
- absl-py: 2.1.0
- adlfs: 2024.2.0
- aiohttp: 3.9.3
- aiosignal: 1.3.1
- antlr4-python3-runtime: 4.9.3
- argcomplete: 3.2.3
- async-timeout: 4.0.3
- attrs: 23.2.0
- azure-core: 1.30.1
- azure-datalake-store: 0.0.53
- azure-identity: 1.15.0
- azure-storage-blob: 12.19.1
- babel: 2.14.0
- bandit: 1.7.8
- black: 24.3.0
- certifi: 2024.2.2
- cffi: 1.16.0
- charset-normalizer: 3.3.2
- click: 8.1.7
- colorama: 0.4.6
- coloredlogs: 15.0.1
- colorlog: 6.8.2
- coverage: 7.4.4
- cryptography: 42.0.5
- distlib: 0.3.8
- exceptiongroup: 1.2.0
- filelock: 3.13.1
- flatbuffers: 24.3.7
- frozenlist: 1.4.1
- fsspec: 2024.3.0
- ghp-import: 2.1.0
- griffe: 0.42.0
- grpcio: 1.62.1
- h5py: 3.10.0
- huggingface-hub: 0.21.4
- humanfriendly: 10.0
- idna: 3.6
- importlib-metadata: 7.0.2
- importlib-resources: 6.3.2
- iniconfig: 2.0.0
- isodate: 0.6.1
- isort: 5.13.2
- jinja2: 3.1.3
- jsonargparse: 4.27.6
- kaiko-eva: 0.0.0.dev7+editable
- lightning: 2.2.1
- lightning-utilities: 0.10.1
- loguru: 0.7.2
- markdown: 3.5.2
- markdown-exec: 1.8.0
- markdown-it-py: 3.0.0
- markupsafe: 2.1.5
- mdurl: 0.1.2
- mergedeep: 1.3.4
- mike: 2.0.0
- mkdocs: 1.5.3
- mkdocs-autorefs: 1.0.1
- mkdocs-material: 9.5.14
- mkdocs-material-extensions: 1.3.1
- mkdocs-redirects: 1.2.1
- mkdocs-version-annotations: 1.0.0
- mkdocstrings: 0.24.1
- mkdocstrings-python: 1.9.0
- mpmath: 1.3.0
- msal: 1.28.0
- msal-extensions: 1.1.0
- multidict: 6.0.5
- mypy-extensions: 1.0.0
- networkx: 3.2.1
- nibabel: 5.2.1
- nodeenv: 1.8.0
- nox: 2024.3.2
- numpy: 1.26.4
- omegaconf: 2.3.0
- onnx: 1.15.0
- onnxruntime: 1.17.1
- opencv-python-headless: 4.9.0.80
- packaging: 24.0
- paginate: 0.5.6
- pandas: 2.2.1
- pathspec: 0.12.1
- pbr: 6.0.0
- pillow: 10.2.0
- pip: 24.0
- platformdirs: 4.2.0
- pluggy: 1.4.0
- portalocker: 2.8.2
- protobuf: 5.26.0
- pycparser: 2.21
- pygments: 2.17.2
- pyjwt: 2.8.0
- pymdown-extensions: 10.7.1
- pyparsing: 3.1.2
- pyright: 1.1.355
- pytest: 8.1.1
- pytest-cov: 4.1.0
- python-dateutil: 2.9.0.post0
- pytorch-lightning: 2.2.1
- pytz: 2024.1
- pyyaml: 6.0.1
- pyyaml-env-tag: 0.1
- regex: 2023.12.25
- requests: 2.31.0
- rich: 13.7.1
- ruff: 0.3.3
- safetensors: 0.4.2
- setuptools: 69.2.0
- six: 1.16.0
- stevedore: 5.2.0
- sympy: 1.12
- tensorboard: 2.16.2
- tensorboard-data-server: 0.7.2
- timm: 0.9.16
- tokenizers: 0.15.2
- tomli: 2.0.1
- toolz: 0.12.1
- torch: 2.2.1
- torchmetrics: 1.3.2
- torchvision: 0.17.1
- tqdm: 4.66.2
- transformers: 4.39.0
- typing-extensions: 4.10.0
- tzdata: 2024.1
- urllib3: 2.2.1
- verspec: 0.1.0
- virtualenv: 20.25.1
- watchdog: 4.0.0
- werkzeug: 3.0.1
- wheel: 0.42.0
- yamllint: 1.35.1
- yarl: 1.9.4
- zipp: 3.18.1
* System:
- OS: Darwin
- architecture:
- 64bit
-
- processor: arm
- python: 3.10.13
- release: 23.4.0
- version: Darwin Kernel Version 23.4.0: Fri Mar 15 00:10:42 PDT 2024; root:xnu-10063.101.17~1/RELEASE_ARM64_T6000

### More info

_No response_

cc @lantiga

Start with the TensorBoardLogger entry point and reproduce the failure using the Azure blob save_dir shown in the issue. Trace the log calls that produce InvalidBlobType, then verify that TensorBoard metrics can be written successfully to Azure blob storage without the error.

Written by the indexing model from the issue text.