SageMaker Studio - Jupyter proxy function does not work

Question

I am trying to run TensorBoard 2.9.0 in SageMaker Studio, as described [here](https://docs.aws.amazon.com/sagemaker/latest/dg/studio-tensorboard.html#studio-tensorboard-launch).

However, after launching TensorBoard, when I navigate to the proxy URL `https://.studio..sagemaker.aws/jupyter/default/proxy/6006/`, I get error 500.

I am using the "PyTorch 1.10 Python 3.8 CPU Optimized" image. Any suggestions?

I have also tried with the new JupyterLab 3 server version, but same result.

Answer

I managed to reproduce the error 500 by not starting Tensorboard.
So, please, make sure you executed in Studio's terminal the command to launch Tensorboard first:
tensorboard --logdir path/to/your/logs

You need to see something like:

```
TensorFlow installation not found - running with reduced feature set.

NOTE: Using experimental fast data loading logic. To disable, pass
    "--load_fast=false" and report issues on GitHub. More details:
    https://github.com/tensorflow/tensorboard/issues/4784

Serving TensorBoard on localhost; to expose to the network, use a proxy or pass --bind_all
TensorBoard 2.9.1 at http://localhost:6006/ (Press CTRL+C to quit)

```
Then, after that you can open a new tab and try to open it.

SageMaker Studio - Jupyter proxy function does not work

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