Comments (2)
Tensorboard doesn't have password authentication either, right? I think it is enough to just use ssh tunnels for security. Maybe the README should suggest, as the standard way of running crayon, to only bind to localhost and to use ssh tunnels. So, the docker run line would looks something like this:
$ docker run -d -p 127.0.0.1:8888:8888 -p 127.0.0.1:8889:8889 --name crayon alband/crayon
It could also point out that by removing the "127.0.0.1"s you can bind to all addresses, but that you might not want to do this if you are on a publicly accessible server.
(Note: I have edited this comment. In a previous version I suggested that Tensorboard binds to localhost by default. But actually it binds all addresses by default. It seems better to me to default to security, but I guess different people might have different opinions about this.)
from crayon.
Just throw an nginx between it will handle both SSL and auth.
from crayon.
Related Issues (20)
- Empty experiments are not listed properly HOT 6
- Implement some form of web interface
- json.decoder.JSONDecodeError HOT 2
- Missing graph visualisation HOT 4
- Missing image visualisation
- Install fails unless requests is already installed HOT 2
- Can I draw multiple curves in a single figure ? HOT 5
- Exp name containing plus '+' sign does not work HOT 2
- UsageExample: TypeError: request() got an unexpected keyword argument 'json' HOT 1
- xp_writers isn't re-initialized after restart
- default port conflicts with jupyter notebook HOT 1
- comparison with serverless approach (docs) HOT 3
- When do you release the new version?
- TLS-Enabled HOT 1
- attempt to index field 'scalar_steps' (a nil value) when using add_scalar_dict
- How can I use crayon on my own PC? (not a server or client machine) HOT 4
- Adding Embedding methods to crayon.py
- Timeout threshold might be too low ? HOT 5
- EINTR not handled
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from crayon.