Jupyterhub is very slow to access ipynb Server.It took me 9 seconds to into ipynb Server.
A quick thought: It could be that your internet connection is slow, this often makes it take a while to load the notebook interfaces. Perhaps you can run the hub in a data center that is closer to where you’re accessing it?
It is Local Area Network.Are there any other reasons？I guess configurable-http-proxy’s the reason. I’m not sure so Please help me analyze it.
I couldn’t upload the video, so I uploaded a picture instead.Waiting too long is not good for the user experience, so I want to improve. I couldn’t find anything on Zero to JupyterHub on Kubernetes.Please help me. God bless you.
A few things you could investigate:
- If you run jupyter notebook locally do you see the same slowness?
- Do you have a HTTP proxy, either explicitly set, or transparently implemented by your network provider?
- Is there a local or network firewall?
- Do you have any anti-virus or malware scanners on your system that might be slow or badly configured?
- If you deploy another remote web application instead of JupyterHub is it also slow?
- Does your JupyterHub have sufficient resources?
- Is there anything else running on your local system consuming CPU/RAM/network resources?
I’m this topic author.The server is on the local network. The server performance is completely fine. Zero to JupyterHub on Kubernetes has a proxy called configurable-http-proxy’. configurable-http-proxy fully installs values.yaml.
