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- deploy-kind.yaml: Remove push/PR triggers, keep only manual workflow_dispatch. The job requires a self-hosted runner with Docker which is not currently registered, causing jobs to queue forever. - publish-pages.yaml: Bump configure-pages v3->v5, upload-pages-artifact v2->v3, deploy-pages v2->v4. The old v2 actions depend on deprecated upload-artifact v3 which GitHub now blocks. Co-authored-by: Cursor <cursoragent@cursor.com>
Jupyter kernels use long-lived WebSocket connections that were being dropped by nginx after the default 60s timeout. Add proxy-read-timeout and proxy-send-timeout (1 hour) and disable proxy-buffering to keep kernel connections alive and stream frames in real time. Co-authored-by: Cursor <cursoragent@cursor.com>
The Prefect 3.x SDK eagerly initializes its client when PREFECT_API_URL is set. If the Prefect server is unreachable or slow to start, the connection attempt blocks indefinitely, hanging the Jupyter kernel. Set PREFECT_API_REQUEST_TIMEOUT=5 so the client fails fast (5 seconds) instead of blocking forever, allowing the kernel to remain responsive even when the Prefect server is temporarily unavailable. Co-authored-by: Cursor <cursoragent@cursor.com>
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Summary
Ingress fixes
proxy-read-timeout: 3600,proxy-send-timeout: 3600, andproxy-buffering: offnginx annotations to the JupyterHub ingress to keep WebSocket kernel connections alive.PREFECT_API_REQUEST_TIMEOUT: 5env var to prevent Prefect SDK from blocking kernel startup when the Prefect server is unavailable.Singleuser image fixes (multi-arch + JupyterHub 5.x)
uname -m) and GitHub CLI (dpkg --print-architecture) instead of hardcoding x86_64/amd64 — enables Apple Silicon (arm64) builds.setuptools/wheelinstall for Python 3.12 compatibility (removed from stdlib).pixz -9withxz -3 -T0for Docker Desktop memory compatibility.pixzdecompression with standardtar xf.jupyterlab==4.5.3.Terraform fixes
JUPYTERHUB_SINGLEUSER_APPenv var override that conflicts with z2jh 4.x internal server configuration and breaks kernel communication.icl-jupyterhub:local.Test plan
docker build . --file docker/icl-jupyterhub/Dockerfile --tag icl-jupyterhub:localkind --name x1 load docker-image icl-jupyterhub:local