Daily Work Report (Mar 27, 2026)

Work Summary

Focused on stabilizing Cloud Job Sub-App deployment and resolving a critical build failure caused by runtime mismatch. Aligned the container runtime with project engine requirements, standardized package manager behavior in build contexts, and restored service startup reliability after runtime dependency cleanup.

Hours Worked

8.0

Show Your Work (References)

• Dockerfile:
  • Updated base image to node:24.14.0-slim to satisfy engine requirements.
  • Enabled corepack to ensure consistent pnpm behavior in container builds.
• package.json:
  • Verified engines declaration (node >=24.0.0) matches deployment runtime.
• railway.toml:
  • Corrected build section placement so Railway executes intended backend build flow.
• faces.py:
  • Removed non-essential OpenCV-related import path causing startup instability.
• Runtime verification:
  • Confirmed startup path correctness and healthcheck recovery through deployment retries.

Learnings / Outcomes

• Environment parity is non-negotiable; Docker runtime must satisfy engines constraints exactly.
• corepack is a robust method for controlling pnpm behavior in CI/CD and containerized builds.
• Backend-only deployment scope reduces monorepo conflicts during cloud builds.
• Native dependency assumptions should be validated early for vision-related workloads.

Blockers / Risks

• Blocker (resolved): ERR_PNPM_UNSUPPORTED_ENGINE from Node.js v18 runtime against required v24.
• Blocker (resolved): runtime startup crash tied to unnecessary OpenCV/native import path.
• Ongoing risk: runtime drift in cloud environments can reintroduce engine and native dependency failures.
• Mitigation: keep pinned Docker versions, strict engine checks, and explicit native dependency setup in build steps.

Skills Used

Docker, Node.js runtime alignment, pnpm/corepack, Railway deployment configuration, Python service deployment, OpenCV dependency debugging, cloud healthcheck validation, DevOps troubleshooting

Next Step

Validate live log streaming from the Hugging Face cloud container to confirm end-to-end training job observability.