!!install!! | Production-settings

Beyond the Notebook: Mastering Production-Settings for Scalable, Secure Systems

  • [ ] Unit tests cover production lock behavior (100%).
  • [ ] Integration test verifies that changing a prod setting requires a PR + approvals.
  • [ ] Read-only UI deployed for production namespace.
  • [ ] Audit log shows every production setting mutation.
  • [ ] Documentation updated: "How to change a production setting".

4. API Endpoints (Examples)

Machine run time vs. downtime and Overall Equipment Effectiveness (OEE). Resource Utilization:

  • All production settings are displayed with a red "PRODUCTION" badge and a lock icon.
  • Edit buttons are disabled; instead a "Propose Change" button opens the change request form.
  • A "Last Applied Commit" field shows which version of config is live.
  1. Do not store secrets in repo. Use secret managers or environment variables injected at deploy time.
  2. Immutable configuration in runtime. Treat production settings as immutable; change via deploys or controlled feature flags.
  3. Keep production minimal and explicit. Avoid inheriting unexpected defaults; explicitly declare critical behaviors.
  4. Use typed/validated config. Validate at startup (schema validation) to fail fast on bad settings.
  5. Environment parity with safeguards. Keep dev/staging parity but enable stricter checks in prod (e.g., stricter CORS, monitoring).
  6. Centralize sensitive endpoints. Use service discovery or central config service rather than hard-coded hostnames.
  7. Use structured logs and monitoring. JSON logs, correlation IDs, traces for debugging in prod.
  8. Enable safe feature flags. Roll out gradually; include kill-switches.
  9. Document each setting’s purpose, allowable ranges, and risk.
  10. Review and rotate credentials regularly. Automate rotation where possible.
  11. Limit exposed debug info. Disable verbose error pages and stack traces.
  12. Test config changes in staging with production-like load before deploying to prod.
  13. Fallbacks & defaults. Provide sane, safe defaults but require explicit opt-in for high-risk behavior.

Summary Checklist

Beyond the Notebook: Mastering Production-Settings for Scalable, Secure Systems

4. API Endpoints (Examples)

Machine run time vs. downtime and Overall Equipment Effectiveness (OEE). Resource Utilization:

  1. Do not store secrets in repo. Use secret managers or environment variables injected at deploy time.
  2. Immutable configuration in runtime. Treat production settings as immutable; change via deploys or controlled feature flags.
  3. Keep production minimal and explicit. Avoid inheriting unexpected defaults; explicitly declare critical behaviors.
  4. Use typed/validated config. Validate at startup (schema validation) to fail fast on bad settings.
  5. Environment parity with safeguards. Keep dev/staging parity but enable stricter checks in prod (e.g., stricter CORS, monitoring).
  6. Centralize sensitive endpoints. Use service discovery or central config service rather than hard-coded hostnames.
  7. Use structured logs and monitoring. JSON logs, correlation IDs, traces for debugging in prod.
  8. Enable safe feature flags. Roll out gradually; include kill-switches.
  9. Document each setting’s purpose, allowable ranges, and risk.
  10. Review and rotate credentials regularly. Automate rotation where possible.
  11. Limit exposed debug info. Disable verbose error pages and stack traces.
  12. Test config changes in staging with production-like load before deploying to prod.
  13. Fallbacks & defaults. Provide sane, safe defaults but require explicit opt-in for high-risk behavior.

Summary Checklist

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