Production reality check
Your AI app did not deploy. Good: it failed before users found it.
A deployment failure is evidence. Preserve its exact stage and message before another generated change replaces the useful clue.
01
What happened?
The code that worked in preview may meet a different runtime, clean filesystem, production build command, port, domain, secret set or database state during deployment.
02
Why this happens
- Dependencies or lockfiles differ from the environment that worked.
- The service listens on the wrong host or port, or a health check targets the wrong path.
- Production secrets are missing, malformed or only configured for preview.
- A migration requires an order or permission the release process does not provide.
03
What you can check yourself
- Identify whether failure occurred during install, build, start, health check or first request.
- Record runtime versions, exact commands, exit code and the first meaningful error.
- Build the same commit in a clean environment with production settings.
- Verify ports, domains, secrets, storage, network access and migration order.
04
How to test the fix safely
Correct one layer at a time, redeploy the same version to staging and exercise health plus a critical user path. Do not run destructive migrations without a tested recovery path.
05
When you need a developer
A developer is needed when logs point across infrastructure and application code, or when a failed migration may have changed data. Shipvise provides staged, checked and explicitly approved deployments with rollback and hosting options.
FAQ
Questions people ask after the demo stops working
Why does a build pass locally but fail during deployment?
Local caches, undeclared dependencies, runtime versions, filesystem case, environment variables and build commands often differ from a clean production build.
Should I clear every cache?
Only if evidence points there. Clearing everything can hide reproducibility. First capture the failing version and logs.
Can I retry the same deployment?
A retry is reasonable for a confirmed transient service failure. It will not fix deterministic build, configuration or migration errors.