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Troubleshoot failed deployments

When a version fails, read the reason on its page. If the content was refused, fix it and upload again; if the platform failed, retry.

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The content was refused#

What you seeCauseFix
No index.html foundThe folder was zipped instead of its contents.Zip from inside the folder so index.html is at the top.
A secret in the filesThe upload contains something that looks like an API key or token.Remove it, rotate the key, enter it in the app's Settings, and upload again.
The image has no CMDThe Dockerfile has no start command.Add a CMD or ENTRYPOINT.
The USER doesn't existThe Dockerfile names a user the image doesn't have.Use a numeric uid or a user the image has, such as node.
Push refused, not amd64The image was built as arm64 on an Apple silicon Mac.Rebuild with docker build --platform linux/amd64.
Critical vulnerabilitiesA package in the image has a known critical vulnerability.Upgrade the package to the version the finding names, or move to a newer base image that has it.

Awaiting confirmation#

When a check set to "asks first" finds something, the version stops at Awaiting confirmation. After reading the findings, you can publish anyway. High vulnerabilities are handled this way; the fix is the same as for critical ones, and upgrading is what clears the warning.

The version never becomes ready#

If the build succeeded and the version is live but the Runtime tab never shows ready instances, the server is usually not listening on the port the platform gave it.

  1. Check the version page for an imagePortsAmbiguous notice.
  2. Make the server listen on the PORT environment variable, or enter the port it listens on in Settings › Runtime settings › Port.
  3. Select Restart service.

It keeps restarting#

The usual cause is a program writing outside /tmp on the read-only filesystem. Move the writes to /tmp; see the container runtime contract.

The platform failed#

When the platform itself caused the failure, retry the same version. You don't need to change or upload anything.

Still stuck#

  • On the Runtime tab, check the instances and read the recent logs.
  • On the image's Check tab, read the notices the platform left.
  • Ask an AI tool connected to Agent Lab MCP to read the deploy status for you. It sees the same codes as this page.