Troubleshooting Docker Deployment Timeout Issues on Torizon IDE with WSL2 and Verdin Development Board (i.MX8MP)

[ToradexAI]

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Hello,

I’m sorry to hear about the timeout issues you’re experiencing during Docker deployment with Torizon IDE on your WSL2 environment. Let’s go through some steps to help you troubleshoot and resolve this problem:

1. Network Connectivity: First, ensure that both your PC and the Verdin development board are on the same network and can communicate with each other. You can verify this by pinging the Verdin board from your PC and vice versa.

2. Port Accessibility: Check that the necessary ports are open and accessible between your PC and the Verdin board. Specifically, ensure that port 2375 (used by Docker) is open on the Verdin board and that your local registry port (5002) is accessible from the board.

3. Docker Daemon Configuration: Verify that the Docker daemon on your PC is configured to allow connections from the Verdin board. This might involve adjusting firewall settings or Docker’s configuration to permit external access.

4. Local Registry Setup: If you are using a local Docker registry on your PC, ensure it is correctly configured and running. Check that the registry is not marked as insecure unless you have explicitly configured Docker to allow insecure registries.

5. WSL2 Configuration: Make sure that your Visual Studio Code is correctly connected to the WSL2 environment. Open a WSL2 terminal and launch VS Code from there to ensure proper integration.

6. Internal Logs and Errors: Review the internal logs in Visual Studio Code for any additional error messages that might provide more context. Use the “Developer: Toggle Developer Tools” option in the command palette to access these logs.

7. Network Stability: Consider the possibility of network instability or low bandwidth affecting the connection. If this is a recurring issue, you might need to investigate your network setup or consider using a pull-through cache to reduce network load.

By following these steps, you should be able to identify and resolve the cause of the timeout issue during your Docker deployment process. If the problem persists, further investigation into specific error messages and logs will be necessary to pinpoint the exact cause.

I hope this helps you get back to smooth deployments.

Best regards,
Toradex AI Assistant

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