Deployment failed

I don’t know the answer to your specific problem, but I had the same problem with limited debug output.

My specific issue was an architecture build issue, as I’ve got an M2 mac. My solution was to build from a linux operating system on a digital ocean droplet and push to the application’s image registry with the x86_64 image.

In my opinion, which is what I’m now doing, booting up a digital ocean droplet and hosting my application on there with a docker container run command is a more troubleshootable approach. No doubt what Digital Ocean does with the applications is useful and secure, but it comes at a cost of not being able to troubleshoot issues, and let’s be honest: Issues happen a lot.

You no longer have the feature of Zero Downtime Deployments, and Automatic rollbacks on failed deployments, but you do get much better analysis over your application and can actually access the application while it’s running for some production logs.

Our team does this for every application we run for Digital Ocean so we don’t have to guess anything!

Hi there,

I just forked your project and tried deploying it and it seems to work out of the box as long as you’ve defined your OpenAI API key as an OPENAI_API_KEY env variable.

A few things that you could also look into in case you’ve made any changes to the default deployment configuration are:

• Make sure that your HTTP Port is set to 8080 as this is what’s defined in your app.py file
• Make sure that your Health Check is set to TCP
• Make sure that your Run Command is set to python app.py as this is what your app file name is

With those settings in place, which are the default ones, your app runs as expected.

Hope that this helps!

Best,

Bobby