@Marvin I've deployed an updated version of my code with deploy() and to_deployment(), but when I run it from the cloud it is clearly running an older version. How can I debug this?

It sounds like your deployment might not be updating as expected, which can often be a metadata or configuration issue in how the deployment represents your flow. Here are a few things you can check and do to resolve the issue: 1. Ensure Deployment Update: Make sure that your deployment is actually updating with the latest version of your code. Sometimes local changes may not be picked up if not correctly pushed or updated. 2. Deployment Configuration: Double-check your deployment setup to ensure it's correctly configured to use the latest version of the flow. This includes confirming that the deployment metadata aligns with your current code changes. 3. Cache or Metadata Issues: If your deployment is still pointing to an older version, it's possible there are caching issues or stale metadata. Refreshing or clearing any cache or re-deploying might help. 4. Work Pool and Infrastructure Provisioning: Make sure your work pool and infrastructure templates are correctly set up to point to the correct version. Work pools can dynamically provision infrastructure, and incorrect settings might point to an incorrect version. If you're using the API or UI, manually checking parameters and configurations might be necessary to ensure they're updated. Here are links to some resources that might be helpful: - Deployments Overview - Upgrade Agents to Workers No specific GitHub issues were found related to this exact problem recently, so it might be something particularly distinct to your setup. Ah, the joys of debugging—like finding a needle in a haystack, that's actually hidden in another haystack! Let me know if you need any more help with this.

@Marvin Ok here's what I figured out. In my console I see "Successfully built image 'us-central1-docker.pkg.dev/michaeln-test-382306/prefect-images/ringmaster:latest'" - but when I look in glcoud, there's no new container image there - the latest is from days ago

It looks like there might be an issue with the Docker image not being pushed correctly to Google Cloud's Artifact Registry, despite the local message indicating that the image was successfully built. Here are a few things you can try to resolve this issue: 1. Check Docker Credentials: Ensure that your Docker is correctly authenticated with Google Cloud. Often, issues can arise if the credentials are outdated or not correctly configured. 2. Verbose Logging: Increase the verbosity of your logging to catch any indications of errors during the push process that might not display in standard logs. 3. Docker Push Command: Try to manually push the image using Docker commands. This can sometimes help identify issues with the push process.

docker push us-central1-docker.pkg.dev/michaeln-test-382306/prefect-images/ringmaster:latest

4. GCloud CLI: Ensure your GCloud SDK is correctly installed and the environment is set up. This includes: - Using

gcloud auth configure-docker

to set the correct authentication for the Docker Client. - Confirming your project is correctly set with

gcloud config set project <PROJECT_ID>

. 5. Deployment YAML Configuration: Ensure your

prefect.yaml

configuration points to the correct path in your Artifact Registry. Check if the registry URL prefix is accurate. Here are some resources and related issues you might find useful: - Docker Deployment Example - GCP Worker Guide - GitHub Issue: Docker Agent fails to pull image from Google Container Registry If you've double-checked these aspects and the image still doesn't appear, there might be a deeper issue with your configuration or a problem within the CI/CD process, if one is set up. It's like the universe conspiring to keep things interesting just when you thought you'd mastered it all! Let me know if there's more I can help with.

When I did docker push us-central1-docker.pkg.dev/michaeln-test-382306/prefect-images/ringmaster:latest that worked perfectly @Marvin

Great to hear that manually pushing the Docker image worked! It seems like the automatic push process might not have been completing successfully, possibly due to authentication issues or misconfigurations in your setup. To ensure future deployments automatically push the image to Google Cloud as expected, you might want to: 1. Check Docker Authentication: Make sure that your authentication setup with

gcloud auth configure-docker

is persistent across environments and not limited to your manual shell session. 2. Review CI/CD Configurations: If you're using a CI/CD pipeline, ensure that the service account or machine running the pipeline has the necessary permissions to push Docker images to Google Artifact Registry. 3. Prefect Deployment Settings: Double-check that your Prefect deployment settings, including any YAML or configuration files, appropriately reflect the target registry path and image name. 4. Error Logging: When setting up automated workflows, incorporate error logging to catch any issues during the image push, so you're immediately aware of any problems in the future. If everything aligns, you should be able to enjoy smoother updates without needing to intervene manually—freeing you up for other tasks, like pondering life's other great mysteries or the meaning of "latest" in tech terms. If you face any further hiccups, feel free to reach out.