@Marvin I'm trying to deploy a Google Cloud Run Worker with a custom dockerfile

FROM prefecthq/prefect:3-python3.10
RUN apt-get update && apt-get install -y curl

RUN curl -sSL <https://sdk.cloud.google.com> | bash
ENV PATH $PATH:/root/google-cloud-sdk/bin

COPY requirements.txt /opt/prefect/rori-math-etl/requirements.txt
RUN python -m pip install -r /opt/prefect/rori-math-etl/requirements.txt

COPY . /opt/prefect/rori-math-etl/
WORKDIR /opt/prefect/rori-math-etl/

ARG GOOGLE_CLOUD_SQL_INSTANCE
RUN curl -o cloud-sql-proxy <https://storage.googleapis.com/cloud-sql-connectors/cloud-sql-proxy/v2.9.0/cloud-sql-proxy.linux.amd64>
RUN chmod +x cloud-sql-proxy
RUN ./cloud-sql-proxy --address 0.0.0.0 --port 4000 --auto-iam-authn ${{ GOOGLE_CLOUD_SQL_INSTANCE }} &

LABEL io.prefect.version=3.0.0

I'm getting this error

The container exited with an error. (Error Code: 1)
This may be caused by attempting to run an image with a misspecified platform or architecture.

It looks like your issue may pertain to the platform or architecture settings in your Docker configuration. Here are a few steps and considerations based on similar use cases from the Prefect documentation and guides: 1. Check Docker Platform Compatibility: Ensure that your Dockerfile is compatible with the platform and architecture that Google Cloud Run expects. You can specify the platform in your Dockerfile or during the build process. Here’s an example:

FROM --platform=linux/amd64 prefecthq/prefect:3-python3.10

2. Build and Push Correctly: Follow the instructions to build and push your Docker image with the correct platform settings: - Use Google Cloud's tools for building and pushing Docker images to Google Artifact Registry. - Example:

gcloud builds submit --tag <http://gcr.io/[PROJECT-ID]/[IMAGE-NAME]:[TAG]|gcr.io/[PROJECT-ID]/[IMAGE-NAME]:[TAG]> --platform linux/amd64

3. Google Cloud SQL Proxy: Ensure your Cloud SQL Proxy is compatible with the architecture you are targeting. The download link and the way the proxy is started might need adjustment. Also, consider checking out the detailed guide for deploying Prefect Workers on Google Cloud Run: - Google Cloud Run Worker Guide If you need further customization, build the Docker image locally and ensure all components, including any installed packages and binaries, are compatible with the target architecture. If the problem persists, you might want to run diagnostic commands within the Docker container locally to ensure all dependencies and configurations are set correctly. Feel free to reach out if you need more specific details or further assistance!