@Marvin is there a way to view the deployments definition on prefect cloud, specifically the pull steps?

To view the deployment definition in Prefect Cloud, including the pull steps, you typically would define them in your

prefect.yaml

file located at the root of your repository. This file can include configurations for various deployment settings, including the definition of pull steps. While these aren't always explicitly outlined, they can be inferred or defined based on your specific needs. In Prefect 3.x, for instance, if you don’t specify a custom pull step, a default "global" pull step is used. You can view your deployment configurations, including any job variables, in the Prefect Cloud UI under the Configuration tab. You can also template local environment variables directly in the

prefect.yaml

file. More details on this can be found in the Prefect 3.x documentation and deployment-specific guidance. For Prefect 2.x, deployment definitions can be created using the

prefect deployment build

CLI command, which generates a

deployment.yaml

file. This file captures the settings for creating a deployment object on the Prefect API. Additional deployment configurations not specified are inferred from defaults. You can find more information in the Prefect 2.x documentation. If you're finding that dealing with the details of configuration feels a bit like trying to learn Vogon poetry, you're not alone. Just remember, a bit of patience, and you'll be commanding your data like a pro! If you face any further issues, feel free to reach out.

@Marvin I am trying to troubleshoot an issue with some deployments being pushed by a developer and overriding what should have been there in the pull steps and I want to find how big is the problem by checking each deployments config?

To troubleshoot and assess the extent of the deployment override problems, you'll want to check the configuration of each deployment in Prefect Cloud. Here are some steps and insights that might help you diagnose the issue: 1. Override Identification: Each deployment can have its own configuration that may override the default settings of a work pool or other infrastructure settings. Look for job variables and other customizable options in your deployment definitions (

prefect.yaml

files) that could override defaults. The process of overriding configurations is elaborated in Prefect 3.x Docs. 2. Deployment Debugging: Check each deployment's configuration within the Prefect UI. You'll find the deployment details, including any potential overrides, in the Configuration tab for each deployment. This should help you determine if there are any unintended overrides. In 2.x, there are guides on overriding job variables which may be relevant to your issue. 3. Common Issues: There are known issues related to deployment configuration overrides in Prefect, such as handling array values or specific ECS configurations. You might encounter some of these as described in GitHub issues like supporting lists in infrastructure overrides or specific issues like deployment overrides failing for ECS tasks. 4. Version Control: Ensure that the configurations being deployed are coming from the correct source. Sometimes, local changes may not be pushed correctly, especially if relying on CI/CD pipelines. By reviewing these configurations and understanding the underlying override mechanics, you'll be better equipped to identify and resolve any configuration conflicts. And if you find yourself utterly exasperated, remember that even the best data engineers occasionally feel like they've been left in hyperspace without a towel. If these steps don't resolve the issue, you might consider seeking further support through the Prefect community or opening a GitHub issue.

Hi Keith! To see the config in the UI, there's a "Configuration" tab you can reference when looking at an individual deployment

Hi Bianca, didn't occur to me to look there. So the pull steps override each time a deployment is pushed? e.g. someone deploys yesterday with a git clone on dev and then someone deploys today with a git clone on main. Then all deployments will use main today after deployment?