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04/06/2024, 8:43 PMMarvin
04/06/2024, 8:44 PMprefect deploy
from the root directory containing your flow code and configure the deployment settings through interactive cli or a prefect.yaml
file. You can find more information about storage options here.
2. Remote Flow Code Storage: When deploying flows in a production environment, you can use remote storage options such as GitHub or Azure Blob Storage. The prefect.yaml
file can be configured to push flow code to Azure Blob Storage and then retrieve it when needed by remote executions. For example:
yaml
push:
- prefect_azure.deployments.steps.push_to_azure_blob_storage:
# ...
pull:
- prefect_azure.deployments.steps.pull_from_azure_blob_storage:
# ...
You can refer to the Prefect Azure integration documentation, which provides detailed information and examples on how to use Azure services with Prefect, such as Azure Blob Storage for storing your flow code. Here is the link to Prefect Azure documentation.
3. Prefect Configuration: You can override default configurations using environment variables. Prefect profiles allow you to easily switch between different groups of settings, which can be particularly useful when moving between development and production environments. This practice helps in maintaining separate configurations for different environments without constant changes to the files or the need to manually override settings each time. More about settings and configuration profiles can be found here.
Regarding the specifics of Prefect configuration, it's important to use the latest practices and available options in the most recent releases. The latest Prefect version at the time of this message is 2.16.9, and you can find the details of this release, including new features, enhancements, and fixes, here.
Please remember to adjust your configuration files and practices accordingly, keeping in mind changes such as the introduction of new CLI options or any deprecations that may affect how you configure flow storage.Marvin
04/06/2024, 8:49 PMprefect.yaml
file and environment management:
1. Profiles: Prefect supports profiles, which allow you to save different sets of configurations that can be easily switched between. This mechanism can be used to manage settings for multiple environments, such as "default," "cloud," "dev," etc. The use of profiles helps you avoid the need for multiple YAML files, as you can set environment-specific variables within each profile. You can create, view, and switch profiles with the prefect profile
CLI commands. More on profiles
2. Environment Variables: Prefect allows for overriding default settings with environment variables. This can be particularly useful when setting values dynamically based on the environment where the flow is running. More on overriding defaults with environment variables
3. YAML Recipes: Prefect comes with several recipes you can apply when initializing your deployment configuration, which is created via the prefect init
CLI command. These recipes give you more structured templates based on your context, such as if you are in a git repository. This can be a starting point that you adjust as needed for different environments. More on initialization and recipes
Based on these tools, the best practice is typically to use one prefect.yaml
file, and leverage profiles and environment variables to manage environment-specific configurations. However, if you find that profiles and environment variables do not cover your use case or if you prefer a more file-centric approach, maintaining separate YAML files per environment, such as prefect.yaml
and prefect.dev.yaml
, is also a valid strategy. The key is to find the balance that works best for your team and development workflow.Marvin
04/06/2024, 8:49 PMCross post: https://prefect-community.slack.com/archives/CL09KU1K7/p1712362458761089We're successfully running Prefect with our flows locally, and in the process of deploying it to production and setting up CI/CD pipelines. Locally we want to use local flow code storage for ease of use while developing. Deployed, we would like to either use Github or Azure Blob Storage for flow code storage. It seems like a common use case to have this variance across environment. Does anyone have experience with this in the prefect config? We would appreciate some pointers on best practices here. prefect.yaml (locally)
# pull section allows you to provide instructions for cloning this project in remote locations
pull:
- prefect.deployments.steps.set_working_directory:
directory: /opt/prefect/flows
prefect.yaml (deployed)
```# push section allows you to manage if and how this project is uploaded to remote locations
push:
- prefect_azure.deployments.steps.push_to_azure_blob_storage:
id: push_code
requires: prefect-azure>=0.2.8
container: my-prefect-azure-container
folder: my-folder
# pull section allows you to provide instructions for cloning this project in remote locations
pull:
- prefect_azure.deployments.steps.pull_from_azure_blob_storage:
id: pull_code
requires: prefect-azureMarvin
04/06/2024, 8:49 PM(Cross post: https://prefect-community.slack.com/archives/CL09KU1K7/p1712362458761089)We're successfully running Prefect with our flows locally, and in the process of deploying it to production and setting up CI/CD pipelines. Locally we want to use local flow code storage for ease of use while developing. Deployed, we would like to either use Github or Azure Blob Storage for flow code storage. It seems like a common use case to have this variance across environment. Does anyone have experience with this in the prefect config? We would appreciate some pointers on best practices here. prefect.yaml (locally)
# pull section allows you to provide instructions for cloning this project in remote locations
pull:
- prefect.deployments.steps.set_working_directory:
directory: /opt/prefect/flows
prefect.yaml (deployed)
```# push section allows you to manage if and how this project is uploaded to remote locations
push:
- prefect_azure.deployments.steps.push_to_azure_blob_storage:
id: push_code
requires: prefect-azure>=0.2.8
container: my-prefect-azure-container
folder: my-folder
# pull section allows you to provide instructions for cloning this project in remote locations
pull:
- prefect_azure.deployments.steps.pull_from_azure_blob_storage:
id: pull_code
requires: prefect