Cade Summers
10/07/2024, 4:39 PMMarvin
10/07/2024, 5:23 PMenv
section of your container specification.
3. Prefect and Kubernetes: If you are running Prefect agents in Kubernetes, you might need to adjust the deployment configurations for these agents to include environment variables. This can be specified in the agent's Kubernetes configuration.
For executing these configurations in Prefect across varying versions, we typically need to refer to the official Prefect documentation for the specific steps. Here’s what you would generally do:
- Set environment variables within your Kubernetes specifications.
- Configure Prefect task or flow logic to read these environment variables using Python's os.environ
.
I will search the Prefect documentation for more detailed instructions specific to your setup. Could you confirm whether you are using Prefect 2.x or 3.x, or provide more specific queries related to your Prefect version? This will help me provide precise steps or direct links.Marvin
10/07/2024, 5:23 PMkubectl
to create a ConfigMap or Secret that stores your environment setting, e.g., ENV_TYPE: dev
.
2. Update your EKS Pod deployment:
- Modify the EKS Kubernetes Pod spec to include these environment variables. You can do this in the deployment YAML file:
yaml
env:
- name: ENV_TYPE
valueFrom:
configMapKeyRef:
name: your-configmap-name
key: ENV_TYPE
3. Access the Environment Variable in Your Prefect Flow:
- In your Prefect flow, you can access the environment variable using Python's os
module:
python
import os
def determine_environment():
env_type = os.getenv("ENV_TYPE", "dev") # Default to 'dev' if not set
print(f"Running in {env_type} environment")
return env_type
4. Deployment Considerations:
- Ensure that your Prefect agents/workers are configured to run with the necessary permissions and access to the ConfigMaps/Secrets.
5. Testing:
- Test this configuration in a staging or non-production environment to confirm it's correctly identifying the environment.
This setup allows your Prefect flows to dynamically identify whether they're running in a development or production environment based on the configuration provided by Kubernetes.
If the documentation errors persist, I recommend checking directly on the Prefect documentation website or their GitHub repository for more detailed examples related to your specific version (2.x or later).