Stas Grinberg
06/28/2024, 2:52 PMMarvin
06/28/2024, 3:07 PMprefect.yaml
configuration file located in GitHub to an EKS cluster requires a few steps. Below is a high-level approach using GitHub, Prefect Cloud/Server, and EKS:
1. Store prefect.yaml
in GitHub Repository:
Ensure your prefect.yaml
file is properly versioned and stored in a GitHub repository.
2. Automate Deployment Pipeline:
Set up a CI/CD pipeline using tools like GitHub Actions to automate the deployment process.
3. Authenticate with Prefect Cloud/Server:
Ensure your pipeline can authenticate with your Prefect Cloud or Prefect Server instance. Store credentials securely using secrets management in your CI/CD tool (e.g., GitHub Secrets).
4. Configure Worker/Agent on EKS:
Deploy a Prefect Worker to your EKS cluster if not already done. Ensure it is configured to pull and execute flows based on the prefect.yaml
configuration.
5. Deploy `prefect.yaml`:
Use the Prefect CLI or an API call within your CI/CD pipeline to deploy the prefect.yaml
configuration.
Here is an example approach using GitHub Actions:
### Step-by-Step Process:
1. Store prefect.yaml
in GitHub:
Ensure your GitHub repository has the prefect.yaml
file committed.
2. Set Up GitHub Actions:
Create a GitHub Actions workflow in your repository (e.g., .github/workflows/deploy.yaml
):
yaml
name: Deploy Prefect Configuration
on:
push:
branches:
- main
jobs:
deploy:
runs-on: ubuntu-latest
steps:
- name: Checkout repository
uses: actions/checkout@v2
- name: Set up Python
uses: actions/setup-python@v2
with:
python-version: '3.8'
- name: Install Prefect
run: |
pip install prefect
- name: Authenticate with Prefect Cloud
env:
PREFECT_API_KEY: ${{ secrets.PREFECT_API_KEY }}
run: |
prefect cloud login -k $PREFECT_API_KEY
- name: Deploy Prefect Configuration
run: |
prefect deployment apply ./path/to/prefect.yaml
3. Store Secrets in GitHub:
Add your Prefect API key to GitHub Secrets:
- Go to your repository on GitHub.
- Navigate to Settings -> Secrets and variables -> Actions -> New repository secret
.
- Add a secret named PREFECT_API_KEY
with your Prefect API key as the value.
4. Configure and Run Prefect Worker on EKS:
Ensure you have a Prefect Worker running on your EKS cluster. Configure it to use the necessary Docker image and to be able to poll for work from your Prefect Cloud/Server.
Here's a summary of the tools in action for deployment:
- Prefect CLI: For applying the deployment configuration.
- GitHub Actions: For automating the deployment process.
- Secrets Management: For securely storing and accessing your Prefect Cloud API key.
Make sure to adjust paths and any specific configurations to match your repository structure and deployment requirements.
For additional references and details, here are some specific queries that might help:
- "deploying flows using prefect.yaml in GitHub repository"
- "prefect worker configuration on EKS"
Shall I search for you additional documentation or code examples related to these queries?Stas Grinberg
06/28/2024, 3:14 PMMarvin
06/28/2024, 3:15 PMprefect.yaml
with both the Prefect server and workers running on EKS. Here are some more focused guidelines and resources to help you achieve this:
### Resources and Documentation
1. Running Flows with Kubernetes (EKS):
- This guide will provide an in-depth walkthrough of running your Prefect flows on Kubernetes, particularly focusing on Amazon EKS.
- It includes prerequisites, cluster creation, and important configurations.
- Running Flows with Kubernetes on Prefect
2. Deploying Workers on ECS:
- While there is an example for ECS, the general concepts are also applicable for EKS with minor modifications.
- ECS Worker Guide on Prefect
### Step-by-Step Process
### 1. Cluster Setup:
Ensure your EKS cluster is either created or ready to be used.
sh
eksctl create cluster --fargate --name <CLUSTER-NAME>
# Ensure Helm and kubectl are installed and configured correctly.
### 2. Prefect Installation and Configuration:
#### Install Prefect Server:
- You'd typically create a Helm chart to install Prefect Server on your EKS.
sh
helm repo add prefecthq <https://helm.prefect.io>
helm install my-prefect-server prefecthq/prefect-server --namespace prefect
Modify the Helm chart configuration to fit your EKS environment.
#### Configure Prefect Worker:
You have to configure your Prefect Worker (now called Prefect Worker as the agents are deprecated). Here's how you deploy a worker to EKS:
yaml
apiVersion: apps/v1
kind: Deployment
metadata:
name: prefect-worker
spec:
replicas: 1
selector:
matchLabels:
app: prefect-worker
template:
metadata:
labels:
app: prefect-worker
spec:
containers:
- name: prefect-worker
image: prefecthq/prefect:latest
env:
- name: PREFECT_API_URL
value: "<your-prefect-server-url>"
- name: PREFECT_API_KEY
valueFrom:
secretKeyRef:
name: prefect-secrets
key: prefect-api-key
command: ["prefect", "worker", "start"]
### 3. Automate Deployment with GitHub Actions:
Create a GitHub Actions workflow to automate the deployment of your prefect.yaml
.
yaml
name: Deploy Prefect Configuration
on:
push:
branches:
- main
jobs:
deploy:
runs-on: ubuntu-latest
steps:
- name: Checkout repository
uses: actions/checkout@v2
- name: Set up Python
uses: actions/setup-python@v2
with:
python-version: '3.8'
- name: Install Prefect
run: |
pip install prefect
- name: Authenticate with Prefect Cloud
env:
PREFECT_API_KEY: ${{ secrets.PREFECT_API_KEY }}
run: |
prefect cloud login -k $PREFECT_API_KEY
- name: Deploy Prefect Configuration
run: |
prefect deployment apply ./path/to/prefect.yaml
### Example Prefect Flow:
Here is a minimal example to get you started:
python
import time
from prefect import flow, task
@task
def sleep(t: int):
print(f"Going to sleep for {t} seconds...")
time.sleep(t)
print("...and I'm awake!")
@flow(log_prints=True)
def my_flow():
sleep(3) # block the flow for 3 seconds (not concurrently)
future = sleep.submit(2) # submit a task run to the task runner, doesn't block flow
future.wait() # block the flow until the submitted task run is complete
sleep.map([5] * 10) # submit 10 at once, each sleeps for 5 seconds, don't block
if __name__ == "__main__":
my_flow()
For more detailed examples and configurations, these resources should be a good start. Feel free to check out the provided links:
- Running Flows with Kubernetes on PrefectMarvin
06/28/2024, 3:15 PM