@Marvin what are different components of free tier Prefect?

With the free tier of Prefect Cloud, you have access to a comprehensive set of features suitable for personal projects. Here are the core components: - Sandbox environment for exploring features. - Access to all core features of Prefect. - Hybrid hosted infrastructure, allowing use of Prefect's services with your own infrastructure. - Unlimited flows and tasks, meaning there's no restriction on the amount of workflow automation. - Basic data retention, ensuring you have access to your execution data for a limited period. In terms of collaboration and workspace management: - User Limit: Maximum of 2 users. - Workspace Limit: 1 workspace. - Core Features: Access to Prefect Cloud REST API, webhooks, event logging, and more. - Automations Limit: 10 automations. - Collaboration & Access: Basic roles for sharing and editing. For more details, you can check Prefect's pricing page here.

@Marvin I want to deploy prefect on Openshift, what are the different k8s objects I need to create to deploy my prefect object into Openshift cluster?

To deploy Prefect on an OpenShift cluster, you will need to interact with Kubernetes objects, as OpenShift is built on Kubernetes. The deployment process involves creating several key components: 1. Prefect Worker Deployment: Prefect uses workers to orchestrate and run workflows. You can deploy Prefect workers using Helm, which simplifies the deployment process by managing Kubernetes applications. Add the Prefect Helm repository to your Helm client and install the Prefect worker. 2. Kubernetes Managed Components: - Namespaces: Create a namespace like

prefect

to organize your resources. - Deployments: This manages the deployment of Prefect workers or agents. - Services: To expose your Prefect deployment, such as for the Prefect UI or API. - Persistent Volume Claims: If your flow executions require persistent storage. - ConfigMaps and Secrets: To manage configuration and sensitive information like API keys. 3. Cluster & Work Pool: - Set up a Kubernetes cluster, possibly managed via OpenShift tools. - Create a work pool and a Prefect Cloud API key to authenticate and authorize flows within your Prefect environment. 4. Prefect Flows: Define and deploy your Prefect flows to the OpenShift environment, ensuring that your Docker images are accessible, and the necessary Kubernetes resources are provisioned. For a detailed step-by-step process, you can refer to the Prefect documentation: - For Prefect 2.x, docs-2.prefect.io - For Prefect 3.x, docs-3.prefect.io These guides include essential configuration details and commands to run your Prefect flows on any Kubernetes environment, including OpenShift.

@Marvin I don’t want to use prefect cloud, what are the necessary components to deploy in k8s cluster? is it just server and worker ?

When deploying Prefect without using Prefect Cloud, there are several essential components you need to set up within your Kubernetes cluster. These include both the server and the worker components. 1. Prefect Server: This is the backend orchestration engine that needs to be up and running to manage flows, schedules, and task executions. It includes: - Core Server Components (these might be provided in a Helm chart or as Docker containers): - API Service: Handles requests to interact with Prefect. - UI: Provides a web interface for managing and monitoring flows. - Agent: Orchestrates flow runs within the environment. 2. Workers: These are responsible for executing the flows. Workers are deployed as Kubernetes Jobs and are configured to interact with the Prefect Server. - You would typically deploy a worker using a Helm chart. This sets up the necessary infrastructure to run your flows. 3. Database: Prefect requires a persistent database (e.g., PostgreSQL) to store state data for flows and tasks. This might be an external service or deployed within the cluster. 4. Scheduler: To handle scheduled tasks, the server typically includes or interacts with a scheduler service. 5. Storage: Persistent volumes may be required for certain flow executions, particularly if large data sets are involved or if state needs to be maintained across runs. These components ensure that your Prefect server can function independently of Prefect Cloud, providing a self-hosted orchestration platform. You can find more detailed setup instructions in the Prefect official documentation for Kubernetes deployments: - For Prefect 2.x, check the deployment guide. - For Prefect 3.x, refer to the infrastructure examples.

@Marvin for the first item in the above list - prefect server, could you help me generate a deployment for the prefect server?

To deploy a Prefect Server on Kubernetes, you'll generally create a Kubernetes Deployment YAML file. This deployment will include the Prefect server components, such as the API and UI. Below is a basic example of how you might structure the YAML for the Prefect Server Deployment:

yaml
apiVersion: apps/v1
kind: Deployment
metadata:
  name: prefect-server
  labels:
    app: prefect
spec:
  replicas: 1
  selector:
    matchLabels:
      app: prefect
  template:
    metadata:
      labels:
        app: prefect
    spec:
      containers:
      - name: prefect-server
        image: prefecthq/prefect-server:latest
        ports:
        - containerPort: 4200
          name: ui
        - containerPort: 4201
          name: graphql
        env:
        - name: PREFECT_SERVER_DB_CMD
          value: "prefect server database upgrade"
        - name: PREFECT_SERVER_DB_CONNECTION_URL
          value: "postgresql://<db-user>:<db-password>@<db-host>:<db-port>/<db-name>"
        readinessProbe:
          httpGet:
            path: /
            port: 4200
          initialDelaySeconds: 5
          periodSeconds: 10
        livenessProbe:
          httpGet:
            path: /
            port: 4200
          initialDelaySeconds: 15
          periodSeconds: 20

### Key Components: - replicas: This should generally be 1 unless you're deploying a Highly Available (HA) setup. - containers: Here, the

prefecthq/prefect-server:latest

image is used to run Prefect Server. Make sure to replace

<db-user>

,

<db-password>

,

<db-host>

,

<db-port>

, and

<db-name>

with your specific database configuration. - ports: Expose ports needed for the UI and GraphQL API. - probes: Readiness and liveness probes help ensure the server is functioning as expected. ### Additional Considerations: - Database Configuration: Make sure the Prefect Server can connect to a relational database like PostgreSQL. - Networking: You might also wish to create a Service to expose the Prefect Server. Ensure this Deployment is applied within a Kubernetes namespace appropriate for your Prefect architecture, and configure any additional resources such as ConfigMaps or Secrets as required. Adjust these settings based on your infrastructure needs and security standards.

just heads up, this yaml for running a server is a little bit off in a couple ways for example, there is no separate image

prefect-server

, its all just

prefecthq/prefect

I see, thank you so much! @Nate I’m a beginner in Prefect, just want to deploy things one component at a time to play around with it.

gotcha! easiest way to run a server in my opinion is just

prefect server start

or if you want a container

» docker run -p 4200:4200 -d --rm prefecthq/prefect:3-latest -- prefect server start --host 0.0.0.0

I see yep, sounds good let me try this then