@Marvin what are some ways to increase the debugging logs for both Prefect Server and Prefect Worker in a Kubernetes environment?

It seems there was a hiccup while I was trying to fetch the latest and most relevant information for you. GitHub seems to have denied access, and I overlooked including specific queries for the Prefect documentation search. I'll retry getting the details. Just give me a moment! To increase debugging logs for Prefect Server and Prefect Worker in a Kubernetes environment, you can use the following strategies: 1. Adjusting Log Levels: Prefect supports standard Python logging levels: CRITICAL, ERROR, WARNING, INFO, and DEBUG. By default, Prefect displays INFO-level and above messages, but you can configure it to show DEBUG-level messages for more detailed logs. For Prefect 2.x, you can refer to the Prefect 2.x logging guide. For Prefect 3.x, details about logging can be found in their logging documentation. 2. Including Logs from Other Libraries: By default, Prefect does not capture logs from other libraries. You can configure Prefect to include these logs using the

PREFECT_LOGGING_EXTRA_LOGGERS

setting, specifying the libraries you want to log. 3. Accessing Logs in Kubernetes: Ensure that your Kubernetes configurations (like pod and container configurations) are set up to retain logs for debugging purposes. Closer configurations, like logging retention policies and access methods, should be reviewed as part of your Kubernetes setup. For Prefect 3.x's Kubernetes settings, check out their documentation on deploying with Kubernetes. By customizing these settings, you'll be able to capture more detailed logs, making it easier to debug and monitor your Prefect flows within a Kubernetes environment. If only logs could just tell us their life stories, debugging would be so much easier, wouldn't it?

@Marvin how do I configure Prefect to include aiohttp logs using the

PREFECT_LOGGING_EXTRA_LOGGERS

setting?

To configure Prefect to include

aiohttp

logs, you can use the

PREFECT_LOGGING_EXTRA_LOGGERS

environment variable. This setting allows you to specify additional Python libraries whose logs you'd like Prefect to capture. Here's how you can set it up: 1. Set the Environment Variable: You can set this environment variable in your shell or include it in your environment configuration for Prefect.

bash
   export PREFECT_LOGGING_EXTRA_LOGGERS=aiohttp

2. Use a Profile or Configuration File: You can also configure this setting in a Prefect profile or configuration file. In a

.toml

config file, it might look something like:

toml
   [logging]
   extra_loggers = "aiohttp"

This will ensure that logs from

aiohttp

are included in Prefect's log output, which can be very helpful for debugging purposes. For more details, you can refer to the Prefect documentation on logging settings.

@Marvin can you give me a simple kubernetes deployment yaml file for both the Prefect Server and Worker in order to setup Prefect 3.0?

To set up Prefect Server and Worker in a Kubernetes environment for Prefect 3.0, you can create Kubernetes deployment YAML files. Below is a simple example to help get you started: Prefect Server Deployment YAML:

yaml
apiVersion: apps/v1
kind: Deployment
metadata:
  name: prefect-server
spec:
  replicas: 1
  selector:
    matchLabels:
      app: prefect-server
  template:
    metadata:
      labels:
        app: prefect-server
    spec:
      containers:
      - name: prefect-server
        image: prefecthq/prefect:3-latest
        command: ["prefect", "server", "start"]
        ports:
        - containerPort: 4200

Prefect Worker Deployment YAML:

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:3-latest
        command: ["prefect", "worker", "start"]
        env:
        - name: PREFECT_API_URL
          value: "<http://your-prefect-server-url:4200>" # Adjust as needed

### Key Points: - Command: The

prefect server start

and

prefect worker start

commands are used to launch the server and worker processes. - Environment Variables: For the worker, you need to set

PREFECT_API_URL

to point to the Prefect Server. - Images: These examples use the

3-latest

tag for Prefect 3.x images. - Ports: The server exposes port 4200. For more advanced customization and setup, you can refer to the Prefect documentation on deploying with Kubernetes.

@Marvin what about the necessary kubernetes yaml files to setup the roles, rolebindings, services, serviceaccounts and anything else that is required to get a working Prefect 3.0 instance?

Setting up a complete Prefect 3.0 instance in Kubernetes involves creating several Kubernetes resources: roles, role bindings, services, service accounts, and possibly others depending on your needs. Here's a basic outline of what those configurations might look like: Service Account YAML:

yaml
apiVersion: v1
kind: ServiceAccount
metadata:
  name: prefect-service-account
  namespace: default

Role YAML:

yaml
apiVersion: <http://rbac.authorization.k8s.io/v1|rbac.authorization.k8s.io/v1>
kind: Role
metadata:
  namespace: default
  name: prefect-role
rules:
- apiGroups: [""]
  resources: ["pods", "pods/log"]
  verbs: ["get", "list", "watch"]

Role Binding YAML:

yaml
apiVersion: <http://rbac.authorization.k8s.io/v1|rbac.authorization.k8s.io/v1>
kind: RoleBinding
metadata:
  name: prefect-role-binding
  namespace: default
subjects:
- kind: ServiceAccount
  name: prefect-service-account
  namespace: default
roleRef:
  kind: Role
  name: prefect-role
  apiGroup: <http://rbac.authorization.k8s.io|rbac.authorization.k8s.io>

Service YAML:

yaml
apiVersion: v1
kind: Service
metadata:
  name: prefect-server
spec:
  selector:
    app: prefect-server
  ports:
    - protocol: TCP
      port: 80
      targetPort: 4200
  type: LoadBalancer

These YAML files define how Prefect components will interact with the Kubernetes cluster. You will need to adapt these examples to your specific namespace and service configurations. For a more comprehensive setup, including using Helm charts (which can automate some of this process), you can refer to the Prefect documentation on Prefect Kubernetes Integration. This provides a structured way to manage and deploy Prefect components in a Kubernetes environment. Remember, just like setting up a home network, a certain level of customization is usually necessary to fit your infrastructure!