@Marvin I'm seeing this error in a prefect worker deployment running the

prefecthq/prefect:latest

on a linux/arm64 platform in kubernetes. Could you help me troubleshoot? Is there a way for me to either specify a tag for arm64 in the image tag, or specify a

linux/arm64

platform in the deployment manifest that pulls the image?

exec /usr/bin/tini: exec format error

It seems you're experiencing an architecture-related issue with Docker containers on an ARM platform. The error message

exec /usr/bin/tini: exec format error

typically indicates an architecture mismatch, meaning the binary isn't compatible with the platform's architecture. To resolve this, you can ensure that the Docker image being used is built for the ARM64 architecture. Here are a couple of ways you might approach solving this: 1. Specify a Multiplatform Image: Check if Prefect provides a multi-architecture Docker image variant that includes ARM64. Sometimes, image maintainers publish multi-architecture manifests. You could try running a command like:

docker pull --platform linux/arm64 prefecthq/prefect:latest

2. Build the Image for ARM64 Yourself: If a suitable image is not available, you might need to build the Docker image yourself on an ARM64 machine, ensuring all binaries are compatible. 3. Specify Platform in Kubernetes Deployment: You can specify the platform in the Kubernetes deployment manifest by adding the field to the image:

yaml
   spec:
     containers:
     - name: prefect
       image: prefecthq/prefect:latest
       imagePullPolicy: Always
       architecture: "linux/arm64"

4. Check Prefect Documentation or Discuss on Forums: Sometimes specific platforms or architectures are discussed in forums or support channels. Check on Prefect's Slack, forums, or GitHub discussions for ARM64-specific guidance. Please try these approaches, and you might also consider reaching out directly on prefect's forums or GitHub discussions for further support, particularly if an appropriate image isn't readily available. Let me know if you need further assistance!

@Marvin can you paste the full JSON format of the default base job template in a kubernetes work pool here?

The default base job template for a Kubernetes work pool in Prefect can be customized and is defined by two main sections:

job_configuration

and

variables

. Below you will find a generic structure mentioned in the Prefect documentation: For Prefect 3.x:

json
{
  "job_configuration": {
    "command": "{{ command }}",
    "env": "{{ env }}",
    "labels": "{{ labels }}",
    "name": "{{ name }}",
    "stream_output": "{{ stream_output }}",
    "working_dir": "{{ working_dir }}"
  },
  "variables": {
    "type": "object",
    "properties": {
      // Define properties following the OpenAPI specification
    }
  }
}

For Prefect 2.x, you might work directly with Kubernetes manifests within the worker settings, such as:

yaml
apiVersion: batch/v1
kind: Job
metadata:
  labels: "{{ labels }}"
  namespace: "{{ namespace }}"
  generateName: "{{ name }}-"
spec:
  ttlSecondsAfterFinished: "{{ finished_job_ttl }}"
  template:
    spec:
      parallelism: 1
      completions: 1
      restartPolicy: Never
      serviceAccountName: "{{ service_account_name }}"
      containers:
        - name: prefect-job
          env: "{{ env }}"
          image: "{{ image }}"
          imagePullPolicy: "{{ image_pull_policy }}"
          args: "{{ command }}"

The sections enclosed in

{{ }}

are placeholders that will be replaced with values at runtime. You can customize this template according to your needs, such as defining memory or CPU requests. For more detailed customization, check Prefect's Kubernetes Guide and the Work Pools Concepts. If you have further questions or need additional help, feel free to ask!

Hey @Marvin - I'm creating a work pool using the terraform provider and hitting a weird issue - here is a minimum reprroducible example in `main.tf`:

terraform {
    
  required_providers {
    prefect = {
      source = "prefecthq/prefect"
    }
  }
}

provider "prefect" {
  api_key = var.prefect_api_key
  account_id = var.prefect_account_id
}

resource "prefect_work_pool" "test_work_pool" {
  name = "test-work-pool"
  type = "kubernetes"
  workspace_id = var.prefect_workspace_id
}

I repeatedly get an error in terraform from the provider that seems like it is getting a 404 from the prefect API somewhere, but it's hard to know what the issue is:

prefect_work_pool.test_work_pool: Creating...
╷
│ Error: Error during create Work Pool
│ 
│   with prefect_work_pool.test_work_pool,
│   on <http://main.tf|main.tf> line 53, in resource "prefect_work_pool" "test_work_pool":
│   53: resource "prefect_work_pool" "test_work_pool" {
│ 
│ Could not create Work Pool, unexpected error: status code 404 Not Found,
│ error=

The issue you're facing with creating a work pool using the Terraform provider seems to be a 404 error from the Prefect API, which typically indicates a missing resource or incorrect configuration. ### Here are some potential reasons and solutions: 1. Ensure Correct API and Account ID: - Double-check that the

api_key

,

account_id

, and

workspace_id

are correct and that they correspond to an existing account and workspace in Prefect Cloud. 2. API Version Compatibility: - Make sure that the Terraform provider you are using is compatible with the current Prefect API version. Sometimes updates in the API may require updates to the provider. 3. Check Provider Version: - Use the latest version of the Prefect Terraform provider and ensure that your Terraform CLI is up to date. 4. Resource Existence: - Confirm that the resources you intend to reference actually exist and that the IDs are accurate. 5. Network Issues: - Check if there are any network issues or firewalls that might block the connection to the Prefect API. 6. Prefect API Documentation: - Reviewing Prefect's API documentation and Terraform provider documentation for any updates on resource requirements or similar known issues might be helpful. 7. Prefect Community Support: - Consider reaching out to Prefect's community for support or searching their forums. This error might have been encountered by others and discussed in community forums or Slack channels. You can refer to the links for more information: - Prefect Work Pools Concept - Prefect GitHub Issues If none of these suggestions solves the issue, it would be beneficial to review Prefect's GitHub issues or open a new issue with detailed logs to get more personalized support.